senior data engineer

aws data engineer

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senior data & ai/ml engineer

big data engineer

ASTRELUX IT INC

Job Description:We are seeking a highly skilled and motivated AWS Certified Engineer to design, build, and optimize scalable data solutions within the Amazon Web Services (AWS) ecosystem. The ideal candidate will have strong expertise in big data processing using PySpark and a deep understanding of data warehousing concepts, including Hive and modern table formats like Iceberg. This role involves developing, deploying, and managing robust, efficient, and secure data pipelines and analytics solutions on AWS, leveraging core networking and compute services.Responsibilities:<ul><li>AWS Solution Design &amp; Implementation: Design, develop, and deploy scalable and cost-effective data solutions on AWS, leveraging services such as S3 (for data lakes), EC2, EMR, Glue, Athena, Lambda, Redshift, and Kinesis.</li><li>Data Pipeline Development: Build and maintain robust ETL/ELT data pipelines using PySpark for data ingestion, transformation, and loading into various data stores, including those utilizing open table formats like Iceberg.</li><li>Big Data Processing: Develop and optimize big data processing jobs using PySpark on AWS EMR or AWS Glue, handling large datasets efficiently and integrating with Iceberg table formats.</li><li>Data Warehousing: Design, implement, and manage data warehousing solutions, including schema design, data modeling, and query optimization, with a focus on Hive and modern data lake table formats like Iceberg for historical data and analytical queries.</li><li>Cloud Infrastructure &amp; Networking: Implement secure and robust cloud infrastructure components, including VPCs, subnets, routing, and security groups, to ensure proper connectivity and isolation for data solutions.</li><li>Containerized Workloads: Design, deploy, and manage containerized data processing applications on Amazon Elastic Kubernetes Service (EKS).</li><li>Performance Tuning &amp; Optimization: Optimize AWS resources and big data applications (Spark, Hive, Iceberg) for performance, cost, and efficiency.</li><li>Data Governance &amp; Security: Implement best practices for data security, access control, and compliance within AWS, including IAM policies, S3 bucket policies, and encryption.</li><li>Monitoring &amp; Troubleshooting: Set up monitoring, alerting, and logging for data pipelines and AWS infrastructure; troubleshoot and resolve issues promptly.</li><li>Automation: Develop and maintain automation scripts using Python and shell scripting for infrastructure provisioning, deployment, and operational tasks.</li><li>Collaboration: Work closely with data scientists, analysts, and other engineering teams to understand data requirements and deliver reliable data solutions.</li></ul>Qualifications :<ul><li>AWS Certification: Hold at least one AWS certification (e.g., AWS Certified Solutions Architect &ndash; Associate, AWS Certified Data Analytics &ndash; Specialty, AWS Certified Developer &ndash; Associate).</li><li>AWS Services Expertise: Hands-on experience with key AWS services for data processing and storage including:</li><li>Storage: S3 (for data lakes), EC2</li><li>Data Processing: EMR, Glue, Athena, Lambda</li><li>Networking: VPC, Subnets, Routing, Security Groups</li><li>Containerization: EKS</li><li>Big Data Processing: Strong proficiency in PySpark for developing complex data transformations and analytics.</li><li>Data Lake Table Formats: Practical experience with Apache Iceberg for managing and querying data lakes.</li><li>Data Warehousing: In-depth knowledge and practical experience with Apache Hive for data storage, querying, and schema management.</li><li>Programming Languages:</li><li>Python: Expert-level proficiency in Python for scripting, data manipulation, and AWS automation (Boto3).</li><li>Shell Scripting: Proficient in shell scripting for automation and operational tasks.</li><li>Database &amp; SQL: Strong SQL skills for data querying and manipulation.</li><li>Data Concepts: Solid understanding of ETL/ELT processes, data modeling, distributed computing, and data governance.</li></ul>Good to Have Skills<ul><li>Containerization Orchestration: Experience with Kubernetes for deploying and managing containerized applications.</li><li>CI/CD: Experience with CI/CD tools and practices (e.g., AWS CodePipeline, GitHub Actions, GitLab CI) for automating deployment of data solutions.</li><li>Orchestration: Experience with workflow orchestration tools like Apache Airflow.</li><li>Version Control: Proficient in using Git for source code management.</li><li>Other Big Data Technologies: Exposure to other big data technologies like Apache Kafka, Flink, or Presto.</li></ul>Certifications<ul><li>AWS Certified Solutions Architect &ndash; Associate/Professional</li><li>AWS Certified Data Analytics &ndash; Specialty</li><li>AWS Certified Developer &ndash; Associate</li></ul>Pay: $130,000.00 - $140,000.00 per yearBenefits:<ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Work Location: On the road

AWS Data Engineer

Wells Fargo

<div>About this role:
Wells Fargo is seeking a Senior Data Engineer to join the CSBB Deposits Data &amp; Insights team Technology. The Consumer Technology organization provides data technology services to the Enterprise-wide lines of businesses, functions, and leaders. Business alignment includes Enterprise Risk, Enterprise Finance, Enterprise Data Management and Insights, Human Resources, Public Affairs (including Marketing), Customer Excellence, Audit and Legal. 
 
The Senior Data Engineer will be part of the BMG Data Warehouse team within the Consumer and Small Business/Digital Data team. The BMG data warehouse supports key Deposits, Servicing, and Debit/Credit Data sets used by CSBB and other LOB business partners for reporting and analytics. The role will be responsible for providing technical expertise for solution design for medium to complex data work efforts, hands-on development, code reviews and QA for the current state BMG Data Warehouse platform. The role may also include work related to the Target State Cloud Platform Strategy, Roadmap, and Migration activities.
In this role, you will:<ul><li>
Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables</li><li>
Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting</li><li>
Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors</li><li>
Oversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis</li><li>
Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements</li><li>
Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals</li></ul> 
Required Qualifications:<ul><li>
4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li></ul> 
Desired Qualifications:<ul><li>
4+ years of experience with Apache Spark, ETL(Ab Initio/Informatica/Data Stage), DBMS(Teradata/SQL Server), Java/Python/Scala(Programming language), Cloud essentials</li><li>
3+ years of Teradata and Unix experience</li><li>
2+ years of Data Engineering experience using Cloud Technologies, preferably with GCP &ndash; Google Cloud</li><li>
2+ years of AI technology implementations</li><li>
2+ years of experience with Agile</li><li>
2+ years of experience using Database Tools: Teradata, Load / Unload Utilities, Big Query</li><li>
Strong analytical skills with high attention to detail and accuracy</li><li>
Excellent verbal, written, and interpersonal communication skills</li><li>
Advanced SQL experience</li><li>
Advanced Microsoft Excel skills using power query</li><li>
Technical application support experience</li><li>
Ability to research, trend, analyze and model data</li><li>
Customer service focused with experience actively listening, eliciting information, comprehending customer issues/needs, and recommending solutions</li><li>
Ability to act as a liaison between the client area and technical organization</li><li>
Effective organizational, multi-tasking, and prioritizing skills</li><li>
Solid knowledge and understanding processes, procedures, and technologies</li></ul> 
Job Expectations:<ul><li>
Ability to work in a fast-paced environment</li><li>
Ability to understand business requirements and translate into data models and solutions that efficiently meet customer needs</li><li>
Works quickly and independently to meet required sprint objectives</li><li>
Actively participates in cross-team meetings and is excited to share knowledge for broader team improvement</li></ul>
Posting End Date:
2 Jul 2026<ul><li>Job posting may come down early due to volume of applicants.</li></ul>
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit&rsquo;s risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy 
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</div>

Senior Data Engineer

LTM Limited

<div>Role description 
Job Summary

 Seeking a Senior professional with 3 to 5 years of experience in Python Scala and SparkSQL to design and optimize scalable big data processing solutions within the DatabricksSparkSQLScalaPythonJava ecosystem

 Job Description

 Develop and maintain scalable data processing pipelines using Apache Spark with Python and Scala Utilize SparkSQL to analyze large datasets and extract meaningful insights supporting datadriven decision making Collaborate with crossfunctional teams to integrate big data solutions into existing systems Optimize Spark jobs for performance and efficiency in distributed computing environments Ensure data quality and consistency across various data sources Stay updated with the latest advancements in Spark Scala Python and related big data technologies to continuously improve processing capabilities

Roles and Responsibilities

 Design develop and deploy complex data processing workflows leveraging Apache Spark Scala Python and SparkSQL Write efficient reusable and maintainable code for Spark applications Troubleshoot and resolve performance bottlenecks in Spark jobs and data pipelines Collaborate with data engineers data scientists and stakeholders to translate business requirements into technical solutions Conduct code reviews and provide mentorship to junior team members on best practices and coding standards Participate in architectural discussions and contribute to the evolution of big data platforms Monitor and maintain the health availability and reliability of Spark clusters and data servicesKarat Interview mandate 
Skills 
Mandatory Skills : Python, Scala, SparkSQL 
Other details 
Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (&ldquo;LTIM&rdquo;):

Benefits and Perks:
<ul>
<li>Comprehensive Medical Plan Covering Medical, Dental, Vision</li>
<li>Short Term and Long-Term Disability Coverage</li>
<li>401(k) Plan with Company match</li>
<li>Life Insurance</li>
<li>Vacation Time, Sick Leave, Paid Holidays</li>
<li>Paid Paternity and Maternity Leave</li>
</ul>
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. 
Benefits 
Compensation range: $83,912.00 to $107,720.00 per year 
About LTM 
LTM is an AI-centric global technology services company and the Business Creativity partner to the world&rsquo;s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI &mdash; enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM &mdash; a Larsen &amp; Toubro company &mdash; owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/</div>

LTIMindtree

<div>Role description 
Job Title: Big data Developer

Work Location : Irving,Texas

Job Summary

 Seeking a Senior professional with 3 to 5 years of experience in Python Scala and SparkSQL to design and optimize scalable big data processing solutions within the DatabricksSparkSQLScalaPythonJava ecosystem

 Job Description
<ul>
<li> Develop and maintain scalable data processing pipelines using Apache Spark with Python and Scala Utilize SparkSQL to analyze large datasets and extract meaningful insights supporting datadriven decision making Collaborate with crossfunctional teams to integrate big data solutions into existing systems Optimize Spark jobs for performance and efficiency in distributed computing environments Ensure data quality and consistency across various data sources Stay updated with the latest advancements in Spark Scala Python and related big data technologies to continuously improve processing capabilities</li>
</ul>
Roles and Responsibilities
<ul>
<li> Design develop and deploy complex data processing workflows leveraging Apache Spark Scala Python and SparkSQL Write efficient reusable and maintainable code for Spark applications Troubleshoot and resolve performance bottlenecks in Spark jobs and data pipelines Collaborate with data engineers data scientists and stakeholders to translate business requirements into technical solutions Conduct code reviews and provide mentorship to junior team members on best practices and coding standards Participate in architectural discussions and contribute to the evolution of big data platforms Monitor and maintain the health availability and reliability of Spark clusters and data servicesKarat Interview mandate</li>
</ul> 
Skills 
Mandatory Skills : Python, Scala, SparkSQL 
Other details 
Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (&ldquo;LTIM&rdquo;):

Benefits and Perks:
<ul>
<li>Comprehensive Medical Plan Covering Medical, Dental, Vision</li>
<li>Short Term and Long-Term Disability Coverage</li>
<li>401(k) Plan with Company match</li>
<li>Life Insurance</li>
<li>Vacation Time, Sick Leave, Paid Holidays</li>
<li>Paid Paternity and Maternity Leave</li>
</ul>
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. 
Benefits 
Compensation range: $79,851.00 to $107,720.00 per year 
About LTM 
LTM is an AI-centric global technology services company and the Business Creativity partner to the world&rsquo;s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI &mdash; enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM &mdash; a Larsen &amp; Toubro company &mdash; owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/</div>

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
Position Summary: Caremark LLC, a CVS Health company, is hiring for the following role in Irving, TX: Sr. Data Engineer to Develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications. Duties include: develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs; write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing that improve existing systems and expand capabilities; collaborate with Data Science team to transform data and integrate algorithms and models into automated processes; test and maintain systems and troubleshoot malfunctions; leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines; utilize programming skills in Python, Java, or similar languages to build robust data pipelines and dynamic systems; build data marts and data models to support Data Science and other internal customers; integrate data from a variety of sources and ensure adherence to data quality and accessibility standards; analyze current information technology environments to identify and assess critical capabilities and recommend solutions to complex business problems; and experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case. Multiple positions. Requirements: Master&rsquo;s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field and one (1) year of experience in the job offered or related occupation. Requires one (1) year of experience in each of the following: Programming in Java, Python, or R; CI/CD, Jenkins, GIT, Java, or Python; JSON, HTML, or CSS; Agile methodologies; REST, SOAP, or Web Service APIs; JIRA or Confluence; Software testing, quality assurance, and troubleshooting; Domain support for healthcare or retail organization; Software development lifecycle; Web and mobile applications development; and Writing application code and deploying to production. Pay Range: $114379.00/year to $185400.00/year.
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program. 
 
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company&rsquo;s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (&ldquo;PTO&rdquo;) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. 
 
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. 
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. 
Additional details about available benefits are provided during the application process and on Benefits Moments. 
This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Sr. Data Engineer

Meriton

<div><div>Meriton is a national team of experts driving HVAC innovation through a network of high-performing companies. From strategy and support to systems and solutions, we work behind the scenes to strengthen operations and build value&mdash;for our partners and our people.

If you're looking to make an impact, we're glad you're here. At Meriton, you'll join a team that believes in big ideas, doing great work, and building careers that matter&mdash;every step of the way.</div>
Job Title: Data Analyst

Reports To: Data Migration Lead

FLSA Status: Exempt

Location: Shared Services Office, Irving, TX 

Summary:

Project Ignite is a large-scale enterprise transformation program uniting 20+ operating companies onto a single Microsoft Dynamics 365 Finance &amp; Operations and Project Operations platform. We are building a deployment factory designed to roll out several entities per year across a tiered portfolio - from common-stack migrations to mid-complexity entities with unique process and integration requirements.

This Data Analyst role will support a multi-wave enterprise transformation program by helping prepare, assess, map, validate, and migrate data for D365 Finance &amp; Operations (PMA) and D365 Project Operations deployments connected via dual-write. This is a role for a candidate with a strong foundation in SQL, solid business or MIS education, and hands-on experience with reporting or analytics tools. The analyst will work alongside Business Systems Analysts, Data Migration Leads, Solution Architects, Integration Engineers, and business stakeholders to translate source data into migration-ready, auditable, and reusable outputs. The role will aid analysis, data mapping, system assessment, and readiness planning. 

Essential Duties and Responsibilities: 
 
Data Assessment and Deployment Readiness
<ul>
<li>Profile legacy/source data, assessing source-system readiness, and identifying data dependencies, gaps, and quality issues for upcoming deployment waves.</li>
<li>Use SQL to extract, join, validate, compare, and reconcile datasets from source systems, staging files, and target structures.</li>
<li>Build and maintain source-to-target mapping workbooks, data-quality issue logs, reconciliation workpapers, and extraction inventories.</li>
<li>Support repeatable migration playbooks, file-governance standards, naming conventions, and handoff procedures that can scale across multiple OpCos.</li>
</ul>
Business Process &amp; Requirements
<ul>
<li>Translate business rules, legacy field usage, and entity-specific process differences into clear mapping logic, transformation rules, and documented requirements.</li>
<li>Partner with business stakeholders to understand how source data is created, maintained, and used operationally, then assess fit against target-state requirements.</li>
<li>For later go-live waves, own the data workstream for one OpCo covering extraction, analysis, assessment, mapping, offline migration activities, issue resolution follow-up, and stakeholder communication.</li>
<li>Contribute to standard templates and reusable practices so that later waves are faster, more consistent, and less dependent on one-off decisions.</li>
</ul>
Delivery &amp; Cross-Functional Collaboration
<ul>
<li>Work closely with BSAs, Solution Architects, Integration Engineers, QA, and business SMEs to support testing, mock conversions, cutover planning, and hypercare activities.</li>
<li>Track open issues, risks, assumptions, dependencies, and status updates for assigned scope; escalate blockers early and communicate clearly with affected stakeholders.</li>
<li>Coordinate any offline migration activities for the assigned workstream, including file preparation, validation, handoff timing, and business communications.</li>
<li>Support UAT and dress-rehearsal cycles by validating data outcomes, tracing defects, documenting findings, and confirming remediation steps.</li>
<li>Based on demonstrated capability and program need, the role may also support or own pipelines, ETL procedures, and selected Microsoft Fabric assets or orchestration components used for migration, transformation, or reporting.</li>
</ul>
Knowledge Transfer &amp; Capability Building
<ul>
<li>Document SQL logic, mapping assumptions, transformation rules, issue resolutions, and repeatable procedures so that future waves can reuse proven approaches.</li>
<li>Create and maintain training aids, runbooks, and reference materials for recurring extraction, mapping, validation, and offline migration tasks.</li>
<li>Build working familiarity with D365 data entities, data projects/packages, staging concepts, and Power Platform components relevant to reporting, workflow, and integration.</li>
<li>Contribute lessons learned after test cycles and deployments to strengthen the program's internal data-migration capability over time.</li>
</ul>
How You Will Succeed:

Project Ignite moves fast. We are building a deployment factory that will roll out to several entities per year, which means the decisions you make in the build phase have multiplied impact.
 
The people who thrive in this program share a few traits:
<ul>
<li>Standardization mindset - you default to the template and document exceptions rather than customizing first, while understanding that operating companies can have different expectations that warrant a documented deviation</li>
<li>Bias toward documentation - you treat playbooks and design logs as delivery outputs, not afterthoughts</li>
<li>Collaborative but opinionated - you build strong relationships across finance, IT, and SI teams while being willing to push back when requirements threaten repeatability or impact the program timeline</li>
<li>Ownership orientation - you follow issues through to resolution rather than handing them off at the boundary of your role</li>
<li>Comfortable with ambiguity - this is a standing-up phase; not everything will be defined, and you will help define it</li>
</ul>
Other Duties:
<ul>
<li>Regular, consistent and necessary communication to meet the needs of the business</li>
<li>Assists the leadership team and other team members with various research projects and/or special projects</li>
<li>Performs other duties and responsibilities as assigned</li>
<li>Must conduct self in an ethical, legal, and responsible manner at all times</li>
<li>Must adhere to the policies, principles, and guidance within the Employee Handbook and Code of Conduct</li></ul> 
 
Education/Experience:
<ul>
<li>Bachelor's degree in Management Information Systems, Business, Business Analytics, Information Systems, or a closely related field</li>
<li>5-8 years of experience in ERP business analysis, financial systems, or finance operations - we prioritize D365 F&amp;O depth over years</li>
<li>SQL Experience is a must have, Fabric or PowerBI experience is nice to have</li>
<li>Experience with Microsoft Dynamics 365 Finance &amp; Operations PMA strongly preferred, with direct involvement in at least one full-cycle implementation or major module rollout</li>
<li>Experience participating in UAT, data validation, or cutover activities on an ERP implementation; comfortable working in an agile delivery model with sprint-based deliverables</li>
<li>Preferred: experience with D365 Project Operations or project-based billing; exposure to multi-entity deployments; familiarity with Power BI or financial reporting tools; data migration concepts in D365</li>
<li>Must be proficient in the Microsoft Office Suite, including Outlook, Excel, PowerPoint and Word</li></ul> 
 
Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essentials functions. The noise level in the work environment is usually moderate. The workplace is in a corporate office environment and the temperature in the work environment is usually moderate. The position's primary office is the Shared Services, Irving, TX office; however, telework or work at home, on the road, or in a satellite location for portions of the workweek may occur, depending upon project needs and requirements in coordination with your direct supervisor and/or most senior leader of your department. Occasional travel may be required. 
 
Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable the individuals with disabilities to perform the essentials functions.
<ul>
<li>Must be able to walk, bend, stand, and reach constantly during a workday</li>
<li>Must be able to lift 15 &ndash; 20 lbs.</li>
<li>Standing for long periods of time (4-5 hours) occasionally</li>
<li>Must be able travel via plane or car to events</li></ul><div> 

Employment practices will not be influenced or affected by an applicant's or employee's race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, sexual orientation, gender identity or expression, veteran status or any other legally protected status. Reasonable accommodations will be made for qualified individuals with disabilities unless doing so would result in an undue hardship.

Salary ranges listed are dependent upon a candidate's qualifications, experience, internal equity, and the budgeted amount for the specific role and location.</div></div>

Data Analyst

<div>Role description 
Job Role: GenAI Developer

Job Location: Irving, Texas

Job Description:

1. Engineering &amp; Production-Grade Development (40%)
<ul>
<li>Hands-on Coding: Lead the development of production-ready systems with expert-level proficiency in Python or PySpark.</li>
<li>Solution Engineering: Apply advanced data structures, algorithms, and software design patterns to solve real-world financial services challenges.</li>
<li>Scalability &amp; Performance: Architect high-scale solutions with a big-picture approach, ensuring system latency and infrastructure costs are optimized to drive tangible business value.</li>
<li>Lifecycle Management: Own the transition from MVP to live solutions, managing change control and enterprise-level AI integration.</li>
</ul>
2. Advanced AI Implementation &amp; R&amp;D (40%)
<ul>
<li>Generative AI &amp; RAG: Design and deploy sophisticated RAG pipelines. Orchestrate LLM-as-a-Service (e.g., GPT-4, Gemini, Vertex AI) alongside local SLMs (e.g., Llama 3, Mixtral).</li>
<li>Agentic Workflows: Build autonomous agents using frameworks such as LangGraph (preferred), CrewAI, or AutoGen to automate complex, multi-step business logic.</li>
<li>MLOps &amp; Governance: Take full ownership of the model lifecycle, including fine-tuning LLMs/SLMs, monitoring model drift, ground truth validation, and ensuring compliance with Model Risk Management (MRM) standards.</li>
<li>UAT Validation: Drive User Acceptance Testing (UAT) focused on specific business outcomes and accuracy benchmarks.</li>
</ul>
3. Leadership &amp; Solution Orchestration (20%)
<ul>
<li>Stakeholder Management: Navigate complex client ecosystems, acting as the primary technical liaison for both C-suite stakeholders and engineering teams.</li>
<li>Strategic Communication: Translate high-level business requirements into sustainable, high-value generative AI solutions.</li>
<li>CoE Liaison: Partner with the BFS AI CoE to bring cutting-edge R&amp;D and incubated solutions, actively participating in multiple client AI solution demos and delivery assurance to global clients.</li>
<li>Team Mentorship: Lead and inspire a high-performing technical team, fostering a positive, solution-oriented mind and an initiative-taking culture.</li>
</ul> 
Skills 
Mandatory Skills : AI/GenAI Research, AI/Generative AI 
Other details 
Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (&ldquo;LTIM&rdquo;):

Benefits and Perks:
<ul>
<li>Comprehensive Medical Plan Covering Medical, Dental, Vision</li>
<li>Short Term and Long-Term Disability Coverage</li>
<li>401(k) Plan with Company match</li>
<li>Life Insurance</li>
<li>Vacation Time, Sick Leave, Paid Holidays</li>
<li>Paid Paternity and Maternity Leave</li>
</ul>
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. 
Benefits 
Compensation range: $90,000.00 to $125,000.00 per year 
About LTM 
LTM is an AI-centric global technology services company and the Business Creativity partner to the world&rsquo;s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI &mdash; enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM &mdash; a Larsen &amp; Toubro company &mdash; owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/</div>

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