cloud data engineer

Mercedes-Benz Group

<div><div><div><div><div><div><div><div>T&auml;tigkeitsbereich:IT/Telekommunikation</div></div><div><div>
Fachabteilung:Tech MBFS North America</div></div><div><div>
Gesellschaft:Mercedes-Benz Financial Services USA LLC</div></div><div><div>
Standort:Mercedes-Benz Financial Services USA LLC, Fort Worth, TX
</div></div><div><div>Startdatum:sofort</div></div><div><div>
Ver&ouml;ffentlichungsdatum:28.07.2026</div></div><div><div>
Stellennummer:MER00046PA</div></div><div><div>
Arbeitszeit:Vollzeit</div></div></div></div><div><div><div>
</div></div></div></div></div></div><div><div><div><div>Aufgaben<div><div><p>
About Us:</p><p>
Who is Mercedes-Benz Financial Services?<br>
Mercedes-Benz Financial Services, part of the global company Mercedes-Benz Mobility AG is the captive financing and mobility solutions company of the global luxury automobile manufacturer, Mercedes-Benz AG. We offer a comprehensive range of automotive financial and insurance products that make it easy for our customers to drive their dream Mercedes-Benz vehicle.<br>
<br>
Why work at Mercedes-Benz Financial Services?<br>
Working at Mercedes-Benz Financial Services is more than a job &ndash; it&rsquo;s an opportunity to join an innovative team where you are valued for your contributions. As an employee, you will experience career development in a positive, employee-centric environment. We&rsquo;re a global company that not only offers best-in-class products to our customers but also best-in-class benefits to our employees. Our employees experience a comfortable, friendly environment and relaxed, inclusive culture.
</p><p>Benefits</p><p></p><p><br>
When working at Mercedes-Benz Financial Services, you will enjoy a comprehensive and amenity-rich benefits package offering something for every employee at each stage of their life.</p><p></p><p><br>
As a new employee, you will have the opportunity to take advantage of the following benefits that go beyond &ndash; beginning day one:</p><p></p><p><br>
Get Rewarded! Competitive salary plus an annual bonus based on company performance and/or personal yearly performance</p><p><br>
</p><p>Need a vacation? How about just some time for YOU! In addition to our vacation time, you&rsquo;ll receive fifteen (15) additional corporate holidays, which will allow you to celebrate religious holidays or escape to the spa! Designed to be flexible, we let you decide which days are most important to you!</p><p></p><p><br>
Ride in Style - All employees are eligible to participate in the Mercedes-Benz Employee Lease Program</p><p></p><p><br>
We want you to be healthy! Outstanding medical, dental, and vision insurance, employer-paid short and long term disability plus on-site exercise facilities</p><p></p><p><br>
Is your family growing? Enjoy generous paid Family Leave Programs - Six Weeks for New Parents; Adoption Expense Reimbursement Programs - up to $6k per child</p><p><br>
</p><p>Want to go back to school? Tuition Assistance Scholar Program - receive up to $8k in vouchers to complete business-related coursework</p><ul><li>
$6k for undergraduate</li><li>
$8k for graduate</li></ul><p>
Job Overview:</p><p>
The cloud data engineer is responsible for data engineering and analysis support to the contract</p><p>
management and tax applications. This position requires a proactive mindset, strong technical</p><p>
background, solid data analysis and business analysis skills.. The Cloud Data Engineer supports core</p><p>
applications such as Contract Management, Tax, and Accounting.</p><p></p><p><br>
Key job responsibilities include:</p><ul><li>
Understanding the data layout of the contract management and tax systems, and build data solutions to support business requirements</li><li>
Write and execute scripts to extract data from internal databases for validations, analysis, and other system integrations</li><li>
Partner with business and other tech teams to translate business needs to design and develop dashboards and reports</li><li>
Build APIs to support integrations</li><li>
Drive analysis that provides meaningful insights on business strategies</li><li>
Support teams in data migration activities, building AI and automation capabilities.</li><li>
Have working knowledge of Azure cloud, and is capable of building solutions using data from multiple clouds.</li><li>
Experience in Java, PostgreSQL, and Python is highly recommended.</li><li>
Occasionally, build data infrastructure to support new application upgrades.</li></ul><p></p><p><br>
The Cloud data engineer is required to maintain a productive working relationship with business and other IT applications. Flexibility and the ability to adapt to a variety of responsibilities and settings are crucial to success in this position. Position will require supporting Internal Control System (Sarbanes-Oxley) processes and documentation.</p><p>
Responsibilities:</p><ul><li>Perform Production Support: Promptly address customer issues/tickets; Address system</li></ul>
issues by performing root cause analysis and eliminating repeat problems (25%)<br>
<ul><li>Act as a Data Analyst for the application. Understand the functional aspects, business</li></ul>
processes, interfaces, screens, business flow and data of the multiple systems. (20%)<br>
<ul><li>Conduct data analysis, build reports, build APIs to support integrations, support data</li></ul>
migrations, build AI and automation capabilities (20%)<br>
<ul><li>Plan/Communicate: Develop plans and time estimates; Track progress to plans; Communicate</li></ul>
status, issues and risks to manager on a timely basis. Develop strong and productive<br>
relationships with business partners, colleagues and management. (15%)<br>
<ul><li>Comply with departmental standards: Ensure that all work is performed in accordance with</li></ul>
Sarbanes Oxley requirements and ITM standards, as defined in business process system.<br>
Comply with and document for audit purposes project methodologies for both Program<br>
Change (PC) and Program Development (PD). (10%)<br>
<ul><li>Build database structures as needed during application upgrades (10%)</li></ul></div></div></div></div></div><p></p><div><div><div><br>
Qualifikationen<div><div><p>
Qualifications:</p><p>
Applicants must be legally authorized to work in the U.S. at the time of application. Relocation assistance will not be provided for this position.<br>
This position requires a minimum of 3 years of overall work experience. Preferred experience includes:</p><ul><li>
Information Technology: 1-3 years</li></ul><p>
Education:<br>
Bachelor's Degree is required. Recommended majors include:</p><ul><li>
Information Technology</li><li>
Computer/Information Science</li></ul><p><br>
Additional Knowledge:</p><ul><li>
Ability to Collect data and establish facts and identify trends and variances</li><li>
Ability to Integrate information from a variety of sources with varied levels of complexity</li></ul><p><br>
Skills:</p><ul><li>
Analytical skills<ul><li>
Ability to Collect data and establish facts and identify trends and variances</li></ul></li><li>
Facilitation skills</li><li>
IT skills<ul><li>
Testing</li><li>
Programming</li><li>
Database</li></ul></li><li>
PC skills<ul><li>
Microsoft Office</li></ul></li><li>
Presentation skills</li><li>
Problem Solving skills</li><li>
Project Management skills<ul><li>
Team member</li></ul></li></ul><p>
Additional Skills:</p><p>
Cloud Skills: Cloud, preferably MS Azure cloud, is a plus.</p><br>
<p></p><ul><li>
Strong communication skills that can be adapted to the level of the audience.</li><li>
Relies on extensive experience and sound judgment to plan and accomplish goals.</li><li>
Simultaneously performs a variety of complex tasks.</li><li>
Development of presentations</li><li>
MS Tools<ul><li>
PowerPoint</li><li>
Word</li><li>
MS Project</li><li>
Mail and scheduling tools.</li></ul></li><li>
Strong analytical and problem solving skills.</li><li>
Successful team worker with ability to work individually.</li><li>
Ability to communicate and clarify actions, objectives and goals.</li></ul><p>
Posting Statement</p><p>
If you were not re-directed successfully after clicking the &ldquo;Apply for this job&rdquo; button, please click the following link to search and apply for the role on the local career portal: https://daimler.taleo.net/careersection/ex/jobsearch.ftl</p><p><br>
Mercedes-Benz Financial Services offers competitive salary, performance-based bonuses and a full suite of benefits including 401(K) with match, generous vacation and personal time, a Mercedes-Benz car program as well as flexible work arrangements.</p><p><br>
EEO/Minorities/Females/Disabled/Vets</p><p><br>
#LI-JM2</p></div></div></div></div></div></div><div><div><div>
Benefits</div><div></div><div><div><div>
Mitarbeiter Events
</div><div></div><div>Mitarbeiterrabatte m&ouml;glich
</div><div></div><div>Mitarbeiterhandy m&ouml;glich
</div><div></div><div>Mobilit&auml;tsangebote
</div><div></div><div>Betriebliche Altersversorgung
</div><div></div><div>Gesundheitsma&szlig;nahmen
</div><div></div><div>Coaching
</div><div></div><div>Kantine, Caf&eacute;
</div><div></div><div>Parkplatz
</div><div></div><div>Barrierefreiheit
</div></div></div></div></div><div></div><div><div><div>KontaktMercedes-Benz Financial Services USA LLC<div><div>
14372 Heritage Pkwy76177 Fort WorthDetails zum Standort</div><div>
NAFTA SSC E-Mail: nafta_ssc_recruiting@mercedes-benz.com</div></div></div></div></div></div><div></div>

Cloud Data Engineer

Triwave Solutions Inc

<div><div><p>Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system: Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports. Writes detailed description of user needs, program functions, and steps required to develop or modify computer program. Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system.</p>
<p>
Seeking a Cloud Data Migration Engineer with hands-on experience migrating Oracle workloads to AWS using AWS DMS, supporting full-load, CDC, and real-time streaming data migration architectures. The ideal candidate will have strong expertise in AWS infrastructure and networking (VPCs, subnets, security groups, VPNs, Direct Connect), cloud-native services (EC2, RDS, S3, IAM, Lambda), and Infrastructure as Code using Terraform or CloudFormation. Experience with ETL/ELT processes, migration planning, cutover and rollback strategies, automation using Python/Bash/PowerShell, and monitoring through CloudWatch and CloudTrail is required. Strong communication skills and experience modernizing legacy on-premises systems in hybrid cloud environments are highly desirable.</p>
</div>
<div><b>II. CANDIDATE SKILLS AND QUALIFICATIONS</b></div><br>
<p></p>
<div>
<div><div><div><div><b>Minimum Requirements:</b><br>
Candidates that do not meet or exceed the <b>minimum</b> stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.</div>
</div><br>
</div><div></div><div><div><div>Years</div> <div>Required/Preferred</div> <div>Experience</div>
</div><br>
<div><div>8</div> <div>Required</div> <div>Experience in IT, supporting the design, development, deployment, or delivery of technology solutions.</div>
</div><br>
<div><div>8</div> <div>Required</div> <div>Experience using AWS Database Migration Service (DMS) to migrate data from Oracle to AWS.</div>
</div><br>
<div><div>8</div> <div>Required</div> <div>Experience with batch and real-time data ingestion, including full loads, Change Data Capture (CDC), and streaming architectures.</div>
</div><br>
<div><div>8</div> <div>Required</div> <div>Experience with AWS cloud services, specifically designing and implementing infrastructure and networking (VPC, subnets, security groups, routing).</div>
</div><br>
<div><div>8</div> <div>Required</div> <div>Experience with core AWS services (EC2, RDS, S3, IAM, Lambda) and infrastructure-as-code tools (CloudFormation or Terraform).</div>
</div><br>
<div><div>8</div> <div>Required</div> <div>Experience with ETL/ELT processes and data integration methodologies in cloud migration projects.</div>
</div><br>
<div><div>8</div> <div>Required</div> <div>Experience with scripting and automation using Python, Bash, or PowerShell.</div>
</div><br>
<div><div>8</div> <div>Required</div> <div>Experience configuring and managing cloud network security, including VPNs, Direct Connect, and security groups.</div>
</div><br>
<div><div>8</div> <div>Required</div> <div>Experience with monitoring and logging tools (e.g., AWS CloudWatch, CloudTrail).</div>
</div><br>
<div><div>8</div> <div>Required</div> <div>Experience developing data migration and cutover plans, including rollback strategies and minimizing downtime.</div>
</div><br>
<div><div>8</div> <div>Required</div> <div>Excellent communication skills, both verbal and written, including documenting technical designs and migration runbooks.</div>
</div><br>
<div><div>8</div> <div>Required</div> <div>Experience with hybrid cloud/on-premises connectivity and legacy system modernization.</div>
</div><br>
<div><div>4</div> <div>Preferred</div> <div>AWS certification(s) such as AWS Certified Solutions Architect or AWS Certified Database &ndash; Specialty.</div>
</div><br>
<div><div>1</div> <div>Preferred</div> <div>Experience working in public sector or state government environments.</div></div></div></div></div></div>

Cloud Data Migration Engineer

Premier Cloud

<div><p><b>About Premier Cloud</b></p><p>
Premier Cloud is a Google Cloud Premier Partner dedicated to helping organizations modernize, collaborate, and scale through the power of cloud technology. Founded in 2001, we deliver cloud consulting, managed services, and tailored solutions to SMB and enterprise clients across North America.</p><p></p><p><br>
As one of Canada&rsquo;s fastest-growing companies, we help businesses unlock the full potential of Google Cloud, along with leading SaaS platforms like JumpCloud, Lumin, and Virtru. Our team is driven by innovation, technical excellence, and a shared commitment to delivering measurable impact for our clients.</p><p></p><p><br>
At Premier Cloud, we take pride in maintaining a collaborative, light-hearted culture that values creativity, growth, and inclusion. Year after year, we&rsquo;re recognized as a Great Place to Work-Certified&trade; organization and featured among the Best Workplaces in Technology.</p><p></p><p><b><br>
About the role</b></p><h2 class="jobSectionHeader"><b>
Join us as a Customer Engineer, Data &amp; Analytics</b></h2><p><b>
Premier Cloud - Austin, TX</b></p><h3 class="jobSectionHeader"><b>
Premier Cloud at a Glance</b></h3><p>
Premier Cloud, a Google Cloud Premier Partner, specializes in helping SMB and Enterprise clients across North America modernize, collaborate, and innovate using Google Cloud and SaaS solutions. They offer consulting, managed services, and cloud solutions to major organizations.</p><ul><li>
One of the fastest-growing companies in Canada, headquartered in Victoria, BC, with an office in Austin, TX.</li><li>
Certified a <b>Great Place to Work</b> for 6 years in a row.</li></ul><p><b>
Premier Cloud&rsquo;s professional services include:</b></p><ul><li>
Licensing and migration services for businesses wanting to implement Google Workspace.</li><li>
Data, AI, and Infrastructure solutions powered by Google Cloud.</li><li>
Consulting, training, and various professional services surrounding Google Cloud&rsquo;s products.</li></ul><h3 class="jobSectionHeader"><b>
About the Role</b></h3><p>
As a <b>Google Cloud Customer Engineer, Data &amp; Analytics</b> at Premier Cloud, you'll be the primary technical expert in client-facing roles, focusing on scoping, designing, and delivering data solutions on Google Cloud Platform (GCP). You will partner directly with sales as a technical subject matter expert to differentiate Google Cloud to prospective customers through technical sales partnerships.</p><p>
Your goal is to turn complex challenges into scalable, high-performance data architectures that enable insights, decision-making, and innovation. You'll run technical discovery, architect client data solutions, build MVPs and POCs, demonstrate core GCP products, lead executive whiteboard sessions, and serve as a vital feedback loop between the field and Google Cloud product engineering teams.</p><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><h4 class="jobSectionHeader"><b>
Technical Sales Partnership &amp; Discovery</b></h4><ul><li><b>
Partner with Sales:</b> Act as the technical subject matter expert alongside sales teams to differentiate Google Cloud and win prospective clients.</li><li><b>
Architectural Discovery:</b> Lead complex technical discovery and needs analysis to uncover customer architecture and identify underlying business and technical requirements.</li><li><b>
Solution Architecture:</b> Design scalable, cost-efficient, and high-performance data architectures directly aligned with client business goals and digital transformation strategies.</li></ul><h4 class="jobSectionHeader"><b>
POCs, Prototyping &amp; Technical Demonstrations</b></h4><ul><li><b>
Build MVPs &amp; POCs:</b> Drive proof-of-concepts (POCs), prototyping, and build Minimum Viable Products (MVPs) directly in customers' environments to prove technical viability.</li><li><b>
Product Demonstrations:</b> Showcase core GCP data products&mdash;including BigQuery, Dataflow, Dataproc, and Looker&mdash;through engaging, practical, and interactive demonstrations.</li><li><b>
Pipeline &amp; Data Engineering:</b> Develop, build, and deploy critical ETL/ELT pipelines, data warehouses, and data lakes to ingest, transform, and load data securely across its lifecycle.</li></ul><h4 class="jobSectionHeader"><b>
Executive Presentation &amp; Presales Strategy</b></h4><ul><li><b>
Executive Presence:</b> Deliver high-impact product messaging through live presentations, interactive whiteboard sessions, and executive-level briefings to both technical and non-technical stakeholders.</li><li><b>
Bid Responses:</b> Lead technical contributions for RFPs, RFIs, and detailed bid responses to secure technical wins.</li><li><b>
Client Consulting:</b> Conduct client readiness assessments and provide expert guidance throughout project lifecycles.</li></ul><h4 class="jobSectionHeader"><b>
Product Engineering Liaison</b></h4><ul><li><b>
Field Insights &amp; Roadmap Influence:</b> Act as a liaison between clients and Google Cloud product engineering teams, relaying field insights and customer feedback to help influence the future GCP product roadmap.</li><li><b>
Best Practices:</b> Contribute to internal best practices, knowledge sharing, and the creation of reusable solution templates for pre-sales engagements.</li></ul><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><h4 class="jobSectionHeader"><b>
Minimum Qualifications</b></h4><ul><li>
Proven experience in designing, building, and deploying data solutions on Google Cloud Platform (GCP).</li><li>
Hands-on expertise with core GCP data services, including <b>BigQuery</b> and <b>Dataflow</b>.</li><li>
Experience partnering with sales teams in a pre-sales, technical consulting, or Customer Engineering capacity.</li><li>
Demonstrated ability to build POCs, MVPs, and conduct live product demonstrations in client environments.</li><li>
Strong expertise in SQL, data warehouse design, and data pipeline development.</li><li>
Excellent communication and presentation skills, with experience leading executive whiteboard sessions and delivering bid/RFP responses.</li></ul><h4 class="jobSectionHeader"><b>
Preferred Qualifications</b></h4><ul><li>
3+ years of experience in a Data Engineering or pre-sales Customer Engineering role.</li><li>
Experience with Looker or other modern data visualization platforms.</li><li>
Knowledge of AI/ML technologies and their practical integration into cloud data solutions.</li><li>
Active <b>GCP Professional Data Engineer</b> or <b>GCP Professional Cloud Architect</b> certifications.</li></ul><h3 class="jobSectionHeader"><b>
Why Premier Cloud? Your Impact and Growth</b></h3><ul><li><b>
Direct Impact:</b> Drive technical wins and shape scalable data architectures that transform how client organizations operate and innovate.</li><li><b>
Elite Collaboration:</b> Work directly alongside Google Cloud teams on strategic analytics initiatives, placing you at the forefront of cloud technology.</li><li><b>
Product Influence:</b> Directly bridge the gap between real-world customer needs and Google Cloud's product roadmap.</li><li><b>
Career Investment:</b> Enjoy ongoing training, certification sponsorships, and opportunities to lead cutting-edge data projects.</li><li><b>
Culture of Trust:</b> Thrive in a workplace certified 6 consecutive years as a <i>Great Place to Work</i>, supported by flexible remote options and premium equipment.</li></ul><h3 class="jobSectionHeader"><b>
Benefits</b></h3><ul><li><b>
Competitive Compensation:</b> A package reflecting your technical expertise and sales-enabling impact.</li><li><b>
Growth &amp; Development:</b> Dedicated budget and time for continuous Google Cloud certifications and training.</li><li><b>
Collaboration with Google:</b> High visibility and direct partnership with Google sales and engineering teams.</li><li><b>
Comprehensive Benefits:</b> Full health coverage, paid time off, and relocation assistance (where applicable).</li><li><b>
Work Environment:</b> Flexible remote work with top-tier equipment and an autonomous, trust-driven team culture.</li></ul></div>

Customer Engineer, Data & Analytics Req#112

VTG Defense

<div>Overview:
<div>
VTG is looking for a<b> Data Engineer in Chantilly, VA</b></div><br>
<div></div>
Responsibilities:
<div>
Seeking a Cloud Data Engineer to design, develop, and optimize scalable cloud-based data platforms that support analytics, AI/ML, and business intelligence initiatives. This role focuses on cloud architecture, data engineering, pipeline development, and modernization efforts while collaborating with cross-functional teams to deliver secure, high-performance data solutions in a mission-driven environment.</div>
Qualifications:
<div><b>Required Skills and Qualifications:</b></div><ul><li>
3+ years of experience designing cloud-native data platforms in AWS</li><li>
2+ years of experience designing scalable data lake, warehouse, and analytics solutions</li><li>
2+ years of experience with cloud migration and modernization efforts</li><li>
2+ years of experience with the data pipelines, including data acquisition, data prep, and database architecture</li><li>
Experience with data engineering projects supporting data science, AI/ML implementations, and Business Intelligence dashboards</li><li>
Experience with non-relational and semi-relational databases</li><li>
Experience creating software for retrieving, parsing, and processing structured and unstructured data</li><li>
Experience with team lead functions, creating solutions within a collaborative and cross-functional team environment</li><li>
TS/SCI clearance with a polygraph</li><li>
Bachelor's degree in CS</li></ul><div><b>
</b></div><div><b>
Preferred Skills and Qualifications:</b></div><ul><li>
Experience with Pyspark and Spark ecosystems such as Databricks and EMR</li><li>
Experience evaluating data analytic or science technologies and platforms</li><li>
Experience going through an A&amp;A process or leading modifications</li><li>
Experience with Cloud Architecture and evaluating and selecting cloud analytics architectures</li><li>
Experience with Data Marts and Data Warehouses and creating, managing, and troubleshooting complex operational data flows</li><li>
Experience with Source code management and integration such as GitHub</li><li>
Experience with designing, developing, deploying, or testing in Amazon Web Services (AWS)</li><li>
Experience with scripting languages such as Python and SQL</li><li>
Experience with APIs development</li><li>
AWS architecture Certifications such as Solution Architect Certification</li></ul></div><p></p>

Data Engineer

Alchemy

<p><b>Role: Data Engineer - GCP</b></p><p><b>Job Summary</b></p><ul><li>We are seeking a highly skilled Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern data architecture. The ideal candidate will have hands-on experience designing scalable data pipelines, implementing Medallion Architecture, and building robust enterprise-grade data solutions.</li><li>This role requires strong technical proficiency in BigQuery, PySpark, Dataflow, and Airflow, along with a solid understanding of cloud data governance, performance optimization, and CI/CD practices.</li></ul><p><b>Key Responsibilities</b></p><ul><li>Design, develop, and maintain scalable batch and real-time data pipelines on GCP</li><li>Implement and manage Medallion Architecture (Bronze, Silver, Gold layers) for data processing</li><li>Build high-performance data transformations using Python and PySpark</li><li>Develop and optimize complex SQL queries for analytical workloads</li><li>Work extensively with BigQuery for large-scale data processing and performance tuning</li><li>Develop and deploy pipelines using Cloud Dataflow</li><li>Orchestrate workflows using Cloud Composer (Apache Airflow)</li><li>Manage data storage and lifecycle using Google Cloud Storage (GCS)</li><li>Implement version control and CI/CD pipelines using Git-based tools</li><li>Ensure data security, governance, and access control using GCP IAM</li><li>Optimize data solutions for performance, scalability, reliability, and cost-efficiency</li></ul><p><b>Required Skills &amp; Experience</b></p><ul><li>Strong hands-on experience with <b>Google Cloud Platform (GCP)</b></li><li>Expertise in <b>BigQuery (partitioning, clustering, query optimization)</b></li><li>Proven experience implementing <b>Medallion Data Architecture</b></li><li>Hands- on Experience with <b>Java Development </b></li><li>Strong programming skills in Python and PySpark</li><li>Advanced proficiency in SQL (complex joins, window functions, performance tuning)</li><li>Hands-on experience with <b>Cloud Dataflow</b></li><li>Experience with <b>Cloud Composer (Airflow) for orchestration</b></li><li>Experience working with <b>Google Cloud Storage (GCS)</b></li><li>Knowledge of version control systems (Git) and CI/CD practices</li><li>Strong understanding of GCP IAM and cloud security best practices</li></ul><p>Experience:</p><ul><li>Google Cloud Platform (GCP): 6 years (Required)</li><li>Medallion Architecture: 6 years (Required)</li><li>Apache Beam /  Java Development : 5 years (Required)</li></ul><p>Work Location: Remote</p>

GCP Data Engineer/Architect

THEMESOFT

<div>Hello,<br>
<p></p>
<p></p>I hope you are having a great day.<br>
<p></p>
<p></p>My name is Manikandan Ravi, working as a Account Manager with <b>Themesoft</b>, a consulting company<br>
<p></p>
<p></p>We have a job requirement with a leading company which may interest you.<br>
<p></p>
<p></p>I have shared the requirement details below for you.<br>
<p></p>
<p></p>It would be great If I get a chance to connect with you and share more information about the job.<br>
<p></p>
<p></p>If interested, please let me know a good time and number to reach out to you and I will be glad to explain more on this job.<br>
<p></p>
<p></p>Data Engineer<p></p>
LOCATION - (Preferred) CHANDLER, CHARLOTTE, MINNESOTA, LAS COLINAS<p></p>
Contract<p></p>
Hybrid<p></p>
229597-1<p></p>
12+ Months<br>
<p></p>
<p></p><b>Job Description:</b><p></p>
<ul>Implement and operationalize modern AI-enabled data capabilities on Google Cloud to ingest, transform, and distribute data for a variety of big data apps Leverage AI/Agentic frameworks to automate data management, governance, and data consumption capabilities - data pipelines, data quality, metadata, data compliance, etc. Demonstrable skills (recent) using AI tools such as LangChain, LangGraph/ADK, agentic frameworks, RAG, GraphRAG, and using MCP to build agent-based data capabilities 5 plus years of experience in data engineering including hands-on experience working with Cloud data solutions: creating/supporting Spark based ingestion and processing 3 plus years of experience with Data lakehouse architecture and design, including hands-on experience with Python, pySpark, Kafka, Airflow, Google Cloud Storage, BigQuery, Data Proc, Cloud Composer Hands-on experience developing data flows using Kafka, Flink, and Spark streaming
</ul><b>Must Have:</b><p></p>
<ul>GCP - 5 to 6 years. AI exposure - 6 months to a year Demonstrable skills (recent) using AI tools such as LangChain, LangGraph/ADK, agentic frameworks, RAG, GraphRAG, and using MCP to build agent-based data capabilities 5 plus years of experience in data engineering including hands-on experience working with Cloud data solutions: creating/supporting Spark based ingestion and processing 3 plus years of experience with Data Lakehouse architecture and design, including hands-on experience with Python, pySpark, Kafka, Airflow, Google Cloud Storage, Big Query, Data Proc, Cloud Composer Hands-on experience developing data flows using Kafka, Flink, and Spark streaming
</ul><b>In this role candidates will:</b><p></p>
<ul>Implement and operationalize modern AI-enabled data capabilities on Google Cloud to ingest, transform, and distribute data for a variety of big data apps Leverage AI/Agentic frameworks to automate data management, governance, and data consumption capabilities - data pipelines, data quality, metadata, data compliance, etc. Work within a matrix org. with principal engineers, product managers, and data engineers to roadmap, plan, and deliver key data capabilities based on priority</ul><br>
<p></p><b>Thank you for taking the time to read this email.</b></div><p></p>

Immersion Consulting, LLC

<div>Description:
<p>
The Senior Data Engineer is responsible for designing, implementing, maintaining, and optimizing a cloud-based data architecture and data pipeline ecosystem. The position supports advanced analytics, machine learning operations, fraud detection initiatives, and investigative activities by delivering scalable, secure, and sustainable Azure-based data solutions. The Senior Data Engineer develops and maintains modern ELT/ETL pipelines, data models, source-controlled environments, and operational standards that enable efficient data ingestion, processing, storage, and access.</p><ul><li>
Design, implement, and maintain scalable Azure-based data architecture supporting audits, investigations, and fraud analytics.</li><li>
Develop, optimize, and sustain ELT/ETL pipelines within Azure Synapse Analytics and Azure Machine Learning environments.</li><li>
Migrate and integrate large-scale datasets into Azure Data Lake Storage (ADLS).</li><li>
Establish source control, version management, and development standards across data engineering assets.</li><li>
Implement pipeline monitoring, validation, logging, and error-handling frameworks.</li><li>
Design and maintain data models, data dictionaries, entity relationship diagrams, and architectural documentation</li><li>
Optimize ingestion, transformation, storage, and retrieval performance across diverse data sources and formats.</li><li>
Develop self-service data access capabilities for analysts and investigators.</li><li>
Collaborate with Data Scientists to ensure infrastructure effectively supports machine learning and AI initiatives.</li><li>
Author and maintain Standard Operating Procedures (SOPs) governing data pipeline development, deployment, and monitoring.</li><li>
Evaluate emerging AI-enabled engineering tools and LLM-assisted automation capabilities.</li><li>
Recommend and implement architectural improvements that increase efficiency, reliability, security, and cost effectiveness.</li></ul>
Requirements:
<ul><li>Bachelor's degree in Data Engineering, Computer Science, Data Science, Machine Learning, Mathematics, or related discipline; <b>or </b>5 years of relevant applied experience.</li><li>
Five or more years of experience maintaining SQL database environments and performing advanced SQL/T-SQL operations.</li><li>
Five or more years of experience designing and maintaining cloud-based ELT/ETL solutions.</li><li>
Three or more years of experience working with Azure Synapse Analytics and Azure Machine Learning.</li><li>
Three or more years of experience developing data solutions using Python and Pandas.</li><li>
Experience supporting modern data platforms and cloud-native analytics architectures.</li><li>
Demonstrated expertise in data architecture design, pipeline optimization, and operational support.</li></ul></div>

Senior Data Engineer

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