data software engineer

Career Edge

<div><div><p>Career EDGE is a fully integrated career readiness and case management software system supporting workforce and education entities. Our goal is to achieve sustained employment for career seekers, employers, and the communities we serve.</p></div><p><b>
It's not just about the tech; it's about the people. </b>At Career TEAM, we work to accelerate the human condition. Through our Career EDGE platform, we build enterprise software that changes lives across the United States&mdash;and that's just the beginning.</p>
<p>
As a <b>Data Conversion Software Engineer</b>, you'll help design, build, and maintain systems that transform and integrate data across platforms supporting government-funded workforce development programs nationwide. You'll work with modern web technologies in a collaborative, Agile environment and contribute to software that has real-world social impact.</p>
<p><b>
Specifically, What You Will Do</b></p>
<p>
You will build and support robust data ingestion and conversion solutions using MongoDB, Node.js, Nest.js, and Next.js. On any given day, you'll be designing, building, and maintaining pipelines that transform structured, semi-structured, and unstructured data&mdash;such as documents, PDFs, images, and flat files&mdash;into normalized, usable data models. Your work will include developing applications and RESTful services that power data ingestion, validation, and transformation, as well as implementing OCR and document-processing solutions to extract text and metadata from document-heavy datasets. You'll collaborate closely with engineers, analysts, and product partners to define conversion logic, troubleshoot data quality issues, and continuously improve accuracy, performance, scalability, security, and maintainability. As part of an Agile team, you'll participate in regular Scrum ceremonies and have meaningful opportunities to innovate and make a real impact on the software we build.</p>
<p><b>
Ideal Candidate Qualifications</b></p>
<ul>
<li>Bachelor's degree in Computer Science, IT, Engineering, or equivalent practical experience</li>
<li>Proficiency with JavaScript or TypeScript and backend development using Node.js</li>
<li>Experience building APIs and services using modern frameworks (e.g., Nest.js, Express)</li>
<li>Experience transforming and ingesting data into MongoDB or other NoSQL databases</li>
<li>Experience working with document-heavy and unstructured data, including OCR or image-based text extraction</li>
<li>Familiarity with frontend frameworks such as React, Next.js, or Angular</li>
<li>Experience designing data ingestion or ETL-style pipelines</li>
<li>Understanding of RESTful services and data formats such as JSON and XML</li>
<li>Familiarity with Docker, CI/CD pipelines, and cloud-based environments</li>
<li>Strong analytical, problem-solving, and collaborative communication skills</li>
</ul>
<p>Salary: $60K - $100K</p><div><p><b><br>
About Career TEAM:</b><br>
Founded in 1996, CareerTEAM, LLC is a private workforce development organization.</p>
<p>
Career TEAM's outstanding record of <b><i>accelerating the human condition </i></b>has resulted in numerous honors:</p>
<ul>
<li>Named by Inc. Magazine as one of America's 500 fastest growing privately held companies</li>
<li>Recipient of the US Chamber of Commerce Blue Chip Enterprise Award for innovation</li>
<li>Featured by 60 Minutes, CNN, Money Magazine, Inc. Magazine and the British Broadcasting Network as an innovative, government funded solutions program</li>
<li>Invited to the White House after being cited by the National Welfare-to-Work Partnership and National Alliance of Business as a top 10 US training provider</li>
</ul>
<p>As a socially conscious organization, Career TEAM has found a healthy balance between for-profit innovation and community enrichment. Looking ahead, the organization will continue to close the nation's opportunity divide with additional government-funded workforce sites; while also building staff capacity of workforce funding sources and industry providers. See <b>www.careerteam.com </b>for more information.</p>
<p><b>
Career Team is an Equal Opportunity Employer.</b> All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.</p>
<p><b>
Background Check Requirements. </b>Employment is contingent upon successful completion of a background check (including criminal, prior employment and education verification). Failure to satisfactorily complete the background check may affect the application status of applicants or continued employment of current employees who apply for the position.</p>
<p><b>
California Consumer Privacy Act (&quot;CCPA&quot;). </b>Career Team is committed to complying with the CCPA and all data privacy and laws in the jurisdictions in which it recruits and hires employees. Career Team collects and uses Personal Information for human resources, employment, benefits administration, health and safety, and business-related purposes and to be in legal compliance. Below are the categories of Personal Information we collect and the purposes for which we intend to use this information:</p>
<p><b>
Identifying information</b>, such as your full name, gender, date of birth, and signature; <b>Demographic data</b>, such as race, ethnic origin, marital status, disability, and veteran or military status; <b>Contact information</b>, such as your home address, telephone numbers, email addresses, and emergency contact information; <b>Dependent's or other individual's information</b>, such as their full name, address, date of birth, and Social Security numbers (SSN); <b>National identifiers</b>, such as SSN, passport and visa information, and immigration status and documentation; <b>Educational and professional background</b>, such as your work history, academic and professional qualifications, educational records, references, and interview notes; <b>Employment details</b>, such as your job title, position, hire dates, compensation, performance and disciplinary records, and vacation and sick leave records; <b>Financial information</b>, such as banking details, tax information, payroll information, and withholdings; <b>Health and Safety information</b>, such as health conditions (if relevant to your employment), job restrictions, workplace illness and injury information, and health insurance policy information; <b>Information Systems (IS) information</b>, such as your search history, browsing history, login information, and IP addresses on the Company's information systems and networks; <b>Biometric information</b>, such as facial recognition, fingerprints, iris or retina scans, keystroke, or other physical patterns; and <b>Geolocation data</b>, such as time and physical location related to use of an internet website, application, device, or physical access to a Company office location.</p>
<p>
The Company collects Personal Information to use or disclose as appropriate to:</p>
<p>
(1) Comply with all applicable laws and regulations; (2) Recruit and evaluate job applicants and candidates for employment; (3) Conduct background checks; (4) Manage your employment relationship with us, including for: (a) onboarding processes; (b) timekeeping, payroll, and expense report administration; (c) employee benefits administration; (d) employee training and development requirements; (d) the creation, maintenance, and security of your online employee accounts; (e) reaching your emergency contacts when needed, such as when you are not reachable or are injured or ill; (f) workers' compensation claims management; (g) employee job performance, including goals and performance reviews, promotions, discipline, and termination; and (h) other human resources purposes; (5) Manage and monitor employee access to company facilities, equipment, and systems; (6) Conduct internal audits and workplace investigations; (7) Investigate and enforce compliance with and potential breaches of Company policies and procedures; (8) Engage in corporate transactions requiring review of employee records, such as for evaluating potential mergers and acquisitions of the Company; (9) Maintain commercial insurance policies and coverages, including for workers' compensation and other liability insurance; (10) Perform workforce analytics, data analytics, and benchmarking; (11) Administer and maintain the Company's operations, including for safety purposes; (12) For client marketing purposes; (13) Exercise or defend the legal rights of the Company and its employees, and affiliates, customers, contractors, and agents; and (14) to comply with requirements of government grants, including, but not limited to, program and audit requirements.</p></div></div>

Data Conversion Software Engineer

Stellantis

<p></p><div><div>Job ID: 2013868<br>
Career Area: Engineering<br>
Job Category: Salaried
</div><div>Location: Headquarters &amp; Technology Center &ndash; Auburn Hills<br>
48326, US<br>
Date Posted: February 23, 2026<br>
Brand: FCA Group</div></div>
<br><div><div>Build your brand. Tell your story. Take advantage of a rare opportunity to do something great!</div><br>
<div></div>
<div>
We are looking for technology game changers to help Stellantis lead a transformation within the automotive industry. Technology has the potential to disrupt the automotive industry significantly in the next decade, and our organization is seeking high potential candidates to digitally transform the company with a focus on customer experience.</div><br>
<div></div>
<div>
Remote Vehicle Management within the Connected Services organization was established to build the most captivating customer experiences on the latest frontier of Automotive Technology. Connectivity brings the customer and car closer together than ever before, allowing Stellantis to build unique experiences that enhance our products, our brands, and our customers&rsquo; lives.</div><br>
<div></div>
<div>
The REVM connectivity team builds new connected car applications used by Stellantis customers, covering a myriad of technologies and systems and ranges from in-vehicle to off board systems. As an organization, our primary focus is off-board systems and their interaction and integration with in-vehicle systems. The off-board systems are complex and cover cloud platforms, user channels, back office systems, contact centers and integration with third party systems. All of these systems must have robust solutions to support high availability and fast response of services expected by our customers. In addition, the connectivity systems developed by Stellantis are global (build once, deploy globally) with regional adaptations.</div><br>
<div></div>
<div>
If you are looking for a challenging, fast paced, dynamic work environment, consider joining the SWX Connectivity team area. The responsibilities of the Connected Vehicle Software Developer include but are not limited to the following:</div><br>
<div></div>
<ul>
<li>Develop cloud based connected vehicle services and features</li>
</ul><ul><li>Design, code, test and own embedded software that deal with real time event based data as well as large amount of streaming data</li>
</ul><ul><li>Solve complex technical problems using industry best practices while being compliant to enterprise security policies</li>
</ul><ul><li>Use agile methodologies and Test Driven Development (TDD) to realize the technical solution</li>
</ul><ul><li>Collaborate with product owners and business analysts to identify minimal viable product and support user stories definition</li>
</ul><ul><li>Debug performance and software issues in embedded systems</li>
</ul><ul><li>Develop automation, monitoring, and debugging tools</li>
</ul><ul><li>Drive continuous improvement through code reviews, monitoring and defect analysis</li>
</ul><ul><li>Work closely with Senior Developers to set the technical direction and guide the Jr. Developers.</li>
</ul>
<p><b>What to expect:</b></p>
<ul><li>An opportunity to develop software that directly benefits the lives of millions of Stellantis customers</li>
</ul><ul><li>Exposure to all pillars of the connected vehicle organization (commercial, marketing, hardware, software, suppliers, etc.)</li>
</ul><ul><li>Knowledgeable technical leaders that set clear vision and strategy for the team and organization</li>
</ul><ul><li>Experiences that build company acumen and provide professional networking</li>
</ul><ul><li>Opportunities for career advancement across technical and non-technical career tracks</li></ul></div>
<br><div><p><b>EOE/Disability/Veteran</b></p>
<p>At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.</p>
<p>Our benefits reflects the STELLANTIS commitment to helping you reach your personal and professional goals. In addition to an environment that promotes career development, we offer benefits for a healthy lifestyle and a rewarding future, designed to take care of you and your family, in various stages of life.</p>
<p>
As a global company, our employee packages will vary by country, customary norms and the legal entity into which you are hired.</p>
<p>
We care about your privacy. For more information on how your personal data is processed, please read the specific Privacy Statement provided by the respective entities whose job offer you have selected.</p></div><p></p>

All Data Application Software Engineer

Lenovo

<div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div><b>Req # </b></div><div>WD00095802
</div></div><div><div><b>Career Area: </b></div><div>Hardware Engineering
</div></div><div><div><b>Country/Region: </b></div><div>United States of America
</div></div><div><div><b>State: </b></div><div>North Carolina
</div></div><div><div><b>City: </b></div><div>Morrisville
</div></div><div><div><b>Date: </b></div><div>Monday, March 2, 2026
</div></div><div><div><b>Working Time: </b></div><div>Full-time
</div></div><div><div><b>Additional Locations</b>:
<ul><li>United States of America - North Carolina - Morrisville
</li></ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Why Work at Lenovo
</b></h3></div></div><div><div><div><div><div><div>We are Lenovo. We do what we say. We own what we do. We WOW our customers.</div><div></div><div><br>
Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).</div></div><br>
<div></div><br>
<div>This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit <b>www.lenovo.com</b>, and read about the latest news via our <b>StoryHub</b>.</div>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description and Requirements
</b></h3></div></div><div><div><div><div><p>The Quality Data Engineer Intern will support quality improvement initiatives by leveraging data analytics, quality engineering principles, and cross‑functional collaboration. This role partners closely with Quality, Product, Supplier Quality, and Operations teams to analyze field and manufacturing data, support the Quality Management System (QMS), and drive continuous product and process improvement. This internship offers hands‑on exposure to hardware quality, operational excellence, and data‑driven decision making.</p><p></p><p><b>
Key Responsibilities</b></p><ul>
<li>Support continuous improvement initiatives by helping maintain and enhance an effective Quality Management System (QMS)</li>
<li>Apply Operational Excellence and Lean/Six Sigma methodologies to improve processes and reduce field defects</li>
<li>Collect, analyze, and report quality KPI metrics to support data‑driven product and process improvements</li>
<li>Perform quality data analysis to identify trends, risks, and opportunities for improvement</li>
<li>Act as a customer advocate by supporting Product Ship activities and participating in daily quality roll‑up discussions</li>
<li>Collaborate with Supplier Quality Engineers on commodity quality topics and supplier failure analysis (FA) activities</li>
<li>Verify accuracy, structure, and categorization of storage and commodity data within analytics and reporting tools</li>
<li>Support Product Engineering teams by providing field quality and reliability data insights</li>
<li>Assist with technical quality assurance activities and quality reviews during product design and development phases</li>
<li>Coordinate and support Lessons Learned (FuPan) reviews and documentation</li>
<li>Work effectively with virtual, cross‑functional teams and communicate findings to engineering and management stakeholders</li>
</ul><p></p><p><b>Required Qualifications</b></p><ul>
<li>Currently pursuing or recently completed a Bachelor&rsquo;s degree Industrial Engineering, Quality Engineering, Business Operations, Project Management ro a related technical field</li>
<li>Exposure to or interest in Quality Engineering within manufacturing, service, or hardware development environments</li>
<li>Familiarity with server and storage hardware concepts (academic or internship experience acceptable)</li>
<li>Strong analytical and problem‑solving skills</li>
<li>Ability to interpret data and communicate insights clearly</li>
<li>Comfortable working in a team‑based, fast‑paced environment</li>
</ul><br>
</div></div><div><div><div><i>We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.</i></div>
</div></div></div></div></div><div></div><div><div><div><div><div><b>Additional Locations</b>:
<ul><li>United States of America - North Carolina - Morrisville</li></ul></div></div></div></div></div></div>

Quality Data Engineer - Summer 2026

CACI International

<div><div><div><div><div><div><div>Job Description
 </div><div></div><p>Company and Benefits</p>
</div></div></div><div><div><div><div><div>Job ID</div>
<div>318107</div>
</div></div><div><div>Job Title: Software Engineer with Data Management Experience
<p></p>Job Category: Engineering
<p></p>Time Type: Full time
<p></p>Minimum Clearance Required to Start: TS/SCI with Polygraph
<p></p>Employee Type: Regular
<p></p>Percentage of Travel Required: None
<p></p>Type of Travel: None
<p></p>* * *
<p></p><p><b>The Opportunity:</b><b>
</b></p><p>CACI is seeking a Software Engineer with Data Management Experience to be at the forefront of transforming system security evaluation! You will play a crucial role in developing cutting-edge capabilities that automate and streamline security processes, implement continuous monitoring and assessment, and enhance network data gathering across project lifecycles. Join our innovative team and help shape the future of data management and system security!</p>
<p></p><p><b>Responsibilities:</b></p>
<ul><li><p>Develop, maintain, and execute Pig and/or PySpark analytics</p>
</li><li><p>Review and approve data ingest tickets and merge requests</p>
</li><li><p>Ensure reliable and accurate data delivery to end users</p>
</li><li><p>Manage day-to-day operations and troubleshoot data accuracy issues</p>
</li><li><p>Contribute to the shift from manual to automated security evaluation processes</p>
</li></ul><p></p><p><b>Qualifications:</b></p>
<p><i>Required:</i></p>
<ul><li><p>Active TS/SCI clearance with Polygraph</p>
</li><li><p>10+ years of experience as a Software Engineer on similar scope and complexity projects</p>
</li><li><p>Bachelor's degree in Computer Science or related field (or 4 additional years of relevant SWE experience)</p>
</li><li><p>Strong background in analytics development</p>
</li><li><p>Proficiency in Pig and PySpark</p>
</li></ul><p></p><p><b><i>Desired:</i></b></p>
<ul><li><p>Experience with patch management and IAVA tracking</p>
</li><li><p>Programming skills in Python, Java, or Scala</p>
</li><li><p>Familiarity with NiFi and Ansible</p>
</li><li><p>Experience working in Agile environments</p>
</li></ul><p></p>This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI.
<p></p><p><b>What You Can Expect:</b></p>
 <p><b>A culture of integrity.</b></p>
<p>At CACI, we place character and innovation at the center of everything we do. As a valued team member, you&rsquo;ll be part of a high-performing group dedicated to our customer&rsquo;s missions and driven by a higher purpose &ndash; to ensure the safety of our nation.</p>
<p><b>An environment of trust.</b></p>
<p>CACI values the unique contributions that every employee brings to our company and our customers - every day. You&rsquo;ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.</p>
<p><b>A focus on continuous growth.</b></p>
<p>Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground &mdash; in your career and in our legacy.</p><br>
<p></p><br>
<p><b>Pay Range</b>:</p>
<p>There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.</p>
<p></p><p>The proposed salary range for this position is:</p>
$131,800 - $290,000
<p></p><div><i>CACI is </i><i>an Equal Opportunity Employer.</i><i> All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any </i><i>other protected characteristic.</i>
</div></div></div></div><div><div>Insights from previous hires</div>
<div><div><div>Top skills</div>
<div><div>NET Software Development</div></div></div></div></div></div></div></div></div>

Software Engineer with Data Management Experience

BV Teck

<div>Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations.<br>
<br>
We leverage cutting-edge big data technologies to design scalable, reliable, and high-performance data platforms. As we continue to grow, we&rsquo;re looking for a skilled <b>Big Data Developer / Engineer</b> to join our dynamic team and contribute to our mission of transforming business processes through technology.<br>
<br>
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.<br>
<br>
We are looking for <b>OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people</b> who are looking for an <b>H1B sponsorship for the year 2027 quota</b>.<br>
<br>
<b>Company:</b> Bright Vision Technologies ( www.bvteck.com )<br>
<b>Job Title:</b> Big Data Developer / Engineer<br>
<b>Job Location:</b> Bridgewater, New Jersey - 08807<br>
<b>Onsite/Hybrid:</b> Remote<br>
<b>FULL-TIME ROLE WITH BRIGHT VISION</b><br>
<br>
<b>Job Description:</b><br>
<b>Environment:</b><br>
Apache Hadoop, Spark, PySpark, Scala, Kafka, HDFS, Hive, HBase, Airflow, Data Warehousing, ETL pipelines, SQL, NoSQL databases, Cloud Platforms (AWS / Azure / GCP), Big Data services (EMR, Dataproc), Docker, Linux, CI/CD pipelines, Git, Agile methodologies<br>
<br>
<b>BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.</b><br>
For every role, a <b>coding test is required</b>, so apply only if you are <b>confident and technically strong</b>.<br>
<br>
We prefer <b>at least 3 to 5 years real time experience</b>.<br>
<br>
If you are a <b>Big Data Developer / Engineer</b> with the above skills and are looking for an <b>H1B sponsorship</b> this year, please send your resume immediately to <b>venkat.r</b><b>@bvteck.com</b>.<br>
<br>
we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know.<br>
<b>Position offered by &ldquo;No Fee agency.&rdquo;</b><p>
Equal Employment Opportunity (EEO) Statement</p>
<p>Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.</p>
<p>BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.</p><p>
</p><p>032tIsxa1F</p></div>

Big Data Developer / Engineer

<div><p>Company Profile: - At CGI, we&rsquo;re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we&rsquo;re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com.<br>
<br>
This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please.<br>
<br>
Job Title: Data Scientist<br>
Position: Software Engineer (SE) / Senior Software Engineer (SSE)<br>
Experience: 3 years to 10 Years<br>
Category: zINACTIVE - Information Technology<br>
Main location: Bangalore<br>
Position ID: J0226-1188<br>
Employment Type: Full Time</p><p><b>
Your future duties and responsibilities</b></p><p>
Key responsibilities<br>
. Analyse business requirements written by airline customers and Amadeus Product Managers<br>
. Conduct the functional analysis, propose viable solutions.<br>
. Perform feasibility studies.<br>
. Participate to requirement refinement sessions with airline customers<br>
<br>
Design of functional specifications<br>
<br>
. Write documentation for product specifications or functional studies.<br>
. Collaborate closely with the team members with an agile mindset, make sure development activities are in lines with the specifications. Prepare adhoc documentation whenever needed by developers to make sure development can be fully aligned with expected functionality<br>
<br>
Functional test and maintenance of the software<br>
<br>
. Participate in the validation phase of the product cycle, fine-tuning when necessary to finalize the product.<br>
. Understand the applied mathematics &amp; algorithms behind the models to support the customers &amp; professional services to tune the optimization strategy.<br>
. Write Test plan and execute test cases.<br>
. Review and validate airlines' brush test to make sure expected behaviour is in line with functional solution developed<br>
. Utilize Business Intelligence tools, such as Tableau, Power BI, and Qlik, to create meaningful reports and dashboards.<br>
. Proficient in writing SQL queries to explore, extract, manipulate, and analyze data from databases.<br>
. End to end testing, support to airlines<br>
. Support end users during acceptance phases. Support the customer by debugging existing solutions in collaboration with Product Manager or Product Definition Analyst.<br>
. Support Amadeus Implementation teams to implement related products for airline customers<br>
. Test and maintenance of the software. Ensure production integrity.<br>
. Work closely with cross-functional teams to understand their data needs and provide data-driven recommendations to support their goals.<br>
. Conduct ad hoc analysis as requested by the business to address specific questions or concerns.<br>
. Implement data quality checks and processes to ensure data accuracy, integrity, and consistency.<br>
. Create new data validation methods and data analysis tools.<br>
<br>
<br>
Skills<br>
<br>
. Functional analysis, analysis of the value<br>
. Functional Validation soft / hard<br>
. Functional specifications, detailed<br>
. Non-regression test<br>
. Python, Databricks Notebook &amp; SQL<br>
. Tableau/Power BI<br>
. SQL, MongoDB<br>
. Basic Maths skills to understand the models &amp; interest to go deeper<br>
<br>
<br>
About the ideal candidate:<br>
<br>
. University degree in Computer Science or related field, or equivalent work experience.<br>
. Proficient in English as the team is fully international.<br>
. Knowledge of programming languages (e.g., Python, R) is a bonus.<br>
. Experience delivering end-to-end analytics projects, transforming vague requirements into impactful stories accessible to diverse audiences, leading to clear business outcomes.<br>
. Excellent analytical and problem-solving skills with a keen attention to detail.<br>
. Ability to work with large and complex datasets<br>
. Excellent communication skills to effectively convey complex data findings.<br>
. Collaborative individual with a mindset suited for a multi-cultural, international organization and time management skills.<br>
. Experience in the software development lifecycle (including product design, coding, testing, version and configuration management, security, and Quality Assurance) relevant to the functional area.<br>
. Knowledge of Scrum framework and Agile methodologies.<br>
. Experience in data modelling is a plus.<br>
. Knowledge of Airline business or RMS domain is a plus<br>
. Interest towards Applied Mathematics like Statistics &amp; Mathematical models is a plus</p><p><b>
Required qualifications to be successful in this role</b></p><p>
Education Qualification: Bachelor's degree in computer science or related field or higher with minimum 3 years of relevant experience.</p><p><b>
Together, as owners, let&rsquo;s turn meaningful insights into action.</b><br>
<br>
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you&rsquo;ll reach your full potential because&hellip;<br>
<br>
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That&rsquo;s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company&rsquo;s strategy and direction.<br>
<br>
Your work creates value. You&rsquo;ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.<br>
<br>
You&rsquo;ll shape your career by joining a company built to grow and last. You&rsquo;ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
<br>
<br>
Come join our team&mdash;one of the largest IT and business consulting services firms in the world.</p></div>

Software Engineer - Data Scientist

Anblicks

<div><div><b>Role: Senior ML Engineer(Databricks MLOps)</b></div><div><b>
Location: Hyderabad</b></div><div><b>
Experince: 8+ Yrs</b></div><div></div><div><b>
Job Description Summary</b></div><div>
ML Engineer within the Data Science and Machine Learning team leverages and third-party software to create solutions to business problems defined by specific business requirements. In this position, you will draw upon technical, AI/ML engineering, Data and MLOps experience to solve complex marketing analytics problems on very large volumes of data.
</div><div>
</div><div>As a Machine Learning (ML) Engineer You will build and operationalize machine learning pipelines involving terabytes of data. You will have the responsibility to help define requirements, create software designs, implement code to these specifications, As an ML Engineer, you will be expected to:</div><div>
</div><div>
Develop and maintain a comprehensive enterprise architecture for AI/ML/GenAI initiatives, ensuring alignment with overall business strategy and technology roadmap.</div><div>
Architect hyperscale MLOps solutions and pipelines</div><div>
Work with Applied Scientists, Data Scientists, Product owners, ML Engineers, and Software Engineers to design and deliver ML solutions in production at scale.</div><div>
Develop automated AI and ML workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and design of our ML systems and data infrastructure.</div><div>
Leverage AI to develop GenAI powered solutions to complement our data science and product build capabilities</div><div>
Assess current state AI/ML/GenAI capabilities across various business domains, identify gaps, and design target state architectures to drive innovation, revenue growth and operational excellence.</div><div>
Lead transformational initiatives to bridge the gap between current and desired AI/ML capabilities, collaborating with cross-functional teams to ensure successful implementation.</div><div>
Establish governance frameworks and decision criteria for AI/ML and GenAI projects, ensuring adherence to industry standards, regulatory requirements, Responsible AI and architectural principles.</div><div>
Create and maintain reference architectures, patterns, and best practices for AI/ML lifecycle and integration within enterprise ecosystem.</div><div>
Lead the technology evaluation and process improvements to drive Experimentation, Model Development and ML Ops at scale</div><div>
Lead and drive standardization of LLM onboarding process, RAG pipelines and application development</div><div>
Conduct architecture reviews and risk assessments for proposed AI/ML solutions, ensuring they meet security, scalability, and interoperability requirements.</div><div>
Utilize advanced data science techniques (e.g., Natural Language Processing, clustering, predictive analytics, regression analyses, survival analysis, segmentation, and experimentation) to propose enhancements and innovations to business processes.</div><div>
Conduct sophisticated statistical analyses and maintain high reliability of machine learning pipelines in production environments, ensuring minimal downtime and optimal performance.</div><div>
Collaborate with business leaders and product to identify opportunities for AI/ML-driven innovation and guide the development of use cases that deliver tangible business value.</div><div>
Foster a culture of continuous learning and innovation in AI/ML practices across the enterprise architecture team and broader organization.</div><div>
</div><div><b>
BASIC QUALIFICATIONS</b></div><ul><li>8+ of years of experience in enterprise architecture, with a focus on AI/ML integration and transformation projects.
</li><li>6+ years professional experience in software development</li></ul><div>
Bachelor&rsquo;s Degree in Computer Science or Associate Degree &amp; 3+ years of development experience or equivalent experience
</div><ul><li>Computer Science fundamentals in object-oriented design</li><li>Computer Science fundamentals in data structures</li><li>Computer Science fundamentals in algorithm design, problem solving, and complexity analysis</li><li>Knowledge of, at least, one modern programming language such as Python, Java, C++, C, Java, Python or Perl</li></ul><div>
</div><div><b>
PREFERRED QUALIFICATIONS</b></div><div>
8+ years of experience architecting scalable ML infrastructure and big data systems.</div><div>
Databricks Architect Certification is required</div><div>
6+ years of architecting solutions using Databricks. Strong experience using Mosaic AI, Unity Catalogue, mlflow, workflow orchestration and other databricks native MLOps capabilities.</div><div>
At least 1+ year experience in GenAI (Technical familiarity with 2 or more) - OpenAI API, Bedrock API, Vertex API, LangGraph, other agentic frameworks</div><div>
High attention to detail and proven ability to manage multiple, competing priorities simultaneously.</div><div>
Experience MLOps and orchestration tools such as Airflow, Kubeflow, DAGster, Optuna, Mlflow or other similar MLOps tools.</div><div>
Experience with operationalizing and migrating ML models into production at scale.</div><div>
Developing Large scale model inference solutions using parallel execution framework using spark, EMR, databricks</div><div>
Experience developing complex orchestration and MLOps pipelines stitching together large volumes of data for training and scoring</div><div>
Experience with Large Language Models, fine tuning and deployment frameworks using HuggingFace capabilities or cloud provider solutions such as Amazon Bedrock, Vertex AI model garden etc.</div><div>
Familiarity with Vector databases such as Pinecone, ChromaDB or similar tools.</div><div>
Experience in CI/CD/DevOps, Deployment and Automation Tool &ndash; CI/CD, Jenkins, Terraform, Cloud Formation Template or similar</div><div>
Proficiency with Apache Spark, EMR/DataProc and Cloud based tools (Snowflake, Redshift, EMR, Glue, Step Functions, Lambda, Step functions, AWS Batch, or similar etc.).</div><div>
Experience with ML libraries like H20, scikit learn and deep learning frameworks (PyTorch, TensorFlow, etc.).</div><div>
Experience with end-to-end software development and life cycle of ML solutions.</div><div>
Excellence in technical communication with scientists and engineers.</div><div>
At least 2years Database (SQL) experience, Linux</div><div>
At least 6+ years of AWS infrastructure experience - Cloud run, App server, RDS, S3, EC2, EMR or equivalent GCP experience</div><div>
</div><div><b>
What will set you apart:</b></div><div>
Databricks Certification</div><div>
Langgraph, Databricks MLFlow experience, Docker experience, Kubernetes experience</div><div>
Knowledge of LLM observability platforms</div><div>
</div><div>
Good communication skills: communicate ideas clearly and effectively to other members of the analytics team and to the client at multiple levels (both technical and business)</div><div>
Analytic problem-solving skills with the ability to think outside-the-box</div><div>
Analytical thinker that excels at analyzing and understanding data to answer questions</div><div>
Excellent understanding of data concepts, data architecture, data manipulation/engineering, and data engineering design</div><div>
Passion for considering how projects fit into the wider business picture</div><div>
An understanding in multiple types of programming languages in order to be adaptable (statically typed vs. dynamically typed and object-oriented vs. procedural)</div><div>
Self-Starter &ndash; Able to work independently with little guidance</div><div>
Adaptable - Able to adapt to diverse technical challenges and systems</div><div>
Ability to formulate and present insights with gathered data to both technical and non-technical peers, leaders, and clients</div></div><div></div>

Senior ML Engineer (Databricks MLOps)

Search 10000+ Data software engineer jobs near you this March. New roles added regularly across leading industries. Apply today.