{"id":2116279,"url":"https://alion.io/job/aptiv-advanced-sw-engineer-data-engineering-mlops","title":"Advanced SW Engineer-Data Engineering -MLOPs","company":{"id":5724,"name":"Aptiv","domain":"aptiv.com","url":"https://alion.io/company/aptiv","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":27},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Grafana","optional":false},{"name":"Java","optional":false},{"name":"Kibana","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenSearch","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"QlikSense","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-28T00:00:00Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-12T22:35:05Z","board_verified":true,"closed_at":null,"days_open":15,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":15},"description":"Advanced SW Engineer-Data Engineering -MLOPs\nAt Aptiv, we shape the future of mobility by developing technologies that make vehicles safer, greener, and more connected. We are building a new Data Engineering team in Chennai to develop the scalable data platforms that support our Advanced Driver Assistance Systems and autonomous driving solutions.\nAs a Data Engineer, you will design, build, and operate production-grade data pipelines and cloud-native services for large volumes of vehicle, sensor, validation, and engineering data. You will work with global engineering, product, AI/ML, and automotive-domain teams to make trusted data discoverable, reliable, secure, and ready for analytics and machine learning. Depending on your experience, you may own technical workstreams, define engineering standards, and mentor other engineers as the India team grows.\nYour Roles and Responsibilities:\nCore Competencies & Demonstrated Success:\nDesign, develop, and maintain scalable batch and streaming pipelines that ingest data from vehicles, sensors, APIs, files, databases, and cloud services.\nBuild reusable ETL/ELT frameworks for transforming raw data into curated, analytics-ready and ML-ready datasets.\nDesign data models and storage patterns across data lakes, lakehouses, warehouses, and SQL and NoSQL systems.\nDevelop APIs and data services that enable secure, efficient access to raw and processed data.\nImplement automated data validation, reconciliation, schema checks, lineage, metadata, and quality monitoring across the data lifecycle.\nImprove pipeline reliability through observability, alerting, retry and recovery patterns, testing, and systematic root-cause analysis.\nOptimise distributed processing, storage, and query performance while balancing scalability, availability, and cloud cost.\nApply security, privacy, access-control, retention, and governance requirements to data products and platforms.\nBuild and maintain automated CI/CD pipelines, infrastructure-as-code, containerised workloads, and deployment practices for data services across AWS and/or Azure.\nPartner with AI/ML and MLOps teams to deliver high-quality datasets, features, and interfaces for model development, validation, and production workflows.\nCollaborate with global product, platform, embedded, validation, security, and domain teams to translate requirements into maintainable data solutions.\nContribute to architecture reviews, coding standards, technical documentation, peer reviews, and the continuous improvement of engineering practices.\nYour Background\nBachelor’s or master’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related discipline, or equivalent practical experience.\n5-10 years of professional experience in data engineering, software engineering, or a closely related field.\nStrong programming skills in Python and advanced working knowledge of SQL.\nHands-on experience designing and operating production ETL/ELT pipelines for large-scale datasets; experience at petabyte scale is preferred.\nExperience with data modelling, relational databases, NoSQL systems, and cloud object storage.\nExperience with distributed data processing technologies such as Apache Spark or an equivalent managed platform.\nPractical experience with at least one public cloud platform (AWS or Azure) and its data, compute, storage, security, and monitoring services.\nExperience with workflow orchestration and scheduling tools such as Apache Airflow, Azure Data Factory, AWS Step Functions, or equivalent.\nProficiency with Git, automated testing, code review, and CI/CD practices.\nGood understanding of data quality, schema evolution, idempotency, partitioning, performance tuning, observability, and failure recovery.\nAbility to troubleshoot complex data and platform issues using a structured, evidence-driven approach.\nStrong communication and collaboration skills, with experience working across functions and geographies.\nBonus / Preferable to have\nExperience with streaming and messaging platforms such as Apache Kafka, Kinesis, or Event Hubs.\nExperience with Docker, Kubernetes, serverless architectures, and infrastructure-as-code tools such as Terraform or CloudFormation.\nExposure to data lakehouse, transformation, or table-format technologies such as Databricks, dbt, Delta Lake, Apache Iceberg, or equivalent.\nExperience with monitoring and visualisation tools such as Grafana, Kibana, OpenSearch/ELK, Qlik Sense, or Power BI.\nFamiliarity with MLOps platforms, feature or dataset management, and data workflows for model training and validation.\nExperience with ADAS, autonomous driving, automotive, IoT, telemetry, sensor, image, video, or other high-volume engineering datasets.\nWorking knowledge of Java, Scala, C, or C++ where integration with platform or embedded systems is required.\nExperience mentoring engineers or leading the technical delivery of a workstream.\nWhy join us?\nYou grow at Aptiv.\nAptiv's winning culture is global by design. We bring together diverse perspectives, cultures, and business contexts to solve our customers' toughest challenges. In this environment, every individual can grow, lead, and make an impact, regardless of background, because inclusion fuels how we innovate and win.\nYou make an impact at Aptiv.\nOne of the strengths of humanity is our drive to progress, to improve, to achieve more tomorrow than we did yesterday. People need solutions they can trust when it matters most. At Aptiv, you are building those solutions every day.\nYou have support at Aptiv.\nWe ensure you have the resources and support you need to take care of your family, your physical health, and your mental health with a competitive benefits package.\nYour Benefits at Aptiv:\nHigher Education Opportunities (UDACITY, UDEMY, COURSERA are available for your continuous growth and development);\nLife and accident insurance;\nSodexo cards for food and beverages\nWell Being Program that includes regular workshops and networking events;\nEAP Employee Assistance;\nAccess to fitness clubs (T&C apply);\nCreche facility for working parents;\nMeet the Next-Generation Aptiv:\nAt Aptiv, we deliver innovative solutions that people trust when it matters most.\nProgress is never static. It is about reaching further, exploring new possibilities, and enabling mobility. Aptiv empowers customers to create solutions people rely on-advancing safety and autonomy in Automotive and Commercial Vehicles, enabling mission-critical performance in Aerospace & Defense, and powering intelligent systems across Energy, Enterprise, and Telecommunications. We also drive precision and efficiency in Industrials & Robotics and support life-critical innovation in Medical technologies.\nGuided by our winning culture and values to Think & Act Like Owners, as One Team, and Play to Win, we turn commitment into results and achieve more together.\nJoin Us to Deliver Innovative Solutions That People Trust!\nApply today, and together let’s change tomorrow!\nPrivacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates\nAptiv is an equal employment opportunity employer. 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