{"id":2116210,"url":"https://alion.io/job/aptiv-senior-data-engineer-mlops","title":"Senior Data Engineer- 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":"Data Science","role_family":"Data Science","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":21000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":54},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Iceberg","optional":true},{"name":"Apache Kafka","optional":true},{"name":"C++","optional":true},{"name":"CloudFormation","optional":true},{"name":"Databricks","optional":true},{"name":"dbt","optional":true},{"name":"Delta Lake","optional":true},{"name":"Docker","optional":true},{"name":"Grafana","optional":true},{"name":"Java","optional":true},{"name":"Kibana","optional":true},{"name":"Kubernetes","optional":true},{"name":"OpenSearch","optional":true},{"name":"Power BI","optional":true},{"name":"QlikSense","optional":true},{"name":"Scala","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-01T00:00:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-10T01:02:50Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Aptiv -Help shape the future of mobility.\nImagine a world with zero vehicle accidents, zero vehicle emissions, and wireless vehicle connectivity all around us. Every day, we move closer to making that world a reality. Aptiv’s passionate team of engineers and developers creates advanced safety systems, high-performance electrification solutions and data connectivity solutions so that automakers can bring advanced capabilities to more people around the globe. This is how we enable sustainable mobility and help to prevent accidents caused by human error.\nWe’re hiring an Electrical/Electronics Engineer to design and develop our automotive products in the areas of Active Safety and User-Experience. This position is located at TCI Bengaluru.\nYour Role\nExperience: 5-10 Yrs\nJob Location: Chennai\nMandatory Skills: Data Engineering in to ADAS, Python Scripting with 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.\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.\nGood 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 can grow at Aptiv. Whether you are working towards a promotion, stepping into leadership, considering a lateral career move, or simply expanding your network - you can do it here. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.\nYou can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.\nYou have support. Our team is our most valuable asset. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package.\nApply today and together let’s change tomorrow!\n“Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law”\nhttps://www.aptiv.com/privacy-notice-active-candidates\n#LI-FA1\nPrivacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates\nAptiv is an equal employment opportunity employer. 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