Data Analytics Engineer

Round 1: Online Assessment (SQL & Python coding) → Round 2: Technical Interview (data pipeline design, case studies) → Round 3: HR Interview (fitment and behavioral questions)

Aptiv promotes a collaborative work culture where engineers are encouraged to experiment and innovate. Employees benefit from structured career growth programs, mentorship, and a healthy work‑life balance supported by flexible timings and occasional remote days.

Aptiv's interview process typically starts with a timed online test focusing on SQL queries and Python coding. The technical interview dives deep into data pipeline architecture, ETL concepts, and scenario‑based problem solving. The HR round assesses cultural fit, communication skills, and career aspirations. Candidates should practice end‑to‑end data flow design and be ready to discuss past projects.

Graduates (B.Tech/B.E/M.Tech/M.Sc) in Computer Science, Information Technology, Electronics & Communication, Statistics, Mathematics or related fields. Minimum 60% aggregate (or 6.0 CGPA). Final year students of 2025 batch eligible. Maximum of 2 active backlogs allowed at the time of application. Must have strong foundation in SQL, Python and data analytics concepts.

Aptiv is a global technology company that designs and manufactures innovative solutions for the automotive and mobility sectors. With a presence in over 40 countries, the firm focuses on creating safer, greener, and more connected experiences for drivers and passengers. In India, Aptiv has established a strong engineering hub in Bengaluru, where it collaborates with cross‑functional teams to deliver cutting‑edge software, hardware, and data‑driven products. The company’s culture encourages continuous learning, diversity of thought, and a passion for solving complex real‑world problems. The Data Analytics Engineer role at Aptiv Bengaluru is a pivotal position that bridges the gap between raw data and actionable insights. As a member of the analytics engineering team, you will design, build, and maintain robust data pipelines that ingest, cleanse, and transform large volumes of structured and unstructured data. You will work closely with data scientists, product managers, and business stakeholders to develop dashboards, reports, and predictive models that drive strategic decisions across the organization. Key responsibilities include: 1. Designing end‑to‑end ETL pipelines using SQL, Python, and modern data orchestration tools. 2. Developing and optimizing data models for data warehousing solutions such as Snowflake or Redshift. 3. Implementing data quality checks and monitoring frameworks to ensure reliability. 4. Creating interactive visualizations and self‑service dashboards in Power BI or Tableau. 5. Collaborating with cross‑functional teams to translate business requirements into technical specifications. 6. Conducting performance tuning of queries and pipelines to meet SLA targets. 7. Documenting data lineage, architecture, and standard operating procedures. 8. Staying updated with emerging data technologies and recommending best practices. 9. Supporting ad‑hoc analytical queries and troubleshooting data issues. 10. Mentoring junior engineers and contributing to knowledge‑sharing sessions. The tech stack typically includes SQL, Python, Airflow, dbt, cloud platforms (AWS/GCP), and BI tools like Power BI/Tableau. Aptiv offers a clear growth path: junior engineers can progress to senior engineer, lead data architect, or analytics manager roles, with opportunities to work on global projects and gain exposure to the automotive IoT ecosystem. Joining Aptiv means being part of a forward‑thinking organization that values innovation, offers competitive compensation, and provides a collaborative environment where your contributions directly impact the future of mobility.