Our Ideal Candidate:

- Robust data engineering experience with hands-on delivery of scalable data pipelines, data products, and analytics foundations

- Advanced SQL skills with the ability to design performant queries, data models, and transformation logic

- Hands-on knowledge of Python and PySpark for large-scale data processing and automation

- Curious, hands-on problem solver who can engage with business stakeholders to understand the real requirement and deliver practical outcomes

- Comfortable moving between rapid prototyping and production-grade data engineering based on business need

- Experience enabling visualization, BI, AI/ML, or advanced analytics through trusted and well-governed data foundations

- Familiarity with cloud data platforms, orchestration tools, and distributed data processing patterns

- Strong ownership mindset and ability to work effectively across teams

Required Skills/Experience:





- MS or BS in a Computer Science or a science/engineering discipline.

- More than 6 years of experience in data engineering, analytics engineering, or data platform delivery

- Strong proficiency in SQL, Python, and PySpark is required

- Experience designing and operating ETL/ELT pipelines, orchestration workflows, data quality checks, and production data products

- Experience with cloud data platforms, distributed processing, data modelling, and analytics/BI consumption patterns

- Exposure to AI/ML engineering practices, feature pipelines, model productionization, LLM-based applications, or agentic AI patterns will be considered an advantage

- Experience with DevOps and DataOps practices, including CI/CD, monitoring, observability, and incident support

📌 Senior data engineer & AI (Pune)
🏢 A.P. Moller - Maersk
📍 Pune