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Mid-level metro data-engineer role with common skills attracts many applicants.
Core data engineering skills (SQL, Python, ETL) are widely transferable across industries.
Explicit 2–3 years requirement and mandatory SQL/Python skills create moderate screening.
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Design, build, and maintain batch and real-time data pipelines and platforms to support client data-driven decision making.
Collaborate with analysts, data scientists, and product teams to develop data models and warehouses/lakehouses.
Participate in client discussions and contribute to technical solutioning for diverse industry projects.
2–3 years of experience in data engineering or related role.
Proficiency in SQL and at least one data engineering programming language such as Python.
Understanding of ETL/ELT, data modeling, and data warehousing concepts.
Location requirement: Bangalore or Pune with potential short/medium-term travel within India.
Has hands-on experience building and maintaining scalable data pipelines using batch and real-time processing techniques.
Comfortable working in cross-functional teams involving analysts, data scientists, and product managers.
Open to client engagement travel within India and adaptable to varied industry projects.