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Common Data Engineer title, mid-level range, and Pune metro increase applicant competition.
Core data engineering skills (SQL, Python, Databricks) are highly transferable across industries.
No years specified but mandatory SQL/Python/Databricks skills imply moderate filtering.
Design, build, and maintain data pipelines and engineering workflows ensuring operational efficiency.
Develop and optimize data solutions primarily using SQL, Python, and Databricks.
Manage and deliver assigned project tasks independently, supporting data ingestion, automation, transformation, quality assurance, and system integration initiatives.
Proficiency in SQL, Python, and Databricks is mandatory.
Experience with data ingestion, process automation, transformation, and data quality assurance required.
Work Experience Required: Not explicitly mentioned in the JD.
No mandatory degree, notice period, or location requirements explicitly mentioned.
Able to independently manage and deliver tasks from a project backlog, indicating strong ownership.
Experienced in ensuring data accuracy, reliability, and operational efficiency across data engineering workflows.
Comfortable with end-to-end data pipeline design, development, and quality control in a data-driven environment.