Principal Data Engineer

6 years

0 Lacs

Posted:2 months ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Experience Required: 6+ Years Key Responsibility: Design and implement modern data lakehouse architectures (Delta Lake, or equivalent) on cloud platforms like AWS, Azure, or GCP. Define data modeling, schema evolution, partitioning, and governance strategies for high-performance and secure data access. Own the technical roadmap for scalable data platform solutions, aligned with enterprise needs and future growth. Provide architectural guidance and code/design reviews across data engineering teams. Build and maintain reliable, high-throughput data pipelines for ingestion, transformation, and integration of structured, semi-structured, and unstructured data. Solid understanding of data warehousing concepts, ETL/ELT pipelines, and data modeling Experience with tools like Apache Spark (PySpark/Scala), Hive, DBT, and SQL for large-scale data transformation. Design ETL/ELT workflows using orchestration tools like Apache Airflow, Temporal, or Apache NiFi. Lead and mentor a team of data engineers and provide guidance on code quality, design principles, and best practices. Act as a data architecture SME, collaborate with DevOps, Data Scientists, Product Owners, and Business Analysts to understand data requirements and deliver aligned solutions. Show more Show less

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