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4 Weeks ago

Principal Data Engineer

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Pune, Maharashtra, India
Manufacturing & Industrial
Other
bebo Technologies

Overview

bebo Technologies is a leading complete software solution provider. bebo stands for 'be extension be offshore'. We are a business partner of QASource, inc. USA[www.QASource.com]. We offer outstanding services in the areas of software development, sustenance engineering, quality assurance and product support. bebo is dedicated to provide high-caliber offshore software services and solutions.
Our goal is to 'Deliver in time-every time'.
For more details visit our website: www.bebotechnologies.com
Let's have a 360 tour of our bebo premises by clicking on below link:
https://www.youtube.com/watch?v=S1Bgm07dPmMKey

Key Responsibilities:

  • 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.
  • Translate business needs into technical specifications and design patterns that scale.
  • Participate in sprint planning, retrospectives, and data platform strategy meetings.
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