Unlock Data Potential as a Senior Data Engineer

2 days ago

Bengaluru Bangalore Chennai Delhi NCR, India beBeeData Full time ₹ 1,04,000 - ₹ 1,30,878
Senior Data Engineer

We are seeking an experienced Senior Data Engineer to design, build, and optimize large-scale data pipelines on the Databricks Unified Analytics Platform. This is an excellent opportunity to leverage your expertise in PySpark, big data frameworks, and cloud solutions to support advanced analytics and machine learning workflows.

Key Responsibilities:

  • Develop and manage scalable ETL/ELT pipelines using PySpark on Databricks.
  • Optimize data pipelines for performance, scalability, and cost.
  • Deploy and manage Databricks on Azure (ADF, Delta Lake, SQL).
  • Build CI/CD pipelines (Azure DevOps/GitHub Actions/Jenkins).
  • Collaborate with cross-functional teams to deliver robust data solutions.

Required Skills and Qualifications:

  • Python, PySpark, Databricks (Lakehouse, Delta Lake, Databricks SQL).
  • Azure Cloud (Data Lake, Synapse), Hadoop, Spark, Kafka.
  • SQL and NoSQL databases (PostgreSQL, SQL Server, MongoDB, Cosmos DB).
  • Familiarity with MLflow, Kubernetes (added advantage).

Benefits:

  • Strong problem-solving and analytical mindset.
  • Excellent communication and organizational skills.
  • Experience in regulated industries (insurance) preferred.

Education and Certifications:

  • Bachelor's in CS, Data Engineering, or related field.
  • Databricks, PySpark, or cloud certifications highly desirable.

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