Data Engineering Expert

2 days ago


Mumbai, Maharashtra, India beBeeEngineering Full time ₹ 50,000 - ₹ 13,00,000
Job Description

We are seeking a highly skilled Data Engineering Expert to lead our data team. This role will be responsible for designing, developing, and optimizing ETL/ELT data pipelines using Apache Spark (PySpark or Scala), AWS Glue, and Azure Data Factory.

Key Responsibilities
  • Data Pipeline Development: Design, develop, and optimize ETL/ELT data pipelines using Apache Spark (PySpark or Scala), AWS Glue, and Azure Data Factory.
  • Data Ingestion and Transformation: Work with structured and unstructured data to build scalable ingestion and transformation workflows across cloud platforms.
  • Data Lake and Warehouse Solutions: Build data lake and data warehouse solutions using AWS S3, Azure Data Lake.
  • Collaboration: Collaborate with data scientists, analysts, and application developers to support advanced analytics, reporting, and ML workflows.
  • Pipeline Maintenance: Implement job orchestration, monitoring, and error handling for reliable pipeline execution. Perform maintenance and support of Data Pipeline.
Required Skills and Qualifications
  • Experience: Around 8+ years of experience in data engineering or cloud computing data development.
  • Technical Skills: Apache Spark (PySpark or Scala), AWS Glue, Azure Data Factory, AWS S3, Azure Data Lake.
  • Collaboration: Experience working with cross-functional teams, including data scientists, analysts, and application developers.
Benefits
  • Data Support: Investigate Glue job failures and restart. Fix minor transformation logic or input data issues. Resolve dependency failures in Glue workflows. Tune job configurations.
  • Impact Analysis: Perform impact analysis and root cause analysis.
  • Availability: Work on an 8x5 support model.


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