Cloud Data Engineering Leadership Opportunity

1 day ago

Mysore, Karnataka, India beBeeEngineer Full time ₹ 15,00,000 - ₹ 25,00,000
Data Engineering Lead Role

We are seeking an experienced Data Engineering professional to lead our data engineering team. This key 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.

The ideal candidate will have around 6+ years of experience in data engineering or cloud computing data development. They will work with structured and unstructured data to build scalable ingestion and transformation workflows across cloud platforms.

  • Develop and optimize ETL/ELT data pipelines using Apache Spark, AWS Glue, and Azure Data Factory
  • Work with structured and unstructured data to build scalable ingestion and transformation workflows across cloud platforms
  • Design and implement data lake and data warehouse solutions using AWS S3, Azure Data Lake, and AWS Glue
  • Collaborate with data scientists, analysts, and application developers to support advanced analytics, reporting, and ML workflows
  • Implement job orchestration, monitoring, and error handling for reliable pipeline execution
  • Maintenance and support of Data Pipelines
  • Data load monitoring
  • Data Validation and quality checks
  • Identify and optimize ingestion pipelines in consultation with Customers
  • Data: L2/L3 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 and RCA
  • 8x5 support model

Our ideal candidate will have a strong background in data engineering, excellent problem-solving skills, and the ability to collaborate with cross-functional teams. If you have a passion for working with large datasets and want to be part of a dynamic team, we encourage you to apply.

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