Cloud Computing Data Engineering Lead

1 day ago


Meerut, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Senior Data Engineer Role

A seasoned Senior Data Engineer is needed to lead our data engineering team. The successful candidate will have a strong background in designing, developing, and optimizing ETL/ELT data pipelines using Apache Spark, AWS Glue, and Azure Data Factory.

Key Responsibilities:
  • Design, develop, and optimize ETL/ELT data pipelines using PySpark or Scala, AWS Glue, and Azure Data Factory.
  • Work with structured and unstructured data to build scalable ingestion and transformation workflows across cloud platforms.
  • Build 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 Pipeline.
  • Data load monitoring.
  • Data Validation and quality checks.
  • Identify and optimize ingestion pipelines in consultation with customers.
  • Provide Level 2/Level 3 technical support for data-related issues.
  • Investigate Glue job failures and restart.
  • Fix minor transformation logic or input data issues.
  • Resolve dependency failures in Glue workflows.
  • Tune job configurations.
  • Perform impact analysis and root cause analysis (RCA).

The ideal candidate will have around 6+ years of experience in data engineering or cloud computing data development.



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