Senior Cloud Architect

4 days ago

Vellore, Tamil Nadu, India beBeeDataEngineering Full time ₹ 15,00,000 - ₹ 25,00,000

Job Overview:

This is a leadership role within the data engineering team, responsible for designing and developing scalable data pipelines using Apache Spark, AWS Glue, and Azure Data Factory.

As a Senior Data Engineer (Lead), you will be working closely with data scientists, analysts, and application developers to support advanced analytics, reporting, and ML workflows.

  • Around 6+ years of experience in data engineering or cloud computing data development
  • Design, develop, and optimize ETL/ELT data pipelines using Apache Spark (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,AWS Glue
  • Collaborate with cross-functional teams to support advanced analytics, reporting, and machine learning 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 stakeholders
  • Data: L2/L3 Support
  • Investigate failures and restart glue jobs
  • Fix minor transformation logic or input data issues
  • Resolve dependency failures in glue workflows
  • Tune job configurations
  • Impact Analysis and RCA
  • 8x5 support model

Qualifications:

Bachelor’s degree in Computer Science, Information Technology, or related field.

Required Skills:

Apache Spark, AWS Glue, Azure Data Factory, Python, Java, SQL

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