Chief Data Solutions Architect

7 days ago

Gurgaon, Haryana, India beBeeDataEngineer Full time
Job Title: Data Architect

This is a high-profile role for an experienced Data Engineer who can design, develop and maintain robust data pipelines using Python and AWS data services. The ideal candidate will have extensive experience in data engineering, data warehousing, and big data processing.

Key Responsibilities:
  • Design and implement end-to-end data engineering solutions utilizing a combination of Python and AWS data services like Glue, Lambda, and EMR.
  • Develop and maintain scalable ETL (Extract, Transform, Load) pipelines to ensure seamless data flow across the organization.
  • Utilize PySpark for efficient big data processing and transformation to gain valuable insights from large datasets.
  • Collaborate with cross-functional teams to understand data requirements and translate them into scalable data architectures.
  • Implement data security measures and contribute to data governance practices to safeguard sensitive information.
  • Troubleshoot and resolve complex data workflow issues that impact business operations.
Requirements:
  • Strong expertise in Python and SQL for data manipulation and pipeline development.
  • Hands-on experience with PySpark for big data processing and real-time analytics.
  • Deep understanding of AWS data services such as Redshift, Glue, S3, Lambda, Kinesis, Athena, and DynamoDB.
  • Experience with Kafka for real-time data ingestion and stream processing.
  • Excellent problem-solving skills with the ability to debug complex data workflows.
Preferred Qualifications:
  • Familiarity with infrastructure as code (IaC) tools like Terraform or CloudFormation.
Benefits:
  • Opportunity to work on cutting-edge data engineering projects.
  • Chance to collaborate with cross-functional teams to drive business growth.
  • Professional growth and development opportunities.

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