Cloud Data Transformation Expert

3 days ago

Hyderabad, Telangana, India beBeeExpert Full time ₹ 18,00,000 - ₹ 24,00,000

About the Role :

We are seeking a highly skilled expert to design, build, and optimize robust cloud-based data pipelines that drive enterprise decision-making.

Key Responsibilities :

  • Design and develop end-to-end data pipelines on AWS for large-scale data integration.
  • Work with AWS services including S3, Glue, Athena, EMR, and Redshift to process and transform datasets.
  • Develop and maintain data scripts using SQL/PL-SQL and Python.
  • Implement data orchestration workflows using Airflow to manage scheduling and dependencies.
  • Build dashboards and reports in Tableau to enable real-time business insights.
  • Collaborate with data scientists, analysts, and business teams to understand requirements and translate them into scalable data solutions.
  • Ensure data quality, validation, and governance across ingestion and transformation layers.
  • Optimize pipelines for performance, cost efficiency, and scalability in cloud environments.
  • Support production systems with monitoring, troubleshooting, and root cause analysis.
  • Document data processes, workflows, and data flow diagrams for operational excellence.

Requirements :

  • 5+ years of experience in data development and engineering.
  • Strong proficiency in SQL/PL-SQL and Python for data manipulation and automation.
  • Hands-on expertise with AWS cloud services: S3, Glue, Athena, EMR, and Redshift.
  • Experience with Apache Airflow for data pipeline orchestration.
  • Proficiency in building dashboards using Tableau.
  • Solid understanding of data warehouse concepts, schemas, and data modeling.

What We Offer :

  • Opportunity to work on enterprise-scale cloud data transformation programs.
  • Chance to design pipelines that directly impact business decisions and strategy.
  • Collaboration with cross-functional global teams in a fast-paced environment.
  • Remote flexibility with strong learning and certification support.
  • Competitive compensation with career growth opportunities.

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