Senior Data Pipeline Specialist

5 days ago

Delhi, Delhi, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Summary

We are seeking a highly skilled Data Engineer to join our team at ns-global-corporation. The ideal candidate will have a passion for designing, developing, and optimizing scalable data pipelines on AWS to support analytics, reporting, and business intelligence needs.

The role involves working with modern cloud-native services, migrating legacy data systems, and ensuring reliable, secure, and high-performance data flows. You will collaborate with cross-functional teams to deliver clean, well-modeled, and high-quality datasets that meet the needs of our stakeholders.

Main Responsibilities:
  • Create efficient ETL/ELT pipelines using AWS Glue, Redshift, S3, and Lambda.
  • Migrate legacy data systems (SQL Data Warehouse & SSIS ETL jobs) into modern AWS data services.
  • Automate data workflows including ingestion, transformation, partitioning, and lifecycle management.
  • Evaluate data solutions for reliability, scalability, and cost-efficiency with performance tuning and monitoring.
  • Work closely with data architects, analysts, and stakeholders to deliver high-quality datasets.
  • Troubleshoot and document data pipelines to maintain high availability.
Requirements:
  • 3+ years of hands-on experience as a Data Engineer, preferably with recent AWS cloud projects.
  • Strong expertise in AWS Glue, Amazon Redshift, Amazon S3, AWS Lambda, and SQL.
  • Proficiency in Python and a solid understanding of ETL best practices.
  • Experience with data migration from SQL DW / SSIS ETL to AWS cloud data platforms.
  • Familiarity with cloud-native architectures and modern data engineering principles.
  • Strong problem-solving skills, with an ability to work independently and collaboratively.
  • Excellent communication and documentation skills.
Nice-to-Have Skills:
  • Experience with CI/CD for data pipelines.
  • Exposure to data orchestration tools like Airflow, Step Functions, or Glue Workflows.
  • Knowledge of data lake/lakehouse architectures.
  • Hands-on with data quality frameworks and monitoring tools.

We Offer:

  • A dynamic work environment with opportunities for growth and development.
  • A collaborative team culture with regular feedback and coaching.
  • A comprehensive benefits package, including health insurance, retirement plan, and paid time off.

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