Data Integration Specialist

1 week ago

Delhi, Delhi, India beBeeData Full time ₹ 20,00,000 - ₹ 25,00,000
Job Title :
Data Engineering Manager Experience : 10-16 YearsWork Mode :
Hybrid - Full time Data Integration & Modernization
  • Lead the migration of data pipelines, models, and workloads in Redshift.
  • Design and implement landing, staging, and curated data zones to support scalable ingestion and consumption patterns.
  • Design and build robust ETL/ELT pipelines using Python, SQL, and orchestration tools.
  • Build modular, reusable, and testable pipeline components that handle high volume and ensure data integrity.
  • Define and implement data modeling strategies (star, snowflake, normalization/demoralization) for analytics and BI layers.
  • Implement strategies for data versioning, late-arriving data, and slowly changing dimensions.
  • Implement automated data validation and anomaly detection (using tools like dbt tests, Great Expectations, or custom checks).
  • Build logging and alerting into pipelines to monitor SLA adherence, data freshness, and pipeline health.
  • Contribute to data governance initiatives including metadata tracking, data lineage, and access control.

Required Skills & Experience
  • 10+ years in data engineering roles with increasing responsibility.
  • Proven experience leading data migration or re-platforming projects.
  • Strong command of Python, SQL for data pipeline development.
  • Experience working with dbt models.
  • Hands-on experience with modern data platforms like postgreSQL, Redshift.
  • Proficient in building streaming pipelines with tools like Kafka, rudderstack.
  • Deep understanding of data modeling, partitioning, indexing, and query optimization.
  • Expertise with Apache airflow for ETL orchestration.
  • Comfortable working with large datasets and solving performance bottlenecks and optimizing table structures.
  • Experience in designing data validation frameworks and implementing DQ rules.
  • Strong understanding of git hub and code migration techniques.
  • Familiarity with reporting tools like tableau, power bi.
  • Knowledge of financial domain.

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