AWS Data Engineer

1 day ago

Mumbai, Maharashtra, India Infogain Full time ₹ 18,00,000 - ₹ 21,00,000 per year

ROLES & RESPONSIBILITIES

Key Responsibilities

  • Data Migration Execution
  • Build and optimize ETL/ELT pipelines for bulk data loads, transformations, and Change Data Capture (CDC).
  • Assist in schema conversion, SQL optimization, and data validation processes.

  • Implement Spark-based jobs for high-volume and high-performance migration workloads.

  • Collaboration & Support

  • Work under the guidance of the Lead Data Engineer to deliver migration components.
  • Partner with cross-functional teams (application engineers, DBAs, QA) to ensure smooth integration with PostgreSQL.

  • Provide inputs on tool selection, migration best practices, and automation opportunities.

  • Data Quality & Reliability

  • Develop data validation and reconciliation frameworks to ensure 100% accuracy.
  • Monitor pipeline performance and troubleshoot issues proactively.
  • Maintain high availability, compliance, and security of sensitive customer and financial data.

Required Qualifications

  • 5+ years of experience in Data Engineering, with proven work in database migrations.
  • Strong experience in RDBMS to PostgreSQL data migration and SQL performance tuning.
  • Hands-on expertise in Apache Spark (PySpark/Scala) for ETL/ELT workloads.
  • Familiarity with AWS data services (Glue, EMR, RDS, S3, IAM) or similar cloud platforms.
  • Knowledge of data validation frameworks and best practices for reconciliation.
  • Solid programming skills in Python.

Preferred Skills

  • Background in financial/billing systems with mission-critical data flows.
  • Exposure to Terraform or Infrastructure-as-Code (IaC).
  • Familiarity with DevOps/DataOps practices (CI/CD for data pipelines, monitoring, observability).
  • Strong problem-solving, debugging, and optimization skills.

EXPERIENCE

6-8 Years

SKILLS

Primary Skill: Data Engineering

Sub Skill(s): Data Engineering

Additional Skill(s): Python, SQL, Workflows

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