Data Engineer | Python, Pyspark, Cloud Data Platforms & Migration Expertise

Synechron

Hybrid
Informatica intelligent data management cloud (idmc)
Pyspark and spark sql development
Sql proficiency across multiple databases
The role involves designing and maintaining scalable ETL workflows for enterprise data ingestion and migration across cloud environments

Job Summary

  • The role involves designing and maintaining scalable ETL workflows for enterprise data ingestion and migration across cloud environments.
  • Candidates must ensure data quality, security, and regulatory compliance including GDPR and HIPAA standards.
  • The position requires collaboration with data architects and analysts to deliver robust data solutions aligned with business objectives.

Matching Summary

The role involves designing and maintaining scalable ETL workflows for enterprise data ingestion and migration across cloud environments.

Skills & Requirements

Must-have

  • Informatica Intelligent Data Management Cloud (IDMC)
  • PySpark and Spark SQL development
  • SQL proficiency across multiple databases
  • AWS Azure or GCP cloud platform experience
  • REST API and web service integration
  • Data pipeline design and optimization

Nice-to-have

  • CI/CD pipeline automation with Jenkins
  • Infrastructure as code with Terraform
  • Data governance and security frameworks
  • Experience in regulated industries
  • Agile/Scrum methodology knowledge

Key Requirements

  • 5+ years of enterprise-scale data pipeline experience
  • Bachelor's or Master's degree in Data Engineering or related field
  • Proven expertise in cloud data migration projects
  • Experience with data governance and privacy policies

Work Rights

Not specified

Tailored Resume

Cover Letter