Data Engineer (python, Pyspark, Snowflake, Databricks) | Cloud Data Pipelines, Automation & Compliance

Synechron

Python 3.7+ scripting and automation
Databricks pipeline development
Pyspark large-scale data processing
The role involves managing Snowflake data warehousing solutions while optimizing data workflows for enterprise operations

Job Summary

  • The role involves managing Snowflake data warehousing solutions while optimizing data workflows for enterprise operations.
  • Candidates will drive automation efforts to improve the efficiency and reliability of critical business processes.
  • The position requires collaborating with cross-functional teams to translate requirements into optimized data workflows ensuring high availability.

Matching Summary

The role involves managing Snowflake data warehousing solutions while optimizing data workflows for enterprise operations.

Skills & Requirements

Must-have

  • Python 3.7+ scripting and automation
  • Databricks pipeline development
  • PySpark large-scale data processing
  • Snowflake data warehousing expertise
  • Advanced SQL query optimization
  • Git version control proficiency

Nice-to-have

  • Jenkins or Azure DevOps CI/CD experience
  • Prometheus and Grafana monitoring skills
  • Terraform infrastructure as code knowledge
  • CloudWatch system health monitoring
  • GDPR and HIPAA compliance familiarity

Key Requirements

  • 6+ years supporting enterprise data platforms
  • Bachelor's or Master's degree in related field
  • Experience with regulated industry compliance

Work Rights

Not specified

Tailored Resume

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