APRIL

Sr Data Engineer

Job description

Job Description
  • Design and build reusable components, frameworks and libraries at scale to support analytics products.
  • Design and implement product features in collaboration with business and Technology stakeholders.
  • Anticipate, identify and solve issues concerning data management to improve data quality.
  • Clean, prepare and optimize data at scale for ingestion and consumption.
  • Drive the implementation of new data management projects and re-structure of the current data architecture.
  • Implement complex automated workflows and routines using workflow scheduling tools.
  • Build continuous integration, test-driven development and production deployment frameworks.
  • Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards.
  • Analyze and profile data for designing scalable solutions.
  • Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues.
  • Mentor and develop other data engineers in adopting best practices.
Requirements

Top 3 Skills
  • SQL (Snowflake)
  • Pyspark
  • AWS

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