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Senior Data Engineer

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Job Description - Senior Data Engineer

Job ref: QVRRR546

Responsibilities:

  • Design, develop, test, deploy and monitor data pipelines in Databricks on AWS from a wide variety of data sources.
  • Design, develop, test, deploy and monitor scalable code with PySpark and SQL in Databricks.
  • Identify opportunities to improve internal process through code optimisation and automation.
  • Build data quality dashboards, lineage flows / and or monitoring tools to utilize the data pipeline, providing active monitoring and actionable insight into overall data quality and data governance.
  • Assist in migrating data from legacy systems onto newly developed solutions.
  • Follow and lead best practices on all data security, retention, and privacy policies.

Requirements:

  • 5+ years experience of building ETL/ELT pipelines.
  • Proven competency in solution design, development, implementation, reporting and analysis.
  • Proficiency in Apache-Spark, Python and SQL languages.
  • Proficiency in working with Text, Delta, Parquet, JSON, CSV, and XML data formats.
  • Working knowledge of Spark structured streaming.
  • AWS infrastructure experience, specifically working with S3.
  • Solid understanding of git-based version control, DevOps, and CI/CD. Experience of working on Atlassian stack a plus.
  • Knowledge of common web API frameworks and web services.
  • Strong teamwork, relationship, and client management skills, and the ability to influence peers and senior management to accomplish team goals.
  • Willingness to embrace modern technology, best practice, and ways of work.
Original job Senior Data Engineer posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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