Description

You will lead the design, development, and maintenance of large-scale data solutions.

Responsibilities

  • Develop, configure, and test data solutions, including creating integration and application technical design documentation.
  • Perform code reviews and ensure adherence to established standards across all solution components.
  • Resolve complex defects during testing, identifying root causes and driving performance testing initiatives.
  • Support production environments by troubleshooting issues and tuning performance.
  • Conduct peer-reviews of functional design documentation.

Required Skills

  • 8+ years experience with ETL/ELT processes and frameworks.
  • 8+ years expertise in SQL and relational databases (Oracle, MySQL, PostgreSQL).
  • 5+ years proficiency in Python and Scala for data engineering and automation.
  • 8+ years experience with GIT repositories and CI/CD deployment processes.
  • 5+ years experience with Big Data technologies, specifically Hadoop and Spark.
  • Strong application development experience in Python.
  • Experience designing big data solutions using Spark, AWS Glue, Lambda, SNS/SQS, Cloudwatch.
  • Experience with Snowflake and strong SQL experience, preferably Redshift.
  • 5-8 years experience in Asset Management, Financial Services, Investment Management, or Hedge Funds.

Key Skills
Education

Any Graduate

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