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Senior Data Engineer (Databricks & PySpark) at DATAMAXIS

Roles & Responsibilities

  • 5+ years of IT development experience.
  • Strong SQL and backend experience; experience designing solutions, performing code reviews, and mentoring junior engineers.
  • Hands-on experience with Python, PySpark, Databricks, SQL/PL-SQL, and Java (or C#).
  • Team player with strong analytical and problem-solving skills; quick learner and able to work in fast-paced environments.

Requirements:

  • Collaborate with architects and technical leads on design; contribute to monitoring, dashboards, and cost/performance optimization.
  • Work with business analysts on integration requirements and ensure robust data pipelines.
  • Troubleshoot performance issues and production incidents; perform code reviews and mentor junior engineers.
  • Document key design decisions, maintain attention to detail, and communicate promptly; adapt to new technologies.

Job description

Job Summary: Looking for a developer who has hands on experience with Databricks/Pyspark , Java/ python, Webservices and SQL. Position is long term and will likely be renewed annually.

Essential Job Functions:

  • Understands the full picture and helps operations with monitoring, dashboards etc.
  • work with architect and tech lead on design
  • constantly keeps an eye on cost and performance of the system
  • work with BA on the integration requirements
  • Ability to trouble shoot performance issue and other functional issues
  • Attention to details and documents the key decisions made
  • Ability to handle fast paced projects and willing to look into production issues
  • Should be a quick/self learner and be able to adopt to new technologies
  • Prompt response /communication needed

Minimum Qualifications and Job Requirements:

  • Must be a team player.
  • Must have at least 5 years of IT development experience.
  • Must have strong analytical and problem-solving skills.
  • Must have experience in designing solutions, performing code reviews, mentoring junior engineers.
  • Must have strong SQL and backend experience, and working on data driven projects.

Must have following experience:

  • Python/PySpark
  • SQL/ PL/SQL
  • Databricks
  • Java/C#

Preferred to have following experience:

  • Azure
  • Kafka
  • Node JS
  • Azure Data Factory

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