Senior Data Engineer – Databricks, PySpark, Azure, Java
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Job Description
Senior Data Engineer developing data solutions, mentoring junior engineers, and performing code reviews. Strong experience with Databricks, PySpark, and backend technologies required.
Responsibilities:
- Document and maintain project artifacts.
- Maintain comprehensive knowledge of industry standards, methodologies, processes, and best practices.
- Promptly report any known or suspected loss, theft or unauthorized disclosure or use of PI to the General Counsel/Chief Compliance Officer or Chief Information Officer.
- Safeguard the company’s assets.
- Adhere to the company’s compliance program.
- Maintain comprehensive knowledge of industry standards, methodologies, processes, and best practices.
- Maintain focus on customer-service, efficiency, quality, and growth.
- Collaborating with additional team members.
- Other duties as assigned.
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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