Design, build, and optimize Spark ETL pipelines using Scala/Python and Oracle SQL. Lead and mentor a team of engineers, collaborate with stakeholders on scalable data solutions, ensure data integrity, security, and performance, and stay current on emerging technologies to drive improvements.
Key Responsibilities:
- Develop and optimize Spark ETL pipelines using Scala/Python and Oracle SQL.
- Lead a team of engineers, ensuring best practices and high performance.
- Collaborate with stakeholders to define and implement scalable data solutions.
- Ensure data integrity, security, and performance optimization.
- Stay updated on industry trends and emerging tech to drive continuous improvements.
Required Skills and Qualifications:
- 15+ years of experience in data engineering or related fields.
- Strong expertise in Oracle SQL, including query optimization and performance tuning.
- Hands-on experience with Apache Spark for ETL processing.
- Proficiency in Scala and/or Python for data engineering tasks.
- Experience leading teams, managing projects, and mentoring engineers.
- Solid understanding of data warehousing, distributed computing and cloud platform.
- Strong problem-solving skills and the ability to work in a fast-paced environment.
Preferred Qualifications:
- Familiarity with CI/CD pipelines and DevOps practices
- Knowledge of real-time data processing frameworks like Kafka.
Compensation, Benefits and Duration
Minimum Compensation: USD 64,000
Maximum Compensation: USD 225,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Photon San Francisco, California, USA Office
San Francisco, United States
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