Senior Data Engineer – Databricks | Spark (Entertainment Company
Job Description
About this kind of role
What a Senior Data Engineer – Databricks | Spark (Entertainment Company usually does. The employer's own details are in the listing.
Typically does: A Senior Data Engineer designs, builds, and maintains data pipelines and infrastructure to support data analysis and machine learning initiatives. This role involves transforming raw data into usable formats, ensuring data quality, and optimizing data processing workflows. They often collaborate with data scientists, analysts, and other engineers to deliver data-driven solutions. Responsibilities may include performance tuning, troubleshooting, and implementing data governance policies.
Tools and skills: Proficiency in programming languages like Python or Scala, experience with distributed computing frameworks such as Spark, and familiarity with cloud platforms and data warehousing solutions are typically required.
Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and the ability to work effectively in a collaborative environment often thrive in this role.
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A full-time year is 2,080 hours: $20 an hour is $41,600 a year before taxes, and $50,000 a year is $24.04 an hour. Hourly to salary calculator →
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