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Senior Data Engineer, Databricks and Spark
Build scalable Databricks and Spark pipelines for Jenzabar’s education software, shaping curated analytics data layers. Deliver dependable data solutions that support business insights.
विवरण
- Build and maintain scalable ETL/ELT pipelines with Databricks and Spark.
- Integrate and transform source data into curated, analytics-ready layers, maintaining the supporting processes.
- Work with product, analytics, and engineering teams to turn business needs into data solutions.
- Keep data documentation current, including dictionaries and lineage.
- Query and manage data in SQL Server.
- Use AI-enabled tools and analytics where appropriate to support decisions, improve efficiency, and achieve measurable business outcomes.
- Apply sound judgment and ethical standards to AI use, protecting accuracy and data privacy with responsible human oversight.
- Take on other assigned duties.
आवश्यकताएँ
- Write Python and SQL scripts proficiently.
- Use cloud data platforms; Azure experience is preferred.
- Build pipelines to ingest, transform, and load source data into curated data models.
- Use data pipeline orchestration and workflow tools.
- Work confidently with Git-based version control.
- Use SQL Server effectively, including query optimization and performance tuning.
- Scope and deliver projects within agreed timelines.
- Collaborate across teams to deliver data-driven solutions.
- Bring strong problem-solving skills, autonomy, and ownership.
- Have at least eight years of relevant experience.
- Jenzabar does not sponsor work visas.
- A bachelor’s degree in computer science or a related field is preferred.
लाभ
- Medical insurance
- Life insurance
- Dental insurance
- Vision insurance
- Paid time off
- Paid parental leave
- Paid holidays
- Short-term disability coverage
- Long-term disability coverage
- 401(k)
- Educational assistance
- Eligibility for an annual bonus
- A comprehensive range of benefits
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