Related skills
aws sql grafana python databricks📋 Description
- Provide on-call technical support to analysts and data teams for queries and failures.
- Investigate and resolve data quality issues, ensuring audits and control compliance.
- Design and implement batch and real-time pipelines to data warehouse or data lake.
- Lead initiatives to enhance pipelines; mentor engineers; automate where possible.
- Create and maintain technical support documentation, FAQs, runbooks, knowledge base.
- Drive best practices for operations, incident management, and governance; manage tool access.
🎯 Requirements
- 3+ years in data engineering with focus on operational support.
- Advanced SQL skills with proven query optimization experience.
- Python programming for automation and data processing.
- Experience with cloud data platforms (AWS, Databricks, Spark).
- Data warehousing/ETL/ELT knowledge; dimensional modeling; Kafka or Kinesis.
- Orchestration/monitoring tools such as Airflow, Datadog, Grafana.
🎁 Benefits
- Health, vision, and dental plans; fertility and family planning support.
- PTO and holidays; sick leave.
- 401(k) with matching and long-term incentives.
- Commuter benefits and pet insurance.
- FanDuel Total Rewards program access.
- Equal opportunity employer; accommodations available.
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