Related skills
sql python databricks dbt airflow📋 Description
- Design, build, maintain scalable data pipelines for analytics.
- Write code in Python, SQL, Spark.
- Ensure data is reliable, accurate, and timely.
- Lead projects to build or improve data products.
- Collaborate with analysts, scientists, and PMs to clarify requirements.
- Participate in code reviews and agile ceremonies; share best practices.
🎯 Requirements
- 3+ years in data engineering, analytics engineering, or data-focused software.
- Strong SQL and a programming language (Python, Java, or Scala).
- Hands-on with Databricks, Airflow, dbt, Spark, or Kafka.
- Understanding of data modeling, data warehousing, and ETL/ELT.
- Experience with AWS, GCP, or Azure.
- Experience supporting BI, analytics, or data science teams.
🎁 Benefits
- Health, dental, and vision insurance.
- PTO and paid holidays.
- 401(k) retirement plan with company match.
- Commuter benefits and stock program eligibility.
- Paid sick time and access to other benefits.
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