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java sql python apache spark azure devops📋 Description
- Design, develop, and maintain scalable data pipelines and infra.
- Collaborate with analysts to translate data needs into tech solutions.
- Implement governance, security, and QA for data reliability.
- Manage Spark pools and ETL processes for high-performance workloads.
- Explore new technologies to enhance data infrastructure.
🎯 Requirements
- 5+ years data engineering; build ETL pipelines and data infra.
- Proficiency in Azure Synapse Analytics, Azure DevOps, Spark.
- Python, SQL, and Java programming.
- Experience with Azure Data Factory and Azure Data Lake Storage.
- Senior data modeling, warehousing, and ETL expertise.
- Strong communication with non-technical stakeholders.
🎁 Benefits
- 100% remote within the United States.
- Must be able to work EST hours.
- Health, dental, vision, and 401K with company match.
- Dependent Care, FSA and HSA accounts.
- Paid parental and bonding leave.
- Flexible PTO and major holidays office closures.
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