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java aws snowflake python databricks📋 Description
- Translate business requirements into data requests, reports and dashboards.
- Design secure, scalable data lakes, data warehouses, data hubs, and event-driven architectures.
- Build end-to-end data pipelines; ETL in Python/Java/Scala.
- Experience with Hadoop ecosystem: PySpark, Spark, Storm, HDFS, Hive.
- Hands-on with Databricks or Snowflake (both desirable).
- Ensure data quality, governance, security, privacy; implement data validation processes.
🎯 Requirements
- Strong SQL/NoSQL database concepts and data modeling.
- Data architecture patterns for secure, scalable data lakes, warehouses and hubs.
- ETL design/implementation in Python/Java/Scala; PySpark exposure.
- Hadoop ecosystem experience: PySpark, Spark, Storm, HDFS, Hive.
- Databricks or Snowflake experience (both desirable).
- AWS/Azure/GCP data services knowledge (S3, Redshift, Glue; Azure Synapse).
🎁 Benefits
- Career growth and development opportunities.
- Wellbeing programs including mental health plans and unlimited PTO.
- Inclusive culture with intrinsic dignity and equal opportunity.
- US benefits: 100% company-funded medical and dental for employees and dependents.
- Unlimited PTO and company-paid disability and life insurance.
- Generous parental leave and #oneteam participation.
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