Data Engineer

Agama Solutions
Glendale, CA, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$160,000.0 - $175,000.0
Working hours
Regular working hours
Job source

Tech stack

Airflow Amazon Web Services Continuous Integration Information Engineering Extract Transform Load (ETL) Python (Programming Language) Performance Tuning Scala (Programming Language) SQL Databases Systems Integration Sql Optimization Snowflake
+7 more
Apache Spark Git Pyspark AWS Data Analytics Data Pipelines Docker Databricks

Requirements

  • 5+ years in Data Engineering with strong hands-on Databricks/Spark experience. Bachelor’s degree or equivalent experience
  • Databricks & Apache Spark / PySpark
  • Apache Airflow (MWAA)
  • Advanced SQL
  • Python & Scala, AWS
  • Data pipeline / ETL development
  • Docker & Kubernetes
  • Databricks governance - Unity Catalog, ACLs, lineage
  • CI/CD & Git, Snowflake
  • Build and optimize scalable data pipelines using PySpark, Scala, SQL and Python
  • Manage Databricks/AWS data platforms, Airflow workflows, governance, monitoring and integrations.
  • Strong Spark architecture, performance tuning, troubleshooting
  • Stakeholder communication skills required.

Benefits & conditions

  • 401(k)
  • Dental insurance
  • Health insurance
  • Life insurance
  • Paid time off
  • Vision insurance

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