Related skills
azure aws sql python gcp📋 Description
- Design, implement, and optimize big data pipelines in Databricks.
- Develop scalable ETL workflows to process large datasets.
- Leverage Apache Spark for distributed processing and real-time analytics.
- Implement data governance, security policies, and compliance standards.
- Optimize data lakehouse architectures for performance and cost-efficiency.
- Collaborate with data scientists, analysts, and engineers on AI/ML workflows.
🎯 Requirements
- Bachelor’s or Master’s degree in CS, Data Eng, or related field.
- 5+ years with Databricks and Apache Spark.
- SQL, Python, or Scala for data processing.
- Cloud data engineering on AWS, Azure, or GCP.
- ETL, data lakes, Delta Lake; CI/CD and DevOps.
- Familiarity with data security, governance.
🎁 Benefits
- Competitive salary with strong insurance package.
- Extensive learning and development resources.
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