1. PySpark & Spark SQL: Hands-on experience writing production-grade PySpark code
2. Databricks: Proven experience working within Databricks environments, including cluster configuration and Delta Lake
3. Apache Airflow: Strong experience building and managing pipelines in Apache Airflow
4. SQL Mastery: Advanced SQL skills (window functions, CTEs, query optimization, indexing strategies)
5. Data Modeling: Solid understanding of contemporary data warehousing concepts
6. Version Control: Proficiency with Git and CI/CD deployment workflows
7. AWS: Experience in Amazon Web Services (AWS) cloud infrastructure
8. ETL/ELT: Proven track record of designing, building, and optimizing scalable ETL/ELT pipelines and data platforms
📌 Data Engineer (Bengaluru)
🏢 Artech
📍 Bengaluru
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