Live opening · Posted 15 hours ago
The key details from the original listing.
Description supplied by the original job listing.
We are looking for an experience AWS Databricks Developer / Data Engineer with strong hands-on expertise in Databricks, Apache Spark, PySpark, and building scalable ETL/ELT data pipelines. The ideal candidate should have experience in cloud-based data engineering, data modelling, and large-scale data processing.
✅ Primary Skills
🔹 Hands-on experience with Databricks development and large-scale data processing
🔹 Strong expertise in Data Engineering and ETL/ELT pipeline development
🔹 Proficiency in Apache Spark, PySpark, Spark SQL, Python, Scala, and Power BI
🔹 Hands-on experience with Delta Lake, ACID transactions, schema evolution, and performance optimization
🔹 Experience building batch and near-real-time data ingestion pipelines
🔹 Strong understanding of analytical and dimensional data modelling (Star and Snowflake schemas)
🔹 Experience with AWS cloud storage services
🔹 Knowledge of coding standards, documentation, and data engineering best practices
🔹 Ability to collaborate with architects, BI teams, and data science teams
⭐ Secondary Skills
✔️ Exposure to ML/AI workloads and feature engineering on Databricks
✔️ Familiarity with MLflow or similar model-tracking tools
✔️ Experience with Databricks CI/CD and Git-based version control
✔️ Understanding of data governance, security, and compliance
✔️ Familiarity with Agile/Scrum methodologies
✔️ Insurance domain experience is an added advantage
Work arrangement
No
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