Mid Data Developer ( Azure + Databricks )
Core
Design, develop, maintain, and optimize robust ETL/ELT data pipelines and scalable data processing workflows using Azure, Databricks, and Apache Spark.
Role type
Mid-level Data Developer (Cloud Data Engineering)
Builds
Reliable and efficient data pipelines, scalable data processing workflows, and modern data platform architectures.
Domain
Cloud data engineering, distributed processing, data platform modernization
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Azure, Databricks, Apache Spark, PySpark, SQL Server, Delta Lake, Git, CI/CD, data pipeline development, incident resolution, root cause analysis
Preferred skills
AI projects, pipeline automation, data-oriented architectures, data governance, Databricks MLflow
Technologies
Azure, Databricks, Apache Spark, PySpark, SQL Server, Delta Lake, Git
Responsibilities
Design and optimize ETL/ELT pipelines; Develop scalable data processing workflows; Manage data storage architectures; Apply DevOps practices for version control and automation; Investigate production incidents and implement corrective actions; Contribute to data platform modernization initiatives
Seniority
Mid-level, hands-on IC
