Azure Data Engineer
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Summary
A hands-on data engineer who designs, builds, and optimizes high-throughput ETL/ELT data pipelines on Azure Databricks using Spark (Scala) and SQL. Day to day covers medallion-architecture Delta Lake pipelines, real-time streaming integrations with Spark Streaming/Kafka, and CI/CD operationalization via Git/Azure DevOps.
Detailed Job description (Role & Responsibility, Skill and Experience range)
- We are looking for a hands-on Developer Programmer to design, build, and optimize high throughput data pipelines on Azure Databricks using Spark (Scala) and SQL
- Design & develop scalable ETL/ELT pipelines in Azure Databricks using Spark (Scala) and SQL, following medallion architecture (Bronze/Silver/Gold) and Delta Lake best practices.
- Proven expertise in designing real time and near real time integrations
- Operationalize workloads: jobs & workflows scheduling, CI/CD with Git (e.g., Azure DevOps), secrets management, and observability.
- Expertise in cloud platforms and related technologies, specifically:
- Data Platforms (e. g. Databricks) and big data technologies.
- Real time data processing frameworks Spark Streaming, Apache/Confluent Kafka
- Proficiency in SQL, Python, and data integration tools.
- Familiarity with Master Data Management solutions
- Excellent communication and stakeholder management skills.