
Expert Data Engineer
2 days ago
Job Title: Data Engineering Expert
We are seeking a skilled data professional to play a critical role in designing, developing and managing data pipelines and transformation frameworks that enable analytics, reporting and business intelligence capabilities across the enterprise.
The ideal candidate will work closely with data architects, platform engineers and DevOps teams to build scalable, resilient and efficient data engineering solutions using modern tools and best practices.
Key Responsibilities:
- Design and build ETL/ELT pipelines using Azure Data Factory (ADF), Azure Databricks (Spark) and Azure Synapse Analytics.
- Develop and optimize PySpark/Spark SQL jobs for large-scale batch and streaming data transformations.
- Ingest data from various sources including Apache Kafka, REST APIs and RDBMS, ensuring real-time or near-real-time availability.
- Implement data modeling strategies (star schema, snowflake schema) for analytics consumption layers in Synapse or ADLS.
- Collaborate with DevOps teams to automate deployment using CI/CD pipelines (Azure DevOps, GitHub Actions, etc.).
- Monitor, troubleshoot and optimize data workflows for performance, cost-efficiency and reliability.
- Follow coding standards, participate in peer reviews and maintain version-controlled code in Git repositories.
- Support data quality checks, logging, alerting and observability mechanisms for production workloads.
Required Skills:
- 5+ years of experience in data engineering roles.
- Hands-on experience with:
- Azure Data Factory (ADF)
- Azure Databricks
- Azure Synapse Analytics
- Apache Kafka
- Strong skills in SQL, Python and Spark for data manipulation and transformation.
- Exposure to CI/CD practices (Azure DevOps, Git workflows, build/release pipelines).
PREFERRED QUALIFICATIONS
- MICROSOFT CERTIFIED: AZURE DATA ENGINEER ASSOCIATE
- DATABRICKS CERTIFIED ASSOCIATE DEVELOPER FOR APACHE SPARK
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