
Lead Data Architect
2 weeks ago
We are seeking an experienced Data Engineer 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 have hands-on experience in Microsoft Azure data ecosystem and possess strong skills in SQL, Python and Spark for data manipulation and transformation.
Key Responsibilities:
- Design and build scalable 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.
Must-Have Skills:
- 5+ years of experience in data engineering roles.
- Hands-on experience with Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics and Apache Kafka.
- Strong skills in SQL, Python and Spark for data manipulation and transformation.
Benefits:
- 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.
PREFERRED CERTIFICATIONS:
- MICROSOFT CERTIFIED: AZURE DATA ENGINEER ASSOCIATE
- DATABRICKS CERTIFIED ASSOCIATE DEVELOPER FOR APACHE SPARK
- Azure Fundamentals (AZ-900)
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