
Senior Data Infrastructure Specialist
1 week ago
As a Data Architect, you will play a key role in designing and building scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
Key Responsibilities- 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.
- 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.
- 5+ years of experience in data engineering roles.
- Hands-on experience with:
- Azure Data Factory (ADF) – building pipelines, triggers, linked services.
- Azure Databricks – building and managing Spark jobs in PySpark.
- Azure Synapse Analytics – data warehousing, SQL queries, workspace orchestration.
- Apache Kafka – consuming and processing real-time data streams.
- Strong in SQL, Python, and Spark for data manipulation and transformation.
- Exposure to CI/CD practices (Azure DevOps, Git workflows, build/release pipelines).
- Understanding of data lake architecture and modern data warehousing principles.
- Experience with Delta Lake, Event Hub, or Azure Stream Analytics.
- Familiarity with infrastructure-as-code tools like Terraform or ARM templates.
- Exposure to Data Governance, Data Quality frameworks, or metadata management.
- Understanding of networking, security, and access control in Azure data services
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