
Senior Data Engineer
3 days ago
Unlock Data Excellence
As a seasoned data professional, you will play a pivotal role in crafting innovative data pipelines and transformation frameworks that drive business intelligence across the enterprise.
You will collaborate closely with data architects, platform engineers, and DevOps teams to design and implement scalable, resilient, and efficient data engineering solutions using modern tools and best practices.
- Data Pipeline Design: Develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF), Azure Databricks (Spark), and Azure Synapse Analytics.
- Large-Scale Data Processing: Create and deploy PySpark/Spark SQL jobs for batch and streaming data transformations.
- Real-Time Data Ingestion: Integrate data from various sources, including Apache Kafka, REST APIs, and RDBMS, ensuring real-time or near-real-time availability.
- Analytics-Driven Insights: Implement data modeling strategies (star schema, snowflake schema) for analytics consumption layers in Synapse or ADLS.
- CI/CD Automation: Collaborate with DevOps teams to automate deployment using CI/CD pipelines (Azure DevOps, GitHub Actions, etc.).
- Workflow Optimization: Monitor, troubleshoot, and optimize data workflows for performance, cost-efficiency, and reliability.
- Coding Standards: Follow coding standards, participate in peer reviews, and maintain version-controlled code in Git repositories.
- Data Quality Assurance: Support data quality checks, logging, alerting, and observability mechanisms for production workloads.
- Collaborative Environment: Participate in sprint ceremonies and contribute to task estimation and delivery planning.
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