
Highly Skilled Data Solutions Architect
1 day ago
We are seeking a highly skilled Senior Data Engineer to join our team. As a key member of our data engineering group, you will be responsible for designing and developing scalable data pipelines using industry-leading technologies.
Our ideal candidate has hands-on experience with Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Apache Kafka, SQL, Python, and Spark. You will work closely with cross-functional teams to design and implement data transformation frameworks that enable analytics, reporting, and business intelligence capabilities across the enterprise.
Key Responsibilities:
- Design and build large-scale ETL/ELT pipelines using Azure Data Factory (ADF) and Azure Synapse Analytics.
- Develop and optimize PySpark/Spark SQL jobs for batch and streaming data transformations.
- Ingest data from various sources including Apache Kafka, REST APIs, and RDBMS, ensuring real-time availability.
- Implement data modeling strategies 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.
- Participate in sprint ceremonies and contribute to task estimation and delivery planning.
Must-Have Skills:
- 5+ years of experience in data engineering roles.
- Hands-on experience with Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Apache Kafka, SQL, Python, and Spark.
- Exposure to CI/CD practices (Azure DevOps, Git workflows, build/release pipelines).
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