Design, develop, and maintain robust ETL processes using tools like IBM DataStage and Databricks to ensure seamless data integration and transformation.
Optimize SQL and PL/SQL queries for high performance, ensuring efficient database operations and data retrieval.
Collaborate with cross-functional teams to understand data requirements and deliver scalable, secure solutions within the Azure ecosystem.
Identify and troubleshoot performance bottlenecks, implementing effective solutions to enhance system efficiency.
Adhere to high-quality coding standards, including writing comprehensive unit tests and following technical specifications throughout the development lifecycle.
What's Needed?
Over 6 years of hands-on experience with ETL tools, preferably IBM DataStage and Databricks.
Proficiency in SQL and PL/SQL development, with a focus on performance tuning and query optimization.
Experience with data visualization tools such as Power BI and familiarity with Power Automate for workflow orchestration is a plus.
Strong understanding of designing, developing, and deploying applications within the Azure cloud environment.
Excellent communication and interpersonal skills, with the ability to work independently and collaboratively across teams