Lead the design, development, testing, and deployment of complex ETL processes using IBM DataStage.
Develop and optimize data pipelines for efficient data extraction, transformation, and loading from various sources into data warehouses.
Utilize IBM InfoSphere suite of tools for data integration and data quality initiatives.
Collaborate with business analysts, data architects, and other stakeholders to understand data requirements and translate them into technical specifications.
Design and implement effective data models for data warehousing solutions.
Work with Azure Data Factory for cloud-based data integration and orchestration where applicable.
Perform data warehousing design, development, and maintenance activities.
Write and optimize complex SQL queries for data manipulation and analysis.
Develop and maintain scripts for automation and job scheduling in UNIX / Linux environments.
Ensure data quality, integrity, and consistency across all ETL processes.
Provide technical guidance and mentorship to junior developers.
Participate in code reviews and ensure adherence to best practices and coding standards.
Troubleshoot and resolve data-related issues and performance Skills & Qualifications :
8-11 years of hands-on experience as a DataStage Developer.
Proven expertise in IBM DataStage for ETL development.
Strong understanding and experience with ETL methodologies and best practices.
Proficiency in IBM InfoSphere suite of tools.
Extensive experience in designing and implementing data pipelines.
Solid understanding of data modeling concepts and their application in data warehousing.
Experience with Azure Data Factory is highly desirable.
In-depth knowledge of data warehousing principles and architectures.
Advanced SQL skills for data querying, manipulation, and optimization.
Proficiency in UNIX / Linux command-line and scripting.
Excellent problem-solving, analytical, and communication skills.
Ability to work independently and as part of a collaborative team in a hybrid work :