EDW Lead Engineer is responsible for developing, testing, supporting, and administration of data integration/ETL solutions.
Mandatory Requirements Develop, test and support future-ready data solutions for customers across industry verticals.
Develop, test and support end-to-end batch and near real-time data flows/pipelines in data integration/ETL tools.
Demonstrate understanding in data architectures, modern data platforms, big data, ML/AI, analytics, cloud platforms, data governance, and information management and associated technologies.
Develop and demonstrate Proof of Concepts and Working Demos.
Support and collaborate with other internal/external consultants in consulting, workshops, and delivery engagements.
Mentor junior IBM consultants in the practice and delivery engagements.
Required Professional and Technical Expertise Minimum of 5+ years of experience as a solution designer, developer, tester, or support role in IT Consulting or other technology business units across the industry.
Minimum of 3+ years of hands-on development, testing, support & administration experience with data integration/ETL solutions in cloud & on-premise such as Informatica Power Center/IICS, IBM Data Stage & Oracle ODI.
Experience in applying industry best practices, design patterns, and first-of-a-kind technical solutions as developer or administrator on data and non-data specific platforms and applications.
Experience in implementing near real-time data flows/pipelines and distributed streaming applications.
Experience in hands-on development in traditional ETL, data warehousing (Teradata), and BI solutions.
Hands-on development experience and working skill level in Python, Scala, SQL, shell scripting, and other programming/scripting languages.
Hands-on implementation of services sensitive to performance SLAs with high availability, fault-tolerance, automatic fail-over, and geographical redundancy.
Working knowledge and hands-on experience with Cloud Platforms such as Azure, AWS, GCP, IBM, and other modern data platforms.
Solid understanding of containerization, virtualization, infrastructure, and networking.
Diverse experience in software development methodologies and project delivery frameworks such as Agile Sprints, Kanban, Waterfall.
Desired Attributes and Skills Degree in Computer Science, Information Technology, or related Engineering courses.
One or more industry-recognised technology certifications or badges.
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