Senior Data Engineer – Datastage

Systech is a modern Data and Analytics consulting firm, helping clients embed data-driven capabilities into their business operations. We offer end-to-end data engineering services and outcomes-based analytics solutions, to drive your business forward in the digital age. Systech has over 30 years of experience, delivering 1500+ projects to industry-leading brands across the world.

Job Title : Senior Data Engineer – Datastage

Job ID : JD

Job Description : We are looking for a skilled and experienced Data Engineers to join our team As part of the team, you will be involved in the implementation of the ongoing and new initiatives for our company. If you love learning, think strategically, and innovate, and helping others, this job is for you Senior Data Engineer specializing in IBM DataStage, responsible for designing, developing, and managing the ETL processes and data infrastructure. Play a critical role to ensure the smooth flow, transformation, and integration of data from various sources to data warehouse or data lake.

Additional Requirement :Minimum 6 years of experience in Data Engineering with strong expertise in ETL/ELT development using IBM DataStage.

Prior onsite and client-facing experience in managing requirements and project delivery.

Certifications in IBM DataStage or related data engineering technologies are desirable.

Technology (Primary) : Datastage

Technology (Secondary) : Data & Analytics Concepts, ETL & Performance Testing, IBM DB2

Role Name : Senior Data Engineer

Role Description : We are looking for a Senior Data Engineer to lead the design, development, and management of scalable data platforms and pipelines. This role demands a strong technical foundation in data architecture, big data technologies, and database systems (both SQL and NoSQL), along with the ability to work across functional teams to deliver robust, secure, and high-performing data solutions.

Role Responsibility :

• Design, develop, and maintain end-to-end data pipelines and infrastructure.
• Translate business and functional requirements into scalable, well-documented technical solutions.
• Build and manage data flows across structured and unstructured data sources, including streaming and batch integrations.
• Ensure data integrity and quality through automated validations, unit testing, and robust documentation.
• Optimize data processing performance and manage large datasets efficiently.
• Monitor and optimize ETL workflows to ensure performance, scalability, and reliability.
• Collaborate closely with stakeholders and project teams to align data solutions with business objectives.
• Implement and maintain security and privacy protocols to ensure safe data handling.
• Lead development environment setup and configuration of tools and services.
• Mentor junior data engineers and contribute to continuous improvement and automation initiatives.
• Coordinate with QA and UAT teams during testing and release phases.

Role Requirement :

• Strong proficiency in SQL (including procedures, performance tuning, and analytical functions).
• Solid understanding of data warehousing concepts, including dimensional modeling and SCDs.
• Hands-on experience with scripting languages (Shell / PowerShell).
• Familiarity with Cloud and Big data technologies.
• Experience working with relational, non-relational databases, and data streaming systems.
• Proficiency in data profiling, validation, and testing practices.
• Excellent problem-solving, communication (written and verbal), and documentation skills.
• Exposure to Agile methodologies and CI/CD practices.
• Self-motivated, adaptable, and capable of working in a fast-paced environment.

Qualified applicants please send resumes to: Systech Solutions, Inc.