Data Integration Lead

Description At Sequoia Connect , we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects. We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions. This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong. We are currently searching for a Data Integration Lead - DataStage: The Challenge (Responsibilities) Own and resolve DataStage production incidents and bugs end-to-end, including root-cause analysis, fixes, regression testing, and deployment to production. Implement and test enhancement requests and change requests (CRs) in the DataStage environment following SDLC and release processes. Design, develop, and optimize DataStage jobs and parallel jobs for batch and real-time data integration scenarios. Perform performance tuning of DataStage jobs, database SQL (Oracle), and UNIX processes to meet SLAs. Monitor, troubleshoot, and maintain production ETL pipelines; respond to alerts and follow incident management procedures. Work with Control M (or equivalent schedulers) to design, monitor and maintain job schedules and dependencies; troubleshoot scheduling failures. Your Profile (Requirements) Experienced in IBM InfoSphere DataStage (developer & admin familiarity), including job design, parallel jobs, parameterization, and shared containers. Strong Oracle SQL and PL/SQL skills, with awareness of query tuning, indexes, and partitioning. Solid UNIX/Linux skills, including shell scripting, job logs, file handling, and basic process troubleshooting. Experience with production scheduling using Control M (or similar) involving job definitions, dependencies, calendars, and alerts. Proven experience diagnosing and resolving production ETL issues under SLA pressure. Strong analytical and problem-solving skills; able to trace data flow and isolate defects across systems. Experience with version control, CI/CD/release processes, and deployment across environments. Good written and verbal communication; comfortable in client-facing situations. High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery. Technologist DNA: A deep understanding of the difference between "coding" and "engineering." Desired Snowflake experience is a plus. Familiarity with cloud-native foundations or AI coding assistants. Languages Advanced Oral English: For seamless collaboration with global teams and client-facing situations. Advanced Spanish. Work Arrangement We value flexibility to support your lifestyle. This position is available as: Remote If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page : https://www.sequoia-connect.com/careers/ Requirements IBM InfoSphere DataStage (developer & admin familiarity) Strong Oracle SQL and PL/SQL skills Solid UNIX/Linux skills (shell scripting) Production scheduling with Control M (or similar) Diagnosing and resolving production ETL issues under SLA Experience with version control, CICD/release processes Comfortable in client-facing situations