Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world.
A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary.
Job Description
To support our extraordinary teams who build great products and contribute to our growth, we're looking to add a Senior Data Engineer Grade 26 - Data Processing, Analysis & Support Troubleshooting in India.
This role will lead data processing, analysis, and troubleshooting activities for support tickets and production data issues across Future Factory solutions. The role will drive root cause analysis, improve data reliability, and strengthen monitoring, documentation, and preventive controls for data engineering operations.
What a typical day looks like:
- Lead investigation and resolution of complex data support tickets related to data pipelines, transformations, quality issues, reporting discrepancies, and integration failures.
- Analyze logs, queries, data flows, source-to-target mappings, refresh schedules, and integration dependencies to identify root causes.
- Define corrective actions, preventive controls, monitoring improvements, and repeatable troubleshooting playbooks for recurring data issues.
- Collaborate with solution managers, architects, application teams, support teams, and business stakeholders to build data pipelines, transformation of data & Data Mapping.
- Review and guide junior engineers on data validation, ticket analysis, RCA preparation, documentation, and operational support practices.
- Support production deployments, stabilization, data quality governance, performance tuning, and continuous improvement of assigned data processes.
The experience we're looking to add to our team:- Education: Bachelor's Degree in Computer Science, Information Technology, Data Engineering, Engineering, Statistics, or a related discipline.
- Experience: 5+ years in data engineering, ETL/ELT, SQL development, production support, data analysis, data integration, or related roles.
- Strong knowledge of SQL, data modeling, data transformation, pipeline monitoring, data quality checks, APIs, and troubleshooting production data issues.
- Experience performing root cause analysis, incident resolution, ticket governance, operational documentation, and support handoff activities.
- Ability to guide junior engineers, coordinate with cross-functional teams, and communicate technical findings clearly to stakeholders.
- Experience with cloud data platforms, enterprise data warehouses, dashboards, manufacturing data, or analytics environments is preferred.
What you'll receive for the great work you provide:CF17
Job CategoryIT
Flex pays for all costs associated with the application, interview or offer process, a candidate will not be asked for any payment related to these costs.
Flex does not accept unsolicited resumes from headhunters, recruitment agencies or fee based recruitment services. Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. Flex does not discriminate in employment opportunities or practices based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status or any other status protected by law. Flex provides reasonable accommodation so that qualified applicants with a disability may participate in the selection process. Please advise us of any accommodations you request to express interest in a position by e-mailing: accessibility@flex.com . Please state your request for assistance in your message. Only reasonable accommodation requests related to applying for a specific position within Flex will be reviewed at the e-mail address. Flex will contact you if it is determined that your background is a match to the required skills required for this position. Thank you for considering a career with Flex.
