Added 7 Nov 2026 · Engineering
Job description
Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Machine Learning Operations
Good to have skills : Amazon Web Services (AWS)
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
AI Powered Tech Talent
As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role requires creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing extract, transform, and load processes to facilitate seamless migration and deployment of data across various systems, enabling smooth data flow and accessibility for organizational needs.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the development and optimization of data workflows to enhance system performance and reliability.
- Facilitate knowledge sharing and mentorship within the team to support continuous learning and growth.
- Coordinate with stakeholders to align data engineering efforts with business objectives and project requirements.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning Operations.
- Good To Have Skills: Experience with Amazon Web Services (AWS).
- Strong understanding of data pipeline architecture and orchestration tools.
- Experience in designing scalable and robust ETL processes.
- Familiarity with data storage solutions and data integration techniques.
- Ability to troubleshoot and optimize data workflows for performance and reliability.
Additional Information:
- The candidate should have minimum 7 years of experience in Machine Learning Operations.
- This position is based at our BDC11 - SEZ office.
- A 15 years full time education is required.
15 years full time education Important Notice
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Pay, skills & work eligibility
Compensation
A clear compensation amount was not identified. Ask the employer for the range, currency, pay period and whether it covers base pay or total compensation.
Location, eligibility & working hours
- Listed work location
- Bengaluru, India
- Visa sponsorship
- Not stated clearly
- Relocation support
- Not stated clearly
- Working hours / time zone
- Not stated clearly
- Work authorization wording
- All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by
Remote does not automatically mean work from any country. A location match does not confirm work authorization, sponsorship or relocation eligibility.
Requirements at a glance
Experience mentioned: 7+ years
Named skills identified in the listing. A mention is not always a requirement; read the full description and employer conditions.
Location & work arrangement
Listed work locations
- Bengaluru, India