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Data Management Engineer

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Onsite

Data Management Engineer

ExxonMobil India Careers

Data Management Engineer

Skills

SQL QueriesPythonData VisualizationSnowflakeDatadogData AnalysisMachine LearningAWSGitHubSAP ERPSystem & Network AdministrationServiceNowProcess ImprovementPower BIAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

28 August 2026

What they need


ExxonMobil’s affiliates in India ExxonMobil’s affiliates have offices in India in Bengaluru, Mumbai and the National Capital Region.

ExxonMobil’s affiliates in India supporting the Product Solutions business engage in the marketing, sales and distribution of performance as well as specialty products across chemicals and lubricants businesses. The India planning teams are also embedded with global business units for business planning and analytics.

ExxonMobil’s LNG affiliate in India supporting the upstream business provides consultant services for other ExxonMobil upstream affiliates and conducts LNG market-development activities.

The Global Business Center - Technology Center provides a range of technical and business support services for ExxonMobil’s operations around the globe.

ExxonMobil strives to make a positive contribution to the communities where we operate, and its affiliates support a range of education, health and community-building programs in India. Read more about our Corporate Responsibility Framework.

To know more about ExxonMobil in India, visit ExxonMobil India and the Energy Factor India.

What Role You Will Play In Our Team We are seeking a Data Management Engineer to support, administer, and enhance enterprise data management platforms and solutions. The ideal candidate will have experience in data governance, metadata management, master data management (MDM), cloud technologies, and enterprise applications. This role involves supporting platforms such as ER/Studio, EnterWorks, Collibra Data Catalog, Collibra Data Quality, and SAP MDG , while partnering with global teams across multiple regions and time zones.

The successful candidate will be responsible for system administration, platform upgrades, troubleshooting, monitoring, automation, and continuous improvement initiatives. They will work closely with business users, technical teams, and vendors to ensure reliable, secure, and high-performing data management solutions. A strong foundation in data management principles, cloud infrastructure, scripting, and analytical problem-solving is essential for success in this role.

What You Will Do

  • Administer, support, and enhance enterprise data management platforms including ER/Studio, EnterWorks, Collibra, and SAP MDG.
  • Coordinate and execute platform upgrades, installations, patches, and system maintenance activities.
  • Monitor application health and performance using tools such as DataDog and proactively address issues.
  • Troubleshoot and resolve system, application, and user-related issues in collaboration with vendors and support teams.
  • Apply data management, governance, metadata, and master data management best practices to business solutions.
  • Develop automation and process improvements using scripting and tools such as Python and GitHub Actions.
  • Create and maintain technical, support, and security documentation.
  • Provide technical guidance, knowledge transfer, and user training as required.
  • Collaborate effectively with global teams while leveraging Agile methodologies to deliver business value.

About You

  • 3–7 years of experience in Data Management, Application Support, Platform Administration, or related roles.
  • Experience with ER/Studio, EnterWorks, Collibra Data Catalog, Collibra Data Quality, SAP MDG, or similar data management solutions.
  • Strong knowledge of SQL, Windows Server, APIs, cloud platforms (Azure and AWS), infrastructure, GitHub, and DataDog.
  • Understanding of data governance, metadata management, data quality, and master data management concepts.
  • Experience with automation and scripting tools such as Python, PowerShell, and GitHub Actions is preferred.
  • Nice to have: SAP, Snowflake, Power BI, ServiceNow, Data & Process Modeling.
  • Strong troubleshooting, analytical, and process improvement skills.
  • Excellent verbal and written communication skills with the ability to work across global teams and stakeholders.

Your Benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life.

We offer you:

  • Competitive compensation
  • Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits
  • Retirement benefits
  • Global networking & cross-functional opportunities
  • Annual vacations & holidays
  • Day care assistance program
  • Training and development program
  • Tuition assistance program
  • Workplace flexibility policy
  • Relocation program
  • Transportation facility

Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines.

Stay connected with us

  • Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India.
  • Follow us on LinkedIn and Instagram
  • Like us on Facebook
  • Subscribe our channel at YouTube

EEO Statement ExxonMobil is an Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status.

Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil.

Functional Skills

Applied Software Engineering for Data

Data Architecture & Strategy

Data Integration

Data Management

Data Visualization

Data Modeling

Machine Learning

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