Senior Data Engineer

Oceaneering

Chandigarh

On-site

INR 1,500,000 - 3,000,000

Full time

14 days+
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Job summary

Oceaneering India Center seeks a Senior Data Engineer to design, develop, and optimize scalable data solutions on the Microsoft Fabric platform. You will lead data pipelines, lakehouse architectures, and data integration frameworks to support enterprise analytics, reporting, and AI initiatives.

You will mentor junior engineers, drive data governance and platform modernization, and collaborate with stakeholders across IT and business units to deliver reliable, high-quality data products.

Qualifications

  • Bachelor's degree in CS/IS/Engineering or related field.
  • 5+ years of data engineering, data integration, or data platform development.
  • Hands-on with Microsoft Fabric, Azure Data Services or equivalent.

Responsibilities

  • Design, develop, and maintain scalable data pipelines using Microsoft Fabric and Lakehouse architectures.
  • Lead data integration from enterprise apps, databases, APIs, cloud services, and third-party systems into OneLake.
  • Architect and implement Bronze/Silver/Gold data models and data transformation frameworks.

Skills

Data engineering
Microsoft Fabric
Azure Data Services
Data pipelines
Lakehouse

Education

Bachelor's degree in CS/IS/Engineering

Tools

Data Factory
Spark Notebooks
OneLake
CI/CD

Job description

Job Description

The Senior Data Engineer is responsible for designing, developing, and optimizing scalable data solutions on the Microsoft Fabric platform. This role leads the development of data pipelines, Lakehouse architectures, and data integration frameworks to support enterprise analytics, reporting, and AI initiatives. The individual collaborates closely with business stakeholders, architects, and analytics teams to deliver reliable, high-quality data products. The role also drives data governance, performance optimization, and best practices while mentoring junior engineers and contributing to data platform modernization, automation, and continuous improvement initiatives across the organization.

Responsibilities
  • Design, develop, and maintain scalable, secure, and high-performance data pipelines using Microsoft Fabric, Data Factory, Spark Notebooks, and Lakehouse architectures.
  • Lead the integration of structured and unstructured data from enterprise applications, databases, APIs, cloud services, and third-party systems into OneLake.
  • Architect and implement Medallion (Bronze, Silver, Gold) data models and data transformation frameworks to support analytics and reporting requirements.
  • Lead data migration and modernization initiatives from legacy platforms to Microsoft Fabric while ensuring data quality, governance, and business continuity.
  • Optimize Fabric workloads, Spark processing, Warehouse queries, and storage utilization to improve performance and reduce operational costs.
  • Collaborate with Data Architects, BI Developers, Business Analysts, and business stakeholders to translate requirements into scalable technical solutions.
  • Develop and maintain reusable frameworks, accelerators, and automation solutions to improve engineering productivity.
  • Monitor and troubleshoot production data pipelines and proactively address performance, reliability, and scalability issues.
  • Create and maintain technical documentation, architecture diagrams, operational runbooks, and solution designs.
  • Support advanced analytics, AI, and machine learning initiatives by building and maintaining curated data assets.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field.
  • 5+ years of experience in data engineering, data integration, or data platform development.
  • At least 2+ years of hands-on experience with Microsoft Fabric, Azure Data Services, or equivalent cloud data platforms.
Preferred Qualifications
  • Microsoft Fabric Data Engineer Associate (DP-700) certification.
  • Experience with enterprise-scale data modernization and migration projects.
  • Experience working in Agile/Scrum delivery environments.
  • Experience with DevOps, CI/CD, and Infrastructure as Code practices.
About Oceaneering

Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. We develop products and services for use throughout the lifecycle of an offshore oilfield, from drilling to decommissioning. We operate the world's premier fleet of work class ROVs. Additionally, we are a leader in offshore oilfield maintenance services, umbilicals, subsea hardware, and tooling. We also use applied technology expertise to serve the defense, material handling, aerospace, science, and renewable energy industries.

About the Team

Since year 2003, Oceaneering’s India Center has been an integral part of operations for Oceaneering’s robust product and service offerings across the globe. This center caters to diverse business needs, from oil and gas field infrastructure, subsea robotics to automated material handling & logistics.

Our multidisciplinary team offers a wide spectrum of solutions, encompassing Subsea Engineering, Robotics, Automation, Control Systems, Software Development, Asset Integrity Management, Inspection, ROV operations, Field Network Management, Graphics Design & Animation, and more.

In addition to these technical functions, Oceaneering India Center plays host to several crucial business functions, including Finance, Supply Chain Management (SCM), Information Technology (IT), Human Resources (HR), and Health, Safety & Environment (HSE).

Our world class infrastructure in India includes modern offices, industry-leading tools and software, equipped labs, and beautiful campuses aligned with the future way of work. Oceaneering in India as well as globally has a great work culture that is flexible, transparent, and collaborative with great team synergy.

At Oceaneering India Center, we take pride in "Solving the Unsolvable" by leveraging the diverse expertise within our team. Join us in shaping the future of technology and engineering solutions on a global scale.

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