Data engineer Job Openings in Pune 2026!!!
BP announced job vacancy for the post of Data engineer.The place of posting will be at Pune.Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows
Company Overview
| Name of the Company | BP |
| Required Qualifications | Graduate |
| Skills | C#, Python, or TypeScript, JavaScript, React Native |
| Category | Technology |
| Work Type | Onsite |
| Closing Date | 30th June 2026 |
A data engineer designs, constructs, installs, tests, and maintains highly scalable data management systems. They are responsible for building the infrastructure that allows for the generation, collection, and analysis of large datasets. Key responsibilities include developing, constructing, testing, and maintaining architecture such as databases and large-scale processing systems, ensuring that architectures support data analytics, and preparing data for prescriptive and predictive modeling. Data engineers also develop data set processes for data modeling, mining, and production, integrate new data management technologies and software engineering tools into existing structures, and collaborate with data scientists and analysts to ensure data accuracy and accessibility. They play a critical role in enabling the data-driven decision-making process by ensuring that data pipelines are robust, efficient, and scalable.
Job Details
Θ Positions: Data engineer
Θ Job Location: Pune
Θ Salary: As per company standards
Θ Job Type: Full Time
Θ Requisition ID: RQ111886
Roles and Responsibilities:
- Part of a cross-disciplinary team, working closely with other data engineers, software engineers, data scientists, data managers and business partners.
- Implements and maintains reliable and scalable data infrastructure to move, process and serve data.
- Writes, deploys and maintains software to build, integrate, manage, and maintain customer facing use cases
- Writes, deploys and maintains software to build, integrate, manage, maintain, and quality-assure data at bp.
- Adheres to and advocates for software engineering best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation), code reuse).
- Adheres to and advocates for data engineering best practices (e.g. data modeling, pipeline idempotency, operational observability)
- Responsible for deploying secure and well-tested software and data-assets that meet privacy and compliance requirements; develops, maintains and improves CI / CD pipeline,
- Responsible for service reliability and following site-reliability engineering best practices: on-call rotations for services they maintain, responsible for defining and maintaining SLAs. Help design, build, deploy and maintain infrastructure as code. Containerizes server deployments.
- Actively contributes to improving developer velocity.
Required Skills & Qualifications:
- Hands on experience Palantir Foundry development including good exposure to the ontology framework, and experience developing applications which extend the capabilities of the foundry platform
- Hands-on experience designing, planning, building, productionizing, maintaining and documenting reliable and scalable data infrastructure and data products in complex environments
- Hands on experience in at least one programming language (C#, Python, or TypeScript, JavaScript, React Native) developing cross-platform solutions.
- Hands on experience with Foundry including ontology delivery, data integration, secure data handling,pipeline building using pipeline builder and code repository (PySpark), Workshop Design
- Hands-on experience in data engineering and data pipelines
- Experience with SQL and noSQL database fundamentals, query structures and design best practices, including scalability, readability, and reliability
- Experience implementing large-scale distributed systems in collaboration with more senior team members
- Knowledge and hands-on experience in technologies across all data lifecycle stages
- Strong verbal and written communication skills
- Continuous learning and improvement mindset
- BS degree in computer science or related field or equivalent knowledge and experience
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