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data engineer

Capco

<div>
 
 About Us
 
 
 
 
 &ldquo;Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar &amp; Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
 
 
 
 
 WHY JOIN CAPCO?
 
 
 
 
 You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
 
 
 
 
 MAKE AN IMPACT
 
 
 
 
 Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
 
 
 
 
 #BEYOURSELFATWORK
 
 
 
 
 Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
 
 
 
 
 CAREER ADVANCEMENT
 
 
 
 
 With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
 
 
 
 
 DIVERSITY &amp; INCLUSION
 
 
 
 
 We believe that diversity of people and perspective gives us a competitive advantage.
 
 
 
 
 MAKE AN IMPACT
 
 
 
 
 Data Engineer
 
 
 
 
 Location:
 
 Pune/Bangalore
 
 
 
 Experience Range:
 
 3&ndash;5 years
 
 
 
 Role Overview
 
 
 
 The Data Engineer supports the development and maintenance of ingestion, transformation, and validation pipelines under the guidance of senior engineering leads.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build and maintain Spark-based pipelines
 </li>
 <li>
 Write SQL queries for transformations, validations, and profiling
 </li>
 <li>
 Support debugging, optimization, and deployment activities
 </li>
 <li>
 Participate in Agile ceremonies and deliver sprint commitments
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 3&ndash;5 years of Data Engineering experience
 </li>
 <li>
 Hands-on Spark experience (Scala/Python/Java)
 </li>
 <li>
 Strong SQL fundamentals
 </li>
 <li>
 Familiarity with Hadoop, Hive, and distributed data ecosystems
 </li>
 <li>
 Strong motivation to learn and grow
 </li>
 </ul>
</div>

Data Engineer

Keyrus

<div>
 
 
 The Role:&nbsp;
 
 
 
 
 Keyrus is seeking a&nbsp;
 
 
 Senior Data Engineer &amp; Data Scientist
 
 
 to design, build, and optimise cloud-native data platforms in Azure. You will work across modern data architectures, build scalable data solutions, and collaborate with multidisciplinary teams to drive data excellence and platform innovation.
 
 
 
 <ul>
 <li>
 
 Location:
 
 Hybrid &ndash; Pune, India (3 days onsite)
 </li>
 <li>
 
 Target Start:
 
 January 2026
 </li>
 <li>
 
 Compensation:
 
 ₹30,00,000 &ndash; ₹42,00,000 INR
 </li>
 </ul>
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 
 Data Engineering
 
 </li>
 <li>
 Design, build, and optimise
 
 cloud-native ingestion, transformation, and enrichment pipelines
 
 using Azure (ADF, Databricks, Synapse).
 </li>
 <li>
 Implement
 
 data joins, validation frameworks, profiling, and quality checks
 
 to ensure analytics-ready datasets.
 </li>
 <li>
 Engineer
 
 scalable feature pipelines
 
 and reusable data products for advanced analytics and ML workloads.
 </li>
 <li>
 Maintain data quality, lineage, and metadata in collaboration with Data Governance teams.
 </li>
 <li>
 Contribute to automated deployment workflows using
 
 DevOps/CI/CD
 
 , GitHub Actions, Terraform, and related tools.
 </li>
 <li>
 
 Data Science
 
 </li>
 <li>
 Perform
 
 end-to-end Exploratory Data Analysis (EDA)
 
 to identify trends, anomalies, and insights.
 </li>
 <li>
 Build, validate, and deploy
 
 machine learning models
 
 (supervised and unsupervised).
 </li>
 <li>
 Develop
 
 feature engineering logic
 
 , model training pipelines, and performance monitoring processes.
 </li>
 <li>
 Work with business and technical stakeholders to define analytical problems and deliver data-driven solutions.
 </li>
 <li>
 Communicate analytical insights and model outcomes to technical and non-technical audiences.
 </li>
 <li>
 
 Analytics &amp; Visualisation
 
 </li>
 <li>
 Build dashboards and analytical visuals using
 
 Power BI, Tableau
 
 , or similar tools.
 </li>
 <li>
 Present data findings and insights in a clear, accessible narrative.
 </li>
 </ul>
 
 
 
 
 
 What we're looking for in our applicants:&nbsp;
 
 
 <ul>
 <li>
 
 10+ years
 
 of hands-on experience in data engineering within enterprise or cloud-native environments.
 </li>
 <li>
 Proven experience building
 
 production-grade data pipelines
 
 on Azure (Azure Data Factory, Databricks, Synapse, or equivalent).
 </li>
 <li>
 Strong proficiency in
 
 Python
 
 for data engineering, automation, and pipeline development.
 </li>
 <li>
 Deep understanding of
 
 data lake/data warehouse architectures
 
 and modern data platform patterns.
 </li>
 <li>
 Extensive experience with
 
 data migration
 
 , integration of distributed data sources, and handling large-scale datasets.
 </li>
 <li>
 Skilled in
 
 DevOps/CI/CD
 
 , Agile delivery, and automated deployment workflows.
 </li>
 <li>
 Experience collaborating with Data Governance, Cloud Engineering, and Product teams.
 </li>
 <li>
 Previous experience with
 
 Snowflake
 
 is a plus.
 </li>
 <li>
 Excellent communication skills with the ability to articulate complex technical concepts clearly.
 </li>
 </ul>
 
 
 
 
 
 Why Keyrus?
 
 
 
 Joining Keyrus means joining a market leader in the Data Intelligence field and an (inter)national player in Management Consultancy and Digital Experience.
 
 
 You will be part of a young and ever learning enterprise with an established international network of thought leading professionals driven by bridging the gap between innovation and business. You get the opportunity to meet specialised and professional consultants in a multicultural ecosystem.
 
 
 Keyrus gives you the opportunity to showcase your talents and potential, to build up experience through working with our&nbsp;clients, with the opportunity to grow depending on your capabilities and affinities, in a great working and dynamic atmosphere.&nbsp;
 
 
 
 
</div>

Senior Data Engineer & Data Scientist

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment.
 
 
 The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world&rsquo;s technology leader. Come to IBM and make a global impact
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Responsible to manage end to end feature development and resolve challenges faced in implementing the same
 </li>
 <li>
 Learn new technologies and implement the same in feature development within the time frame provided
 </li>
 <li>
 Manage debugging, finding root cause analysis and fixing the issues reported on Content Management back end software system
 </li>
 <li>
 fixing the issues reported on Content Management back end software system
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Tableau Desktop &amp; Server SQL, Oracle &amp; Hive, Communication Skills, Project Management
 </li>
 <li>
 Multitasking, Collaborative Skills Proven experience in developing and working Tableau driven dashboards, analytics.
 </li>
 <li>
 Ability to query and display large data sets while maximizing the performance of workbook.
 </li>
 <li>
 Ability to interpret technical or dashboard structure and translate complex business requirements to technical
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Tableau Desktop &amp; Server SQL ,Oracle &amp; Hive
 </li>
 </ul>
</div>

Data Engineer-Business Intelligence

DoorDash

<div>
 
 About the Team
 
 
 
 Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. Team serves as the foundation for decision-making at DoorDash.
 
 
 
 About the Role
 
 
 
 DoorDash is looking for a Software Engineer, Data to be a technical powerhouse to help us scale our data reliability, data infrastructure, automation and tools to meet growing business needs.
 
 
 
 You're excited about this opportunity because you will&hellip;
 
 
 
 <ul>
 <li>
 Own critical data systems that support multiple products/teams
 </li>
 <li>
 Develop, implement and enforce best practices for data infrastructure and automation
 </li>
 <li>
 Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
 </li>
 <li>
 Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services
 </li>
 <li>
 Manage a portfolio of data products that deliver high-quality, trustworthy data
 </li>
 <li>
 Help onboard and support other engineers as they join the team
 
 
 </li>
 </ul>
 
 We're excited about you because&hellip;
 
 
 
 <ul>
 <li>
 3+ years of professional experience
 </li>
 <li>
 3+ years experience working in data platform and data engineering or a similar role
 </li>
 <li>
 Proficiency in programming languages such as Python/Kotlin/Scala
 </li>
 <li>
 3+ years of experience in ETL orchestration and workflow management tools like Airflow
 </li>
 <li>
 Expert in database fundamentals, SQL, data reliability practices and distributed computing
 </li>
 <li>
 3+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kafka/Flink/Spark Streaming
 </li>
 <li>
 Excellent communication skills and experience working with technical and non-technical teams and knowledge of reporting tools
 </li>
 <li>
 Comfortable working in fast paced environment, self starter and self organizing
 </li>
 <li>
 Ability to think strategically, analyze and interpret market and consumer information
 </li>
 <li>
 You must be located near one of our engineering hubs indicated above
 
 
 </li>
 </ul>
 Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
 
 
 We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
 
 
 The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
 
 
 
 About DoorDash
 
 
 
 At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users&mdash;from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.
 
 
 DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
 
 
 
 Our Commitment to Diversity and Inclusion
 
 
 
 We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
 
 
 If you need any accommodations, please inform your recruiting contact upon initial connection.
 
 
 
 About DoorDash
 
 
 
 At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users&mdash;from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.
 
 
 DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
 
 
 
 Our Commitment to Diversity and Inclusion
 
 
 
 We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
 
 
 If you need any accommodations, please inform your recruiting contact upon initial connection.
 
 
 
 We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
 
 
 
 
 The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here:
 
 https://getcovey.com/nyc-local-law-144
 
 
 
 To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
 
</div>

Software Engineer, Data Engineer II

<div>
 
 About the Team
 
 
 
 Come help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on experienced engineers to help us further our 24x7, global infrastructure system that powers DoorDash's three-sided marketplace of consumers, merchants, and dashers.
 
 
 
 About the Role
 
 
 
 The Data Tools mission is to build robust data platforms and establish policies that guarantee the analytics data is of high quality, easily accessible/cataloged, and compliant with financial and privacy regulations, fostering trust and confidence in our data-driven decision-making process.
 
 
 We are building the Data Tools team in India and you will have an opportunity to be part of a founding team with a greater opportunity for impact where you can help grow the team and shape the roadmap for the data platform at DoorDash. You will report directly to the Data Tools Engineering Manager.
 
 
 
 
 
 You're excited about this opportunity because you will&hellip;
 
 
 
 <ul>
 <li>
 Work on building a data discovery platform, privacy frameworks, unified access control frameworks, and data quality platform to enable data builders at DoorDash to deliver high-quality and trustable data sets and metrics
 </li>
 <li>
 Help accelerate the adoption of the data discovery platform by building integrations across online, analytics platforms and promoting self-serve
 </li>
 <li>
 Come up with solutions for scaling data systems for various business needs
 </li>
 <li>
 Collaborate in a dynamic startup environment
 
 
 </li>
 </ul>
 
 We're excited about you because&hellip;
 
 
 
 <ul>
 <li>
 B.E./B.Tech., M.E./M.Tech, or Ph.D. in Computer Science or equivalent
 </li>
 <li>
 2+ years of experience with CS fundamental concepts and experience with at least one of the programming languages of Scala, Java, and Python
 </li>
 <li>
 Prior technical experience in Big Data infrastructure &amp; governance - you've built meaningful pieces of data infrastructure. Bonus if those were open-sourced technologies like DataHub, Spark, Airflow, Kafka, Flink
 </li>
 <li>
 Experience improving efficiency, scalability, and stability of data platforms
 
 
 </li>
 </ul>
 We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on June 20, 2024.
 
 
 Please see the independent bias audit report covering our use of Covey here.
 
 
 
 About DoorDash
 
 
 
 At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users&mdash;from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.
 
 
 DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
 
 
 
 Our Commitment to Diversity and Inclusion
 
 
 
 We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
 
 
 If you need any accommodations, please inform your recruiting contact upon initial connection.
 
 
 
 About DoorDash
 
 
 
 At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users&mdash;from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.
 
 
 DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
 
 
 
 Our Commitment to Diversity and Inclusion
 
 
 
 We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
 
 
 If you need any accommodations, please inform your recruiting contact upon initial connection.
 
 
 
 We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
 
 
 
 
 The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here:
 
 https://getcovey.com/nyc-local-law-144
 
 
 
 To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
 
</div>

Software Engineer, Backend

<div>
 Data Scientist
 
 
 Company:** BP Business Sol (HC)
 
 
 
 Job Summary
 
 
 
 We are seeking a highly skilled and analytical Data Scientist to join our team. In this role, you will leverage data to drive strategic business decisions, identify opportunities for improvement, and contribute to the commercial success of BP Business Sol (HC).
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Apply advanced analytical techniques and statistical modeling to extract meaningful insights from complex datasets.
 </li>
 <li>
 Develop and implement predictive models and machine learning algorithms to solve business challenges.
 </li>
 <li>
 Utilize LLM capabilities to build and solve complex business problems.
 </li>
 <li>
 Develop AI assets using Gen AI and Agentic AI framework. Utilize and maintain the existing assets.
 </li>
 <li>
 Design and create compelling data visualizations and interpretations to effectively communicate findings to diverse stakeholders.
 </li>
 <li>
 Collaborate with various business units to understand their needs and translate them into data-driven solutions.
 </li>
 <li>
 Contribute to the identification and assurance of commercial opportunities and risks.
 </li>
 <li>
 Proactively identify areas for digital automation to improve efficiency and data quality.
 </li>
 <li>
 Support financial reporting and analysis through data-driven insights.
 </li>
 <li>
 Manage and contribute to data-related projects, ensuring timely delivery and successful outcomes.
 </li>
 <li>
 Maintain a strong customer-centric approach, ensuring data solutions address user needs and improve their experience.
 </li>
 <li>
 Engage in continuous learning and application of agility core practices in project execution.
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 <ul>
 <li>
 Proven experience in a Data Scientist role, demonstrating strong analytical thinking and problem-solving abilities.
 </li>
 <li>
 Strong expertise in Python programming, Databricks and SQL.
 </li>
 <li>
 Understanding of Microsoft Azure environment and various services.
 </li>
 <li>
 Expertise in Gen AI and Agentic AI frameworks such as Langchain, Langgraph, Llamaindex etc.
 </li>
 <li>
 Proven experience in building Gen AI application.
 </li>
 <li>
 Expertise in data visualization and interpretation, with the ability to convey complex information clearly and concisely.
 </li>
 <li>
 Experience with commercial assurance for external partnerships and projects.
 </li>
 <li>
 Excellent communication and influencing skills, capable of presenting findings to technical and non-technical audiences.
 </li>
 <li>
 Demonstrated creativity and innovation in approaching data challenges and developing novel solutions.
 </li>
 <li>
 Familiarity with Digital Automation tools and techniques.
 </li>
 <li>
 Knowledge of Financial Reporting principles and practices.
 </li>
 <li>
 Experience with Project Management methodologies.
 </li>
 <li>
 Strong understanding and application of Risk Management principles in data-driven projects.
 </li>
 <li>
 Ability to work effectively in an agile environment, demonstrating adaptability and a collaborative spirit.
 </li>
 <li>
 Customer-centric thinking with a focus on delivering value to internal and external stakeholders.
 </li>
 <li>
 Experience in Credit Management is a plus.
 </li>
 </ul>
</div>

Data scientist

Explore 127+ Data engineer in Pune this December. Find roles across top companies and apply now to boost your career.

127 data engineer jobs IN Pune

Data Engineer

Senior Data Engineer & Data Scientist

Data Engineer-Business Intelligence

Software Engineer, Data Engineer II

Software Engineer, Backend

Software Engineer, Backend

Data scientist