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Persistent Systems

<div>
 
 
 About Position:
 
 
 
 
 
 
 We are looking for Data Engineer with Power BI experience, Good hands on DAX and azure Synapse.
 
 
 
 
 <ul>
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 Role: Data Engineer
 
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 Location: All persistent location
 
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 Experience: 5+ Years
 
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 Job Type: Full Time Employment
 
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 </ul>
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 <ul>
 <li>
 Databricks: Proficient in building scalable data pipelines and notebooks.
 </li>
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 Azure Data Factory (ADF): Experience in orchestrating data workflows and integrating diverse data sources.
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 Azure Synapse Analytics: Strong understanding of data warehousing, distributed querying, and performance optimization.
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 </ul>
 
 
 
 
 
 Expertise You'll Bring:
 
 
 
 
 
 <ul>
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 Hands on experience in Azure data factory
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 Good Knowledge about DataBricks
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 Experience in Power BI , DAX queries, SQL
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 Good command over English communication (Mandatory)
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 </ul>
 
 
 
 
 
 Benefits:
 
 
 
 
 
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 Competitive salary and benefits package
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 Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
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 Opportunity to work with cutting-edge technologies
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 Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
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 Annual health check-ups
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 Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
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 </ul>
 
 
 
 
 
 Values-Driven, People-Centric &amp; Inclusive Work Environment:
 
 
 
 
 
 
 Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
 
 
 
 
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 We support hybrid work and flexible hours to fit diverse lifestyles.
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 Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
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 If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
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 </ul>
 
 
 
 
 
 Let&rsquo;s unleash your full potential at Persistent - persistent.com/careers
 
 
 
 
 
 
 
 
 &ldquo;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&rdquo;
 
 
 
</div>

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>
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 Build and maintain Spark-based pipelines
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 Write SQL queries for transformations, validations, and profiling
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 Support debugging, optimization, and deployment activities
 </li>
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 Participate in Agile ceremonies and deliver sprint commitments
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 3&ndash;5 years of Data Engineering experience
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 Hands-on Spark experience (Scala/Python/Java)
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 Strong SQL fundamentals
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 Familiarity with Hadoop, Hive, and distributed data ecosystems
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 Strong motivation to learn and grow
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 </ul>
</div>

Quantum Integrators

<div>
 
 
 Role: Data Engineer
 
 
 
 
 Location: Pune/Nagpur
 
 
 
 
 Notice Period: Up to 30 days
 
 
 
 
 Shift Timing: UK Shift
 
 
 
 
 Job Description:
 
 
 
 As part of our expanding GenAI &amp; Data Engineering initiatives, we&rsquo;re looking for a Data Engineer to join our team in Pune and work on enterprise-scale GenAI projects, including clients in regulated industries (Pharma, Life Sciences, Banking).
 
 
 
 
 
 
 What you&rsquo;ll work on:
 
 
 <ul>
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 Design, build, and maintain scalable data pipelines supporting AI and GenAI use cases
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 Work on modern data platforms (data lakes, lakehouse, streaming, Event hub like Kafka, containers, K8s)
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 Enable high-quality, compliant data for analytics, ML, and GenAI workloads
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 Collaborate closely with AI/ML and GenAI teams (RAG, embeddings, agents)
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 Ensure data security, governance, and regulatory compliance in delivery
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 </ul>
 
 
 
 
 
 What we&rsquo;re looking for:
 
 
 <ul>
 <li>
 3&ndash;5 years of experience in Data Engineering
 </li>
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 Strong hands-on skills in SQL and Python
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 DevOps experience will be a huge plus
 </li>
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 Experience with cloud-based data platforms (AWS / Azure / GCP), Any cloud Architect certification will be preferred (even at Associate level but not practitioner)
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 Understanding of data modeling, ETL/ELT, orchestration, and performance tuning
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 Exposure to regulated environments (Pharma GxP, Life Sciences, BFSI, Healthcare) is a strong plus
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 Good communication skills and ability to work in a global delivery model.
 </li>
 </ul>
 
 
</div>

DoorDash

<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
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 Help accelerate the adoption of the data discovery platform by building integrations across online, analytics platforms and promoting self-serve
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 Come up with solutions for scaling data systems for various business needs
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 Collaborate in a dynamic startup environment
 
 
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 </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
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 2+ years of experience with CS fundamental concepts and experience with at least one of the programming languages of Scala, Java, and Python
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 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
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 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>
 <ul>
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 5 - 9 years of professional experience as a Data Analyst with good decision-making, analytical and problem-solving skills.
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 Working knowledge / experience of Big Data frameworks like Hadoop, Hive and Spark.
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 Hands-on experience in query languages like HQL or SQL (Spark SQL) for Data exploration.
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 Data mapping: Determine the data mapping required to join multiple data sets together across multiple sources.
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 Documentation - Data Mapping, Subsystem Design, Technical Design, Business Requirements.
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 Exposure to Logical to Physical Mapping, Data Processing Flow to measure the consistency, etc.
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 Data Asset design / build: Working with the data model / asset generation team to identify critical data elements and determine the mapping for reusable data assets.
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 Understanding of ER Diagram and Data Modeling concepts
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 Exposure to Data quality validation
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 Exposure to Data Management, Data Cleaning and Data Preparation
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 Exposure to Data Schema analysis.
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 Exposure to working in Agile framework.
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 SQL, Pyspark, Python with Wholesale Banking Domain knowledge / Credit &amp; Lending domain knowledge.
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 Knowledge of Credit Risk Frameworks such as Basel II, III, IFRS 9 and Stress Testing and understanding their drivers - advantageous
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 Retail Credit / Traded Credit knowledge - applications will be considered.
 
 
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 </ul>
 
 Good To Have
 
 
 
 <ul>
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 BFSI Domain knowledge
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 Data Visualization - Tableau or Qlik Sense
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 Exposure to Hadoop, Hive and ETL.
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 Working knowledge of any cloud services like AWS or GCP or Azure.
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 Any relevant certifications would be a plus.
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 </ul>
</div>

Data Analyst-Data Management and Analytics-Data Ops/Data Analyst

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)
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 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>
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 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
 
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 Perform
 
 end-to-end Exploratory Data Analysis (EDA)
 
 to identify trends, anomalies, and insights.
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 Build, validate, and deploy
 
 machine learning models
 
 (supervised and unsupervised).
 </li>
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 Develop
 
 feature engineering logic
 
 , model training pipelines, and performance monitoring processes.
 </li>
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 Work with business and technical stakeholders to define analytical problems and deliver data-driven solutions.
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 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

Explore 176+ Big data engineer in Pune this December. Find roles across top companies and apply now to boost your career.

176 big data engineer jobs IN Pune

Data Engineer

Data Engineer

Data Engineer

Software Engineer, Backend

Software Engineer, Backend

Data Analyst-Data Management and Analytics-Data Ops/Data Analyst

Senior Data Engineer & Data Scientist