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data engineer

ZecData Technology

<p><b>Job Description: Data Engineer</b></p><p><b>Position:</b> Data Engineer<br/><b>Location:</b> Indore<br/><b>Experience:</b> 0-7<br/><b>Employment Type:</b> Full-Time</p><p><b>Job Summary:</b></p><p>We are looking for a skilled Data Engineer to design, develop, and maintain data pipelines, ensuring efficient data processing, storage, and retrieval for business analytics and decision-making. The ideal candidate will have strong experience in working with large-scale data systems, ETL processes, and cloud-based platforms.</p><p><b>Key Responsibilities:</b></p><ul><li><b>Data Pipeline Development:</b></li><li>Design, build, and maintain scalable, reliable, and efficient data pipelines to process and integrate data from various sources.</li><li>Ensure the timely and accurate flow of data across systems.</li><li><b>Data Architecture:</b></li><li>Develop and optimize data models and architectures for data warehouses, data lakes, and databases.</li><li>Collaborate with data scientists, analysts, and other stakeholders to ensure data accessibility.</li><li><b>ETL/ELT Processes:</b></li><li>Design and implement ETL/ELT workflows to extract, transform, and load data from diverse sources into target systems.</li><li>Monitor and troubleshoot ETL processes to maintain data integrity.</li><li><b>Data Governance:</b></li><li>Implement data quality checks, validation processes, and monitoring to ensure accuracy and consistency.</li><li>Ensure compliance with data privacy regulations and organizational policies.</li><li><b>Cloud &amp; Big Data Platforms:</b></li><li>Work with cloud-based tools (AWS, Azure, GCP) and big data technologies (Hadoop, Spark) for data storage and processing.</li><li>Optimize performance and cost-effectiveness of cloud-based data solutions.</li><li><b>Collaboration:</b></li><li>Partner with software engineers, data analysts, and business teams to identify and fulfill data requirements.</li><li>Provide support for ad-hoc data requests and troubleshoot data issues.</li></ul><p><b>Key Skills and Qualifications:</b></p><ul><li><b>Technical Skills:</b></li><li>Proficiency in programming languages such as Python, Java, or Scala.</li><li>Strong knowledge of SQL and database systems (e.g., PostgreSQL, MySQL, MongoDB).</li><li>Hands-on experience with ETL tools (e.g., Apache NiFi, Talend, Informatica).</li><li>Familiarity with big data technologies like Hadoop, Spark, and Kafka.</li><li>Experience with cloud platforms (AWS, GCP, Azure) and related services (e.g., S3, Redshift, BigQuery).</li><li><b>Analytical Skills:</b></li><li>Solid understanding of data modeling and database design principles.</li><li>Ability to analyze and interpret large data sets to solve business problems.</li><li><b>Other Skills:</b></li><li>Strong problem-solving and debugging skills.</li><li>Excellent communication and teamwork abilities.</li><li>A keen eye for detail and commitment to delivering high-quality work.</li></ul><p>Job Types: Full-time, Permanent, Fresher</p><p>Pay: &#8377;25,000.00 - &#8377;50,000.00 per month</p><p>Benefits:</p><ul><li>Cell phone reimbursement</li><li>Paid sick time</li><li>Provident Fund</li></ul><p>Experience:</p><ul><li>total work: 1 year (Preferred)</li></ul><p>Work Location: In person</p>

Data Engineer

SB Infowaves

<p>We are seeking a skilled <b>Data Engineer (Good exposure in Power BI)</b> to design, build, and optimize scalable data pipelines and infrastructure. The ideal candidate will work closely with data analysts, data scientists, and business stakeholders to ensure data is reliable, accessible, and efficient for analytics and decision-making.</p><p><b>Key Responsibilities</b></p><ul><li>Design, develop, and maintain robust <b>ETL/ELT pipelines</b> for structured and unstructured data.</li><li>Build and manage <b>data warehouses, data lakes, and real-time data platforms</b>.</li><li>Ensure <b>data quality, consistency, and security</b> across all data systems.</li><li>Optimize database performance and implement best practices for <b>scalability and reliability</b>.</li><li>Collaborate with data analysts, BI developers, and data scientists to understand data needs.</li><li>Automate workflows, monitoring, and error handling in data pipelines.</li><li>Work with <b>cloud platforms</b> (AWS, Azure, GCP) and modern data tools to deliver end-to-end solutions.</li><li>Implement governance standards and contribute to data documentation.</li></ul><p><b>Required Skills &amp; Qualifications</b></p><ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in <b>Computer Science, Information Systems, or related field</b>.</li><li>Proven experience as a <b>Data Engineer / ETL Developer / Database Engineer</b>.</li><li>Strong knowledge of <b>SQL, Python, and/or Scala/Java</b>.</li><li>Hands-on experience with <b>data integration tools</b> (e.g., Apache Spark, Kafka, Airflow, Talend, Informatica).</li><li>Proficiency in <b>cloud data services</b>: AWS Redshift, Azure Synapse, Google BigQuery, or Snowflake.</li><li>Solid understanding of <b>data modeling, warehousing concepts, and big data technologies</b> (Hadoop, Hive, etc.).</li><li>Experience with <b>CI/CD pipelines, Git, Docker, Kubernetes</b> is a plus.</li><li>Excellent problem-solving, analytical, and communication skills.</li></ul><p>Job Type: Full-time</p><p>Pay: &#8377;600,000.00 - &#8377;900,000.00 per year</p><p>Experience:</p><ul><li>Data Engineer: 3 years (Preferred)</li></ul><p>Work Location: In person</p>

Fusemachines

<div><p><b>About Fusemachines</b></p><p>
Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, United States, Canada, and Dominican Republic and more than 450 full-time employees). Fusemachines seeks to bring its global expertise in AI to transform companies around the world.<br>
<br>
<b>Type: Full-time, Remote</b></p><p><b>
About the role</b></p><p>
This is a remote full-time position responsible for designing, building, testing, optimizing and maintaining the infrastructure and code required for data integration, storage, processing, pipelines and analytics (BI, visualization and Advanced Analytics) from ingestion to consumption, implementing data flow controls, and ensuring high data quality and accessibility for analytics and business intelligence purposes. This role requires a strong foundation in programming, and a keen understanding of how to integrate and manage data effectively across various storage systems and technologies.</p><p>
We are looking for a skilled Data Engineer with a strong background in <b>Python</b>, <b>SQL</b>, <b>Pyspark</b> and <b>AWS</b> cloud-based large scale data solutions with a passion for data quality, performance and cost optimization. The ideal candidate will develop in an Agile environment.</p><p>
This role is perfect for an individual passionate about leveraging data to drive insights, improve decision-making, and support the strategic goals of the organization through innovative data engineering solutions.</p><p><b>
Qualification &amp; Experience</b></p><ul><li>
Must have a full-time Bachelor's degree in Computer Science Information Systems, Engineering, or a related field.</li><li>
At least 2 years of experience as a data engineer with strong expertise in Python, SQL, PySpark and AWS in an Agile environment, with a proven track record of building and optimizing data pipelines, architectures, and datasets, and proven experience in data storage, modeling, management, lake, warehousing, processing/transformation, integration, cleansing, validation and analytics.</li><li>
2+ years of experience with DevOps tools and technologies: GitHub or AWS DevOps.</li><li>
Proven experience delivering large scale projects and products for Data and Analytics, as a data engineer within AWS.</li><li>
Preferred previous experience working with retail or other similar data models.</li><li>
Following certifications:<ul><li>
AWS Certified Cloud Practitioner</li><li>
AWS Certified Data Engineer - Associate</li><li>
Nice to have:<ul><li>
Databricks Certified Associate Developer for Apache Spark</li><li>
Databricks Certified Data Engineer Associate</li></ul></li></ul></li></ul><p><b>
Required skills/Competencies</b></p><ul><li>
Strong programming Skills in one or more object-oriented languages such as <b>Python</b> (must have), Scala, Java, and proficiency in writing high-quality, scalable, maintainable, efficient and optimized code for data integration, storage, processing, manipulation and analytics solutions.</li><li>
Strong <b>SQL</b> skills and experience working with complex data sets, Enterprise Data Warehouse and writing advanced SQL queries. Proficient with Relational Databases (RDS, MySQL, Postgres, or similar) and NonSQL Databases (Cassandra, MongoDB, Neo4j, etc.).</li><li>
Strong analytic skills related to working with structured and unstructured datasets.</li><li>
Thorough understanding of big data principles, techniques, and best practices.</li><li>
Experience with scalable and distributed Data Processing Technologies such as Spark/<b>PySpark</b> (must have including <b>Spark SQL</b>) and <b>Kafka</b>, to be able to handle large volumes of data.</li><li>
Experience with stream-processing systems: Storm, Spark-Streaming, etc. is a plus.</li><li>
Experience in implementing data pipelines and efficient <b>ELT/ETL</b> processes, batch and real-time, in AWS and using open source solutions, being able to develop custom integration solutions as needed, including Data Integration from different sources such as APIs (PoS integrations is a plus), ERP (Oracle and Allegra are a plus), databases, flat files, Apache Parquet, event streaming, including cleansing, transformation and validation of the data.</li><li>
Experience in data cleansing, transformation, and validation.</li><li>
Understanding of <b>Data Modeling</b> and Database Design Principles. Being able to implement efficient database schemas that meet the requirements to support data solutions. With good understanding of dimensional data modeling</li><li>
Knowledge in cloud computing specifically in AWS services related to data and analytics, such as <b>S3</b>, <b>EMR</b>, <b>Glue</b>, SageMaker, <b>RDS</b>, <b>Redshift</b>, <b>Lambda</b>, Kinesis, Lake Formation, EC2, ECS/ECR, EKS, IAM, CloudWatch, etc. implementing Data Warehousing, data lake and data lake house, solutions in AWS.</li><li>
Experience in Orchestration using technologies like Azkaban, Luigi, Airflow, etc..</li><li>
Good understanding of BI solutions including <b>Looker</b> and <b>LookML</b> (Looker Modeling Language)</li><li>
Familiar with advanced analytics, AI/ML services and tools, and the ability to integrate advanced analytics, machine learning, and AI capabilities into data solutions, nice to have.</li><li>
Strong understanding of the software development lifecycle (SDLC), especially <b>Agile methodologies</b>.</li><li>
Knowledge of SDLC tools and technologies, including project management software (Jira or similar), source code management (GitHub, AWS CodeCommit or similar), CI/CD system (GitHub actions, Jenkins, AWS CodePipeline or similar) and binary repository manager (Sonatype Nexus, AWS CodeArtifact or similar).</li><li>
Knowledge and hands-on experience of DevOps principles, tools and technologies (<b>GitHub</b> and <b>AWS DevOps</b>) including continuous integration, continuous delivery (CI/CD), infrastructure as code (IaC &ndash; Terraform), configuration management, automated testing, performance tuning and cost management and optimization.</li><li>
Knowledge of data structures and algorithms and good software engineering practices.</li><li>
Strong analytical skills to identify and address technical issues, performance bottlenecks, and system failures.</li><li>
Proficiency in debugging and troubleshooting issues in complex data and analytics environments and pipelines.</li><li>
Understanding of <b>Data Quality</b> and Governance, including implementation of data quality and integrity checks and monitoring processes to ensure that data is accurate, complete, and consistent.</li><li>
Good Problem-Solving skills: being able to troubleshoot data processing pipelines and identify performance bottlenecks and other issues.</li><li>
Strong interpersonal skills and ability to work with a wide range of stakeholders.</li><li>
Excellent <b>communication</b> skills to collaborate with cross-functional teams, including business users, data architects, DevOps/DataOps/MLOps engineers, data analyst, data scientists, developers, and operations teams. Essential to convey complex technical concepts and insights to non-technical stakeholders effectively.</li><li>
Ability to document processes, procedures, and deployment configurations.</li><li>
Understanding of security practices, including network security groups, encryption, and compliance standards, and ability to implement security controls and best practices within data and analytics solutions, including proficient knowledge and working experience on various cloud security vulnerabilities and ways to mitigate them.</li><li>
Self-motivated with the ability to work well in a team.</li><li>
Strong project management and organizational skills.</li><li>
A willingness to stay updated with the latest services, Data Engineering trends, and best practices in the field.</li><li>
Comfortable with picking up new technologies independently and working in a rapidly changing environment with ambiguous requirements.</li><li>
Care about architecture, observability, testing, and building reliable infrastructure and data pipelines.</li></ul><p><b>
Responsibilities:</b></p><ul><li>
Design, implement, deploy, test and maintain highly scalable and efficient data architectures, defining and maintaining standards and best practices for data management independently with minimal guidance.</li><li>
Ensure systems meet business requirements and industry practices for data integrity, performance, and reliability.</li><li>
Integrate new data management technologies and software engineering tools into existing structures.</li><li>
Create custom software components and analytics applications.</li><li>
Employ a variety of languages and tools to marry systems together or try to hunt down opportunities to improve current processes.</li><li>
Evaluate and advise on technical aspects of open work requests in the data pipeline with the project team.</li><li>
Handle ELT/ETL processes, including data extraction, loading and transformation, from different sources ensuring consistency and quality.</li><li>
Transform and clean data for further analysis and storage.</li><li>
Design and optimize data models and schemas to support business requirements and analysis.</li><li>
Implement monitoring tools and systems to ensure the availability and performance of data systems.</li><li>
Manage data security and access, ensuring confidentiality and integrity.</li><li>
Automate repetitive tasks and processes to improve operational efficiency.</li><li>
Collaborate with data science teams to establish pipelines and workflows for training, validation, deployment, and monitoring of machine learning models. Automate deployment and management of machine learning models in production environments.</li><li>
Contribute to data quality assurance efforts, such as implementing data validation checks and tests to ensure reliability, efficiency, accuracy, completeness and consistency of data.</li><li>
Test software solutions and meet product quality standards prior to release to QA.</li><li>
Ensure the reliability, scalability, and efficiency of data systems are maintained at all times. Identifying and resolving performance bottlenecks in pipelines due to data, queries and processing workflows to ensure efficient and timely data delivery.</li><li>
Work with DevOps teams to optimize resources.</li><li>
Assist in the configuration and management of data warehousing and data lake solutions.</li><li>
Collaborate closely with cross-functional teams including Product, Engineering, Data Scientists, and Analysts to thoroughly understand data requirements and provide data engineering support and extend the company&rsquo;s data with third-party sources of information when needed.</li><li>
Takes ownership of storage layer, database management tasks, including schema design, indexing, and performance tuning.</li><li>
Evaluate and implement cutting-edge technologies and methodologies and continue learning and expanding skills in data engineering and cloud platforms, to improve and modernize existing data systems.</li><li>
Develop, design, and execute data governance strategies encompassing cataloging, lineage tracking, quality control, and data governance frameworks that align with current analytics demands and industry best practices working closely with Data Architect.</li><li>
Ensure technology solutions support the needs of the customer and/or organization.</li><li>
Define and document data engineering architectures, processes and data flows.</li></ul><p><b><i>
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.</i></b></p><p>
</p><p>XudWe5nO8A</p></div>

Accenture

<p><b>Project Role : </b>Data Engineer<br>
<b>Project Role Description : </b>Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
<br>
<b>Must have skills : </b>Google Cloud Platform Architecture<br>
<b>Good to have skills : </b>NA<br>
Minimum <b>3</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems, contributing to the overall efficiency and reliability of data management within the organization. Roles &amp; Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with cross-functional teams to understand data requirements and translate them into technical specifications. - Monitor and optimize data pipelines for performance and reliability. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture. - Strong understanding of data modeling and database design principles. - Experience with data integration tools and ETL processes. - Familiarity with data warehousing concepts and technologies. - Knowledge of programming languages such as Python or Java for data processing. Additional Information: - The candidate should have minimum 3 years of experience in Google Cloud Platform Architecture. - This position is based at our Hyderabad office. - A 15 years full time education is required.</p>
<br>
15 years full time education

TECHBLOCKS

<div><div><b>Role: Data Engineer
</b></div><div><b>Location: New York, NY</b></div><div></div><div><b><br>
Responsibilities</b></div><ul><li>Use the latest technology to build data pipelines and integrate machine learning models
</li><li>Build and expand our data platform
</li><li>Develop applications that run on a Google Cloud-based infrastructure.<br>
</li></ul><div></div><br>
<div><b>Qualifications
</b></div><ul><li>2+ years of experience in Big Data and Data Engineering, building enterprise-level applications in a public cloud, preferably Google Cloud
</li><li>Experience building cloud-native data pipelines using Python, Apache Airflow, Apache Spark, and Apache Beam.
</li><li>Working knowledge of SQL and data warehousing concepts, including PostgreSQL and BigQuery.
</li></ul><div>Optionally, knowledge of Mongo and AlloyDB is a plus.
</div><ul><li>Comfortable using Azure DevOps or similar CI/CD tools, Git.
</li><li>Experience with TDD, agile software development processes, and collaborating in multi-functional agile teams.
</li><li>Communicate effectively with technical teams and non-technical stakeholders.
</li><li>Bachelor's degree in Computer Science or related engineering discipline, or equivalent combination of education and experience.
</li></ul><div>Optionally, experience building Docker images and deploying them to a Production environment. Integrate Docker container orchestration framework using Kubernetes by creating pods, config Maps, and deployments using Terraform.
</div><ul><li>Optionally, experience with C#, .NET core, and microservices</li></ul></div>

Bilight Solutions

<p><b>Job Title: Data Engineer (2-3 Years Experience)</b></p><p><b>Location: Chennai</b></p><p><b>Work Mode: Full-time, Work From Office (9:30 AM &ndash; 6:30 PM)</b></p><p><b>Availability: Immediate Joiners</b></p><p><b>Contact: 9384854315 (Reshma C - HR Executive)</b></p><p><b>About the Role:</b></p><p>We are looking for a highly skilled Data Engineer to join our delivery team. The role involves building robust, scalable, and secure data pipelines that power analytics and reporting. The ideal candidate will have strong experience in cloud platforms, ETL frameworks, and big data tools, and will work closely with analysts, business teams, and clients to ensure the timely delivery of clean, high-quality data for strategic insights and decision-making.</p><p><b>Key Responsibilities:</b></p><p>&#10003; Design and build scalable ETL/ELT pipelines for structured and unstructured data.</p><p>&#10003; Develop data infrastructure using cloud services (AWS Glue, S3, Redshift, etc.).</p><p>&#10003; Optimize data storage, processing, and query performance using PySpark or similar tools.</p><p>&#10003; Implement and maintain data security, governance, and access control mechanisms.</p><p>&#10003; Monitor and troubleshoot pipeline performance to ensure high availability and reliability.</p><p>&#10003; Collaborate with business and analytics teams to understand and meet data requirements.</p><p>&#10003; Ensure seamless integration of data from internal and external sources.</p><p>&#10003; Create clear technical documentation for pipelines, workflows, and architecture.</p><p>&#10003; Participate in client meetings, provide status updates, and highlight risks or blockers.</p><p>&#10003; Drive automation, standardization, and process improvements across data engineering functions.</p><p><b>Skills &amp; Qualifications:</b></p><ul><li><b>Programming</b>: Strong in SQL, Python, or Scala</li></ul><ul><li><b>Big Data</b>: Experience with PySpark, Spark, or Hadoop</li></ul><ul><li><b>Cloud Platforms</b>: Hands-on with AWS, Azure, or GCP (Glue, S3, Redshift, BigQuery, etc.)</li></ul><ul><li><b>ETL Tools</b>: Familiarity with Airflow, Azure Data Factory, or other orchestration tools</li></ul><ul><li><b>DevOps &amp; CI/CD</b>: Experience with Git, pipeline automation, and deployment tools</li></ul><ul><li><b>Security &amp; Governance</b>: Knowledge of data compliance and best practices</li></ul><ul><li><b>Monitoring Tools</b>: Experience with CloudWatch, Prometheus, or Datadog</li></ul><ul><li><b>Education</b>: Bachelor's degree in computer science, Engineering, or related field</li></ul><ul><li><b>Certifications</b>: AWS/Azure/GCP cloud certifications are a plus</li></ul><p><b>Experience:</b></p><p>&#10003; 2&ndash;3 years of experience in Data Engineering or similar roles</p><p>&#10003; Strong experience in building cloud-based data pipelines and real-time data processing</p><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;450,000.00 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

Capgemini

<div><div><div><p>Bangalore</p><div>
Data Engineer</div><p>
</p></div></div><div></div><div><div><div><div><div><p>
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.</p><div><div><div><div><b>
Your Role</b></div></div><div><ul><li>
5+ yrs of total IT experience and 4+ yrs of relevant experience as Azure Data Engineer and having good hands-on experience on Azure Data Factory, Azure Databricks, Python, Azure Synapse, Azure Data Lake, PySpark, SQL Server and Power BI.</li><li>
Knowledge in design of Extract, Transform and Load environment using Data bricks, Spark Azure Data Factory (ADF).</li><li>
Setting Up Microsoft Azure with Data bricks, Data bricks Workspace for Business Analytics, Manage Clusters in Data bricks.</li><li>
Hands on experience Data extraction (extract, Schemas, corrupt record handling and parallelized code), transformations and loads (user defined functions, join optimizations) and Production (optimize and automate Extract, Transform and Load).</li><li>
Copy of data from on-premises data (SQL Server) to Azure Data Lake Store (ADLS) using Azure Data Factory (ADF V2).</li><li>
Data migrated using Azure Data Factory and created new pipelines, data flows.</li><li>
Hands on experience on Migrating SQL database to Azure Data Lake, Azure datalake Analytics, Azure SQL Database, Data Bricks and Azure SQL Data warehouse and controlling and granting database access.</li><li>
Experience in working with Data bricks notebooks for developing and executing transformation logic and data processing tasks. Extensive experience in designing ETL pipelines using Data bricks, Apache Spark, and Azure Data Factory (ADF).</li></ul>
Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.</div></div><div><div><div><b>
Your Profile</b></div></div><div><ul><li>
Proficient in data extraction, schema management, and handling corrupt records with parallelized processing.</li><li>
Expertise in transformations and data loads, including optimization of joins and implementing user-defined functions (UDFs).</li><li>
Created Data bricks notebooks for data transformation, using various transformation processes such as join, merge, lookup, filter, remove duplicates, and aggregation.</li><li>
Designed ADF pipelines to execute Databricks notebooks and carry out complex transformations.</li><li>
Carryout transformations and creating notebooks using various transformation processes like Join, Merge, Lookup, remove Duplicates, Filter and Aggregator.</li><li>
Utilized spark transformations in Databricks for data cleaning, filter in and transformation tasks.</li><li>
Experience in troubleshooting SQL issues by using SQL Tools, execution plans, Trace, statistics, index tuning wizard.</li></ul></div></div><div><div><div><b>
What will you love working at Capgemini
</b></div></div><div><ul><li>You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications.</li><li>
We&rsquo;re committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work.</li><li>
At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.
</li><li>Capgemini office campuses in India are green and run on 100% renewable electricity. We have installed Solar plants across India locations and &lsquo;Battery Energy Storage Solution&rsquo; (BESS) in the Noida and Mumbai campuses. You will have chance to make a difference everyday.</li></ul></div></div></div><p>
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div><div><div><div>
<div><div>Ref. code</div><div>
332598-en_GB</div></div><div><div>
Posted on</div><div>
08 Dec 2025</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Bangalore</div></div><div><div>
Business unit</div><div>
Engineering and RandD Services</div></div><div><div>
Brand</div><div>
Capgemini Engineering</div></div><div><div>
Professional communities</div><div>
Software Engineering</div></div></div></div></div></div></div></div></div><p></p>

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