software engineer

business analyst

data scientist

senior software engineer

data analyst

data engineer

Kyndryl

<div>Who We Are
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward &ndash; always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. 
 
The Role
Are you ready to dive headfirst into the captivating world of data engineering at Kyndryl? As a Data Engineer, you'll be the visionary behind our data platforms, crafting them into powerful tools for decision-makers. Your role? Ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips.
 
 
As a Data Engineer at Kyndryl, you'll be at the forefront of the data revolution, crafting and shaping data platforms that power our organization's success. This role is not just about code and databases; it's about transforming raw data into actionable insights that drive strategic decisions and innovation.
 
 
In this role, you'll be engineering the backbone of our data infrastructure, ensuring the availability of pristine, refined data sets. With a well-defined methodology, critical thinking, and a rich blend of domain expertise, consulting finesse, and software engineering prowess, you'll be the mastermind of data transformation.
 
 
Your journey begins by understanding project objectives and requirements from a business perspective, converting this knowledge into a data puzzle. You'll be delving into the depths of information to uncover quality issues and initial insights, setting the stage for data excellence. But it doesn't stop there. You'll be the architect of data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataset&mdash;a true data alchemist.
 
 
Armed with a keen eye for detail, you'll scrutinize data solutions, ensuring they align with business and technical requirements. Your work isn't just a means to an end; it's the foundation upon which data-driven decisions are made &ndash; and your lifecycle management expertise will ensure our data remains fresh and impactful.
 
 
So, if you're a technical enthusiast with a passion for data, we invite you to join us in the exhilarating world of data engineering at Kyndryl. Let's transform data into a compelling story of innovation and growth.
 
 
Your Future at Kyndryl
 
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won&rsquo;t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. 
 
Who You Are
You&rsquo;re good at what you do and possess the required experience to prove it. However, equally as important &ndash; you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused &ndash; someone who prioritizes customer success in their work. And finally, you&rsquo;re open and borderless &ndash; naturally inclusive in how you work with others.
R equired Technical and Professional Expertise
<ul><li>6&ndash;8 years of experience working as a Data Engineer or in Azure cloud modernization
</li><li>Good experience in Power BI for data visualization and dashboard development
</li><li>Strong experience in developing data pipelines and using tools such as AWS Glue, Azure Databricks, Synapse, or Google Dataproc
</li><li>Proficient in working with both relational and NoSQL databases, including PostgreSQL, DB2, and MongoDB
</li><li>Excellent problem-solving, analytical, and critical thinking skills
</li><li>Ability to manage multiple projects simultaneously while maintaining a high level of attention to detail
</li><li>Expertise in data mining, data storage, and Extract-Transform-Load (ETL) processes
</li></ul>Preferred Technical and Professional Experience
<ul><li>Experience in Data Modelling, to create conceptual model of how data is connected and how it will be used in business processes
</li><li>Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization
</li><li>Cloud platform certification, e.g., AWS Certified Data Analytics &ndash; Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate
</li><li>Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio
</li><li>Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology 
</li></ul> 
Being You
Diversity is a whole lot more than what we look like or where we come from, it&rsquo;s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we&rsquo;re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you &ndash; and everyone next to you &ndash; the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That&rsquo;s the Kyndryl Way. 
 
What You Can Expect
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter &ndash; wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
Get Referred!
If you know someone that works at Kyndryl, when asked &lsquo;How Did You Hear About Us&rsquo; during the application process, select &lsquo;Employee Referral&rsquo; and enter your contact's Kyndryl email address.</div>

Data Engineer

SatSure Analytics India Private Limited

As a Data Engineer specializing in geospatial data, your primary responsibility is to design, build, and maintain data infrastructure and systems that handle geospatial information effectively. You will work closely with cross-functional teams, including data scientists, geospatial analysts, and software engineers, to ensure that geospatial data is collected, processed, stored, and analyzed efficiently and accurately.Key Responsibilities:<ul><li>Data Pipeline Development: Design and implement robust data pipelines to acquire, ingest, clean, transform, and process geospatial data from various sources such as satellites, aerial, drones, and geolocation services.</li><li>Data Ingestion, Storage and Extraction: Develop data models and schemas tailored to geospatial data structures, ensuring optimal performance and scalability for storage and retrieval operations.</li><li>Spatial Database Management: Manage geospatial databases, including both traditional relational databases (e.g., PostgreSQL with PostGIS extension) and NoSQL databases (e.g., MongoDB, Cassandra) to store and query spatial data efficiently.</li><li>Geospatial Analysis Tools Integration: Integrate geospatial analysis tools and libraries (e.g., GDAL, GeoPandas, Fiona) into data processing pipelines and analytics workflows to perform spatial data analysis, visualization, and geoprocessing tasks.</li><li>Geospatial Data Visualization: Collaborate with data visualization specialists to create interactive maps, dashboards, and visualizations that effectively communicate geospatial insights and patterns to stakeholders. (frontend related)</li><li>Performance Optimization: Identify and address performance bottlenecks in data processing and storage systems, leveraging techniques such as indexing, partitioning, and parallelization to optimize geospatial data workflows.</li><li>Data Quality Assurance: Implement data quality checks and validation procedures to ensure the accuracy, completeness, and consistency of geospatial data throughout the data lifecycle.</li><li>Geospatial Data Governance: Establish data governance policies and standards specific to geospatial data, including metadata management, data privacy, and compliance with geospatial regulations and standards (e.g., INSPIRE, OGC).</li><li>Collaboration and Communication: Collaborate with cross-functional teams to understand geospatial data requirements and provide technical expertise and support. Communicate findings, insights, and technical solutions effectively to both technical and non-technical stakeholders.</li></ul>Requirements:Must-have:<ul><li>Bachelor's or Master's degree in Computer Science or a related field.</li><li>3-5 years of experience working in the field and deploying the pipelines in production.</li><li>Strong programming skills in languages such as Python, Java, or Scala, with experience in geospatial libraries and frameworks (e.g., Rasterio, Shapely).</li><li>Experience with distributed computing frameworks (e.g., Apache Spark, Airflow) and cloud-based data platforms (e.g., AWS, Azure, Google Cloud Platform).</li><li>Familiarity with geospatial data formats and standards (e.g., GeoJSON, Shapefile, KML) and geospatial data visualization tools (e.g., Mapbox, Leaflet, Tableau).</li><li>Strong analytical and problem-solving skills, with the ability to work with large and complex geospatial datasets.</li></ul>Good-to-have:<ul><li>Proficiency in SQL and experience with geospatial extensions for relational databases (e.g., PostGIS).</li><li>Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.</li><li>Nice to have experience with geospatial libraries such as Rasterio, Xarray, Geopandas, and GDAL.</li><li>Nice to have Knowledge of distributed computing frameworks such as Dask.</li><li>STAC, GeoParquet, Cloud native tools.</li><li>Productionising Data Science code.</li></ul>The role of a Data Engineer for Geospatial Data is crucial in enabling organizations to leverage the power of geospatial information for various applications, including urban planning, environmental monitoring, transportation, agriculture, and emergency response.Benefits:<ul><li>Medical Health Cover for you and your family, including unlimited online doctor consultations</li><li>Access to mental health experts for you and your family</li><li>Dedicated allowances for learning and skill development</li><li>Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves</li><li>Twice a year appraisal</li></ul>Job Type: Full-timeWork Location: In person

Data Engineer - 2

Cloudgritz Technologies

We are looking for a data engineer intern or trainee with below key skills:SQL Database tuning and performance Airflow implemented using Python or Scala Python and PySpark Redshift or Snowflake or Databricks for data warehousing ETL services in AWS like EMR, GLUE, S3, Redshift or similar services in GCP or AzureThis opening is for both freshers and experienced in the range 0-1 year. On the job training will be provided for freshers. Btech candidates with no prior IT experience can also apply.Job Types: Full-time, Permanent, FresherPay: &#8377;120,000.00 - &#8377;180,000.00 per yearBenefits:<ul><li>Paid sick time</li></ul>Experience:<ul><li>total work: 1 year (Preferred)</li></ul>Work Location: In person

Vikgol Technologies Private Limited

Job Title: Data Engineer Experience: 2-8 Years Location: Bangalore, Hyderabad, Pune, Delhi NCR, Chennai Job Type: Full-timeJob Description: We are hiring a Data Engineer to design, build, and maintain our data architecture and pipelines. You will ensure that data is readily accessible and reliable for business intelligence and data science teams.Responsibilities:<ul><li>Develop, construct, test, and maintain data architectures (e.g., databases, large-scale processing systems).</li><li>Build data pipelines to ingest, process, and transform data from various sources.</li><li>Implement data storage solutions in data warehouses (e.g., Snowflake, Redshift, BigQuery) and data lakes.</li><li>Work with big data tools like Spark, Hadoop, Kafka, etc.</li><li>Ensure data quality and implement data governance and security practices.</li></ul>Requirements:<ul><li>2-8 years of experience in a Data Engineer role.</li><li>Advanced SQL knowledge and experience with relational and NoSQL databases.</li><li>Experience building and optimizing data pipelines and ETL processes.</li><li>Proficiency in a programming language like Python, Java, or Scala.</li><li>Experience with big data tools (Spark, Hadoop, Kafka) and cloud data warehousing solutions.</li><li>Understanding of data modeling and data architecture principles.</li></ul>Job Type: Full-time

Koch

<div>Your Job
The Data Engineer - Video Analytics will be responsible for end-to-end data architecture, pipeline development, and performance optimization for large-scale video analytics systems solutions for Koch Industries. Koch Industries is a privately held global organization with over 120,000 employees around the world, with subsidiaries involved in manufacturing, trading, and investments. Koch Global Solution India (KGSI) is being developed in India to extend its IT operations, as well as act as a hub for innovation in the IT function. As KSGI rapidly scales up its operations in India, it's employees will get opportunities to carve out a career path for themselves within the organization. This role will have the opportunity to join on the ground floor and will play a critical part in helping build out the Koch Global Solution (KGS) over the next several years. Working closely with global colleagues would provide significant international exposure to the employees.
Our Team
The Video Analytics Data Engineering team at Georgia Pacific designs and builds scalable data pipelines and architectures to process large volumes of video and metadata in both real-time and batch modes. They work closely with data scientists and ML engineers to operationalize computer vision models, ensuring data quality, security, and optimal performance on cloud platforms. Additionally, the team focuses on optimizing data workflows, monitoring pipeline reliability, and mentoring engineers to uphold best practices.
What You Will Do<ul><li>
Architect, develop, and maintain distributed data pipelines for ingestion, processing, and storage of video and metadata
</li><li>Design and implement scalable workflows using tools such as NATS/Kafka or equivalent
</li><li>Optimize data processing frameworks for real-time analytics and batch processing of high-volume video streams and Images
</li><li>Collaborate with data scientists and ML engineers to operationalize computer vision and deep learning models (e.g., object detection, tracking, activity recognition, Quality and Safety)
</li><li>Build data lakes and warehouses (e.g., AWS S3) to support analytics and reporting
</li><li>Implement data quality checks, monitoring, and alerting to ensure pipeline reliability and accuracy
</li><li>Develop and maintain data APIs and services (REST)</li><li>
Ensure data security and governance in video data handling
</li><li>Conduct performance tuning, capacity planning, and cost optimization on cloud platforms (AWS)
</li></ul>Who You Are (Basic Qualifications)
<ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or related field
</li><li>5-10 years of hands-on experience as a Data Engineer or similar role, with a focus on video or multimedia analytics
</li><li>Strong programming skills in Python, Go lang (good to have)
</li><li>Expertise in big data frameworks: Apache Spark, Kafka/NATS etc.
</li><li>Familiarity with containerization (Docker, Kubernetes) and microservices architecture
</li><li>Proficient with cloud platforms: AWS including data services (Lamda, Batch, State machine, etc.)
</li><li>Solid understanding of database technologies: SQL (PostgreSQL, MySQL)</li><li>
Hands-on experience deploying and scaling computer vision/ML pipeline
</li></ul>What Will Put You Ahead
<ul><li>Strong expertise in big data frameworks like Apache Spark and messaging systems such as Kafka or NATS, combined with hands-on experience in video or multimedia analytics.
</li><li>Proficiency in cloud platforms (especially AWS) and containerization technologies (Docker, Kubernetes) to build scalable, secure, and efficient data workflows.</li><li>
Proven ability to collaborate across teams, operationalize computer vision/ML models, optimize pipeline performance, and mentor junior engineers while following best practices.</li></ul>
At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.
Who We Are
At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.
Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.</div>

Easyship

<div>Easyship is revolutionizing logistics for eCommerce. With our all-in-one cloud based shipping software, businesses of all shapes and sizes have the tools needed to scale globally. At Easyship we believe in accelerating borderless commerce. We're proud that a diversity of small business owners, crowdfunding campaigns, and global brands trust Easyship as their gateway to the world.To learn more about us click here.

Job Title: Data Engineer

Reports to: Head of Data

Location: Bangalore (5 days WFO)

Work Shift: UK shift
<h3 class="jobSectionHeader">
Role Overview:</h3>

As a Data Engineer, you will play a pivotal role in building and maintaining robust data pipelines, data warehouses, and data services within our Google Cloud Platform (GCP) environment. You bring a proactive mindset and a passion for data quality, automation, and enabling rapid development of data-driven solutions for our SaaS and eCommerce shipping platform. You are also curious about leveraging AI and modern data stack tools to build an insights layer on top of data, driving smarter automation and business impact.
<h3 class="jobSectionHeader">
What You'll Do:</h3>
<ul><li>Data Pipeline Development: Design, build, and maintain scalable and reliable data pipelines using Cloud Composer (Airflow), Pub/Sub, and Cloud Functions.</li>
<li>Data Warehousing: Optimize and manage our data warehouse in BigQuery, ensuring data integrity and performance.</li>
<li>Data Transformation: Implement complex data transformations and modeling using Dataform (DBT).</li>
<li>Data Services: Contribute to the development of infrastructure for rapidly building data services and APIs.</li>
<li>Data Quality: Implement and maintain data quality checks and monitoring processes.</li>
<li>Performance Optimization: Identify and resolve performance bottlenecks in data pipelines and queries.</li>
<li>MLOps Integration: Support machine learning workflows by enabling data pipelines for feature engineering, model training, and deployment.</li>
<li>AI &amp; Modern Data Stack: Build and support the development of an AI-driven insights layer on top of our data platform, leveraging modern data stack tools and staying on top of emerging technologies that accelerate analytics and automation.</li>
<li>Collaboration: Work closely with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions.</li>
</ul>
<h3 class="jobSectionHeader"> 
What We're Looking For:</h3>
<ul><li>3+ years experience as a data engineer or similar roles, ideally in SaaS, logistics, or e-commerce</li>
<li>Strong proficiency in SQL</li>
<li>Extensive experience with Google Cloud Platform (GCP), specifically BigQuery, Cloud Composer (Airflow), Dataform (DBT), Pub/Sub, and Cloud Functions.</li>
<li>Experience with data pipeline development and ETL processes.</li>
<li>Experience with building data services/API infrastructure.</li>
<li>Experience with MLOps workflows, including setting up pipelines for feature engineering, model training, deployment, and monitoring using cloud-based tools (e.g., Vertex AI, Kubeflow, or MLflow). (preferable)</li>
Good communication and collaboration skills 
<li>
 
 
</li></ul><h3 class="jobSectionHeader">What you'll get:</h3>
<ul><li>Competitive Equity Package: Earn more than just a competitive salary. Receive equity shares to gain wealth as the company grows.</li>
<li>Generous Vacation Policy: We think time off is essential&hellip; and we encourage it!</li>
<li>Duvet Day: Perfect for those cold winter days, when you don't want to escape the warmth of your bed!</li>
<li>Mental Health Day: You deserve a day off! A chance to recharge and enjoy 'Me Time'</li>
<li>4 weeks of 'Work from Anywhere': Whether you're working from the beautiful beaches in the Bahamas or by the fireplace on your ski trip in Switzerland - just make sure to send us a picture!</li>
<li>Professional Development: We're here to help you hit your career goals to help get you where you want to be.</li>
<li>Company issued laptop: Who wants to work from their personal laptop? Let's keep work and personal life separate!</li>
</ul>
Headquartered in London with offices in New York, Hong Kong, Singapore, Toronto Taipei and Bangalore &ndash; our team is global and growing. We encourage you to apply if a challenge excites you. Come and join the Easyship team!

Easyship is an equal opportunity employer. We make all employment decisions&mdash;recruiting, hiring, pay, benefits, training, promotion, leave, and separation&mdash;based on qualifications, merit, and business needs. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, veteran or military status, citizenship, or any other characteristic protected by law.</div>

Accenture

Project Role : Data Engineer 
Project Role Description : 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.
 
Must have skills : Google BigQuery, Python (Programming Language), Data Building Tool 
Good to have skills : NA 
Minimum 5 year(s) of experience is required 
Educational Qualification : 15 years full time education 
 
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 migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Roles &amp; Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Develop and optimize data pipelines to ensure efficient data processing and retrieval. - Monitor and maintain data quality standards across all data solutions. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery, Python (Programming Language), Data Building Tool. - Strong experience in designing and implementing ETL processes. - Familiarity with data warehousing concepts and best practices. - Ability to work with large datasets and perform data analysis. - Experience in using data visualization tools to present data insights. Additional Information: - The candidate should have minimum 5 years of experience in Google BigQuery. - This position is based at our Mumbai office. - A 15 years full time education is required.
 
15 years full time education

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6434 data engineer jobs IN India

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