software engineer

data scientist

ai engineer

cloud engineer

data analyst

data engineer

Capco

<div>
 
 Job Title: Sr. Data Engineer
 
 
 
 
 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
 
 
 
 
 Job Summary
 
 
 
 <ul>
 <li>
 Position: Sr Consultant
 </li>
 <li>
 Location: Capco Locations (Bengaluru/ Chennai/ Hyderabad/ Pune/ Mumbai/ Gurugram)
 </li>
 <li>
 Band: M3/M4 (8 to 14 years)
 
 
 </li>
 </ul>
 
 Role Description
 
 
 
 
 Job Title: Senior Consultant - Data Engineer
 
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build and optimise data pipelines and ETL processes in Azure Databricks ensuring high performance, reliability, and scalability.
 </li>
 <li>
 Implement best practices for data ingestion, transformation, and cleansing to ensure data quality and integrity.
 </li>
 <li>
 Work within clients best practice guidelines as set out by the Data Engineering Lead
 </li>
 <li>
 Work with data modellers and testers to ensure pipelines are implemented correctly.
 </li>
 <li>
 Collaborate as part of a cross-functional team to understand business requirements and translate them into technical solutions.
 
 
 </li>
 </ul>
 Role Requirements
 
 
 <ul>
 <li>
 Strong Data Engineer with experience in Financial Services
 </li>
 <li>
 Knowledge of and experience building data pipelines in Azure Databricks
 </li>
 <li>
 Demonstrate a continual desire to implement &ldquo;strategic&rdquo; or &ldquo;optimal&rdquo; solutions and where possible, avoid workarounds or short term tactical solutions
 </li>
 <li>
 Work within an Agile team
 
 
 </li>
 </ul>
 
 Experience/Skillset
 
 
 
 <ul>
 <li>
 8+ years experience in data engineering
 </li>
 <li>
 Good skills in SQL, Python and PySpark
 </li>
 <li>
 Good knowledge of Azure Databricks (understanding of delta tables, Apache Spark, Unity Catalog)
 </li>
 <li>
 Experience writing, optimizing, and analyzing SQL and PySpark code, with a robust capability to interpret complex data requirements and architect solutions
 </li>
 <li>
 Good knowledge of SDLC
 </li>
 <li>
 Familiar with Agile/Scrum ways of working
 </li>
 <li>
 Strong verbal and written communication skills
 </li>
 <li>
 Ability to manage multiple priorities and deliver to tight deadlines
 
 
 </li>
 </ul>
 
 WHY JOIN CAPCO?
 
 
 
 You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer:
 
 
 <ul>
 <li>
 A work culture focused on innovation and creating lasting value for our clients and employees
 </li>
 <li>
 Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
 </li>
 <li>
 A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
 </li>
 <li>
 A diverse, inclusive, meritocratic culture
 
 
 </li>
 </ul>
 
 We Offer
 
 
 
 <ul>
 <li>
 A work culture focused on innovation and creating lasting value for our clients and employees
 </li>
 <li>
 Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
 </li>
 <li>
 A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
 
 
 </li>
 </ul>
</div>

Data Engineer

Persistent Systems

<div>
 
 
 About Position:
 
 
 
 
 
 
 We are seeking a
 
 Data Clean Room Engineer (Snowflake)
 
 to design, implement, and scale secure data clean rooms, enabling privacy-preserving collaboration and analytics. You will work across Snowflake, AWS, and Azure ecosystems to build compliant, high-performance solutions, partnering closely with data science, product, and security teams.
 
 
 
 
 <ul>
 <li>
 
 Role: Data Engineer
 
 </li>
 <li>
 
 Location: All Persistent systems locations
 
 </li>
 <li>
 
 Experience 4 to 7 years
 
 </li>
 <li>
 
 Job Type: Full Time Employment
 
 </li>
 </ul>
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 <ul>
 <li>
 Design and deliver secure, compliant Snowflake Data Clean Rooms with robust integrations, governance, and automation.
 </li>
 <li>
 Configure and implement Snowflake Clean Rooms (provider/consumer roles, clean room UI), access controls, and data collaboration policies.
 </li>
 <li>
 Build and maintain ETL/ELT data pipelines to ingest data from diverse sources (e.g., AWS S3) into Clean Rooms.
 </li>
 <li>
 Write advanced SQL and develop performant data models (star/snowflake, semantic layers) tailored for clean room analytics and privacy constraints.
 </li>
 <li>
 Define and enforce privacy, security, and governance controls&mdash;row/column-level security, masking, encryption, anonymization/pseudonymization.
 </li>
 <li>
 Integrate AWS services (e.g., S3, IAM; optionally CloudFormation/Terraform) and Azure services as needed for deployment and access management.
 </li>
 <li>
 Partner with data scientists, product managers, security, and legal/compliance to translate requirements into scalable clean room designs.
 </li>
 <li>
 Implement monitoring, auditing, lineage, and cost optimization for clean room workloads.
 </li>
 <li>
 Drive automation, CI/CD, and documentation for repeatable, compliant environments.
 </li>
 </ul>
 
 
 
 
 
 Expertise You'll Bring:
 
 
 
 
 
 <ul>
 <li>
 You combine deep Snowflake and cloud expertise with strong data engineering, security, and stakeholder collaboration skills.
 </li>
 <li>
 
 Snowflake Clean Rooms:
 
 Hands-on experience with clean room provisioning, provider/consumer roles, policies, tokenization/masking, governance features, and the clean room UI.
 </li>
 <li>
 
 SQL &amp; Data Modeling:
 
 Strong SQL (optimization, window functions, CTEs) and modeling skills for analytics within privacy-preserving environments.
 </li>
 <li>
 
 Data Integration &amp; ETL/ELT:
 
 Building pipelines to ingest/transform data into clean rooms; familiarity with batch/streaming and orchestration (e.g., Airflow/Databricks workflows).
 </li>
 <li>
 
 Cloud Infrastructure:
 
 </li>
 <li>
 
 AWS:
 
 S3, IAM (roles/policies), networking basics; bonus&mdash;CloudFormation/Terraform for automation.
 </li>
 <li>
 
 Azure:
 
 Experience deploying and managing Snowflake and integrations within Azure.
 </li>
 <li>
 
 Databricks Ecosystem:
 
 Experience integrating Databricks with Snowflake, using notebooks/workflows for transformations, and optimizing jobs.
 </li>
 <li>
 
 Security &amp; Privacy:
 
 Implementing encryption, access controls (RBAC/ABAC), data masking, anonymization/pseudonymization, and auditing; awareness of compliance standards (e.g., GDPR/CCPA) as relevant.
 </li>
 <li>
 
 Collaboration &amp; Communication:
 
 Ability to partner with cross-functional stakeholders (data science, product, security, compliance) and translate business needs into technical designs.
 </li>
 <li>
 
 Problem-Solving:
 
 Strong analytical mindset with a track record of diagnosing performance, data quality, and security issues in complex data environments.
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 
 
 
 <ul>
 <li>
 Competitive salary and benefits package
 </li>
 <li>
 Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
 </li>
 <li>
 Opportunity to work with cutting-edge technologies
 </li>
 <li>
 Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
 </li>
 <li>
 Annual health check-ups
 </li>
 <li>
 Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
 </li>
 </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.
 
 
 
 
 <ul>
 <li>
 We support hybrid work and flexible hours to fit diverse lifestyles.
 </li>
 <li>
 Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
 </li>
 <li>
 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
 </li>
 </ul>
 
 
 
 
 
 Let'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>

<div>
 
 
 About Position:
 
 
 
 
 
 
 As a Senior Scala Engineer, you&rsquo;ll be part of a team of smart, highly skilled technologists,who are passionate about learning and supporting cutting-edge technologies such as Spark, Scala, Pyspark, Databricks, Airflow, SQL, Docker, Kubernetes, and other Data engineering tools. These technologies are deployed using DevOps pipelines leveraging Azure, Kubernetes, Jenkins and Bitbucket/GIT Hub.
 
 
 
 
 <ul>
 <li>
 
 Role: Sr. Data Engineer
 
 </li>
 <li>
 
 Location: All persistent location
 
 </li>
 <li>
 
 Experience: 8 to 12 years
 
 </li>
 <li>
 
 Job Type: Full Time Employment
 
 </li>
 </ul>
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 <ul>
 <li>
 Develop, test, troubleshoot, debug, and make application enhancements leveraging, Spark , Pyspark, Scala, Pandas, Databricks, Airflow, SQL as the core development technologies.
 </li>
 <li>
 Deploy application components using CI/CD pipelines.
 </li>
 <li>
 Build utilities for monitoring and automating repetitive functions.
 </li>
 <li>
 Collaborate with Agile cross-functional teams - internal and external clients including Operations, Infrastructure, Tech Ops
 </li>
 <li>
 Collaborate with Data Science team and productionize the ML Models.
 </li>
 <li>
 Participate in a rotational support schedule to provide responses to customer queries and deploy bug fixes in a timely and accurate manner
 </li>
 </ul>
 
 
 
 
 
 Expertise You'll Bring:
 
 
 
 
 
 <ul>
 <li>
 8-12 Years of applicable software engineering experience
 </li>
 <li>
 Strong fundamentals with experience in Bigdata technologies, Spark, Pyspark, Scala, Pandas, Databricks, Airflow, SQL,
 </li>
 <li>
 Must have experience in cloud technologies, preferably Microsoft Azure.
 </li>
 <li>
 Must have experience in performance optimization of Spark workloads.
 </li>
 <li>
 Good to have experience with DevOps Technologies such as GIT Hub, Kubernetes, Jenkins, Docker.
 </li>
 <li>
 Good knowledge of relational databases, preferably PostgreSQL.
 </li>
 <li>
 Excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business
 </li>
 <li>
 Minimum B.S. degree in Computer Science, Computer Engineering or related
 </li>
 <li>
 field
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 
 
 
 <ul>
 <li>
 Competitive salary and benefits package
 </li>
 <li>
 Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
 </li>
 <li>
 Opportunity to work with cutting-edge technologies
 </li>
 <li>
 Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
 </li>
 <li>
 Annual health check-ups
 </li>
 <li>
 Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
 </li>
 </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.
 
 
 
 
 <ul>
 <li>
 We support hybrid work and flexible hours to fit diverse lifestyles.
 </li>
 <li>
 Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
 </li>
 <li>
 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
 </li>
 </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>

Sr. Data Engineer

Onix

<div>
 
 Job Description
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and maintain data pipelines and ETL/ELT workflows using GCP-native tools and services.
 </li>
 <li>
 Build and optimize data warehouses using Snowflake.
 </li>
 <li>
 Write complex and efficient SQL queries for data transformation, analysis, and reporting.
 </li>
 <li>
 Collaborate with analysts, data scientists, and business stakeholders to understand data needs and deliver reliable solutions.
 </li>
 <li>
 Implement data governance, security, and monitoring best practices across GCP projects.
 </li>
 <li>
 Tune queries and optimize performance of large-scale datasets.
 </li>
 <li>
 Automate workflows using Cloud Composer (Airflow) or similar orchestration tools.
 
 
 </li>
 </ul>
 Required Skills &amp; Qualifications:
 
 
 <ul>
 <li>
 3+ years of experience in a data engineering or data platform role.
 </li>
 <li>
 Strong hands-on experience with Snowflake data warehousing
 </li>
 <li>
 Expert-level skills in SQL &mdash; able to write optimized, scalable, and complex queries.
 </li>
 <li>
 Experience with data modeling (star/snowflake schema), partitioning, clustering, and performance tuning in a data warehouse.
 </li>
 <li>
 Familiarity with modern ELT tools such as dbt, Fivetran, or Cloud Data Fusion.
 </li>
 <li>
 Experience in Python or similar scripting language for data engineering tasks.
 </li>
 <li>
 Understanding of data governance, privacy, and Google Cloud Platform services, especially BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer.
 </li>
 </ul>
</div>

Data Engineer (Snowflake)

<div>
 
 Job Title
 
 
 
 
 Overview
 
 
 
 We are looking for an experienced
 
 Data Engineer
 
 with strong expertise in
 
 Databricks
 
 and
 
 Apache Spark
 
 to build and optimize scalable data pipelines on cloud platforms. The ideal candidate will have hands-on experience delivering ETL/ELT workflows, transforming large datasets, and supporting analytics and data platform initiatives. Experience across
 
 Azure
 
 is required, while exposure to
 
 GCP
 
 and modern orchestration tools is a plus.
 
 
 
 Mandatory Skills
 
 
 
 <ul>
 <li>
 Strong hands-on experience with Azure Databricks
 </li>
 <li>
 Expert-level proficiency in Apache Spark (PySpark/Scala)
 </li>
 <li>
 Solid understanding of ETL/ELT pipelines, batch &amp; streaming data processing
 </li>
 <li>
 Proficient in Python and SQL
 
 
 </li>
 </ul>
 
 Good-to-Have Skills
 
 
 
 <ul>
 <li>
 Experience with GCP data services: BigQuery, Dataflow, DataProc
 </li>
 <li>
 Knowledge of Airflow / Cloud Composer, DAG creation and orchestration
 </li>
 <li>
 Familiarity with GCP IAM, storage, and networking concepts
 </li>
 <li>
 Exposure to data pipelines across multi-cloud environments
 </li>
 <li>
 Experience with orchestration, workflow automation, and CI/CD for data pipelines
 </li>
 </ul>
</div>

Senior Engineer

Uplers

<div>
 
 
 Data Scientist + Junior Instructor
 
 
 
 
 Experience:
 
 3 to 6 Years Exp
 
 
 
 Salary :
 
 Competitive
 
 
 
 Preferred Notice Period
 
 : Within 45 Days
 
 
 
 Opportunity Type:
 
 On-site (Pune)
 
 
 
 Placement Type:
 
 Permanent
 
 
 
 (*Note: This is a requirement for one of Uplers' Clients Newton School )
 
 
 
 
 Must have skills required :
 
 
 
 AI/ML, Deep Learning, LLMs OR NLP OR Transformers OR Statistical Modelling OR Agentic AI
 
 
 
 
 
 
 
 
 
 Newton School (One of Uplers' Clients) is Looking for:
 
 
 
 
 Data Scientist + Junior Instructor
 
 who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.
 
 
 
 About:
 
 
 
 Newton School is on a mission to redefine tech education in India. Backed by global investors (RTP Global, Nexus, Kunal Shah, and more), we are building a Tech Institute to solve the employability gap for millions of graduates. In collaboration with Rishihood University (Sonipat), Ajeenkya DY Patil University (Pune), and S-VYASA University (Bangalore), were creating the next generation of industry-ready tech leaders.
 
 
 
 Key Responsibilities-:
 
 
 <ul>
 <li>
 Teach Applied AI/ML: Design and deliver practical, project-based courses in AI/ML (Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, CV, ML Ops, GenAI).
 </li>
 <li>
 Develop Industry-Relevant Curriculum: Help design and update the AI/ML curriculum to reflect current industry tools, techniques, and best practices, incorporating your professional experience and case studies.
 </li>
 <li>
 Mentor Student Projects: Guide students through hands-on AI/ML projects, providing technical direction, code reviews, and feedback based on industry standards.
 </li>
 <li>
 Guide &amp; Mentor Students: Advise students on developing practical skills, understanding career paths in AI/ML, and preparing for internships and job placements.
 </li>
 <li>
 Stay Current: Bring the latest AI/ML research, tools, and industry trends into the classroom.
 </li>
 <li>
 Collaborate: Work closely with other expert faculty and staff to create a unified and effective learning experience.
 </li>
 <li>
 Assess Practical Skills: Design and evaluate assignments, projects, and assessments focused on real-world applications.
 </li>
 </ul>
 
 
 Required Qualifications &amp; Experience
 
 
 <ul>
 <li>
 Bachelors or Masters degree in Computer Science, Engineering, Data Science, AI/ML, or related field. (PhD is valued but not mandatory.)
 </li>
 <li>
 3-6 years of direct, hands-on professional experience in the tech industry as an AI/ML Engineer, Data Scientist, Research Scientist, or similar role involving AI/ML development and deployment.
 </li>
 <li>
 Proven Industry Track Record: Demonstrated experience in building, training, and deploying machine learning models (including deep learning) for real-world problems.
 </li>
 <li>
 Deep AI/ML Understanding: Strong grasp of core ML algorithms (classical &amp; deep learning CNNs, RNNs, Transformers), model evaluation, statistics, and awareness of current research/industry trends.
 </li>
 <li>
 Passion for Teaching/Mentoring: Ability to explain complex concepts clearly and guide others. Prior mentoring, corporate training, technical workshops, or project supervision experience is highly relevant. (Formal academic teaching experience is not mandatory.)
 </li>
 </ul>
 
 
 Required Skills
 
 
 <ul>
 <li>
 Technical: Expert-level Python programming.
 </li>
 <li>
 Proficiency with data science libraries (Pandas, NumPy, Scikit-learn).
 </li>
 <li>
 Hands-on experience with ML/DL frameworks (TensorFlow, PyTorch).
 </li>
 <li>
 Strong SQL and data handling skills.
 </li>
 <li>
 Understanding of ML Ops practices and tools (Git, Docker, AWS/GCP/Azure).
 </li>
 <li>
 Knowledge of key AI areas (NLP, Computer Vision, Generative AI/LLMs).
 </li>
 </ul>
 
 Soft Skills: Strong communication, mentoring ability, collaboration, and a genuine passion for education.
 
 
 
 Good-to-Have
 
 
 <ul>
 <li>
 Prior teaching experience at the undergraduate or graduate level.
 </li>
 <li>
 Familiarity with modern teaching methodologies and academic tools.
 </li>
 </ul>
 
 
 
 
 
 How to apply for this opportunity:
 
 
 
 
 Easy 3-Step Process:
 
 
 
 1.
 
 
 Click On Apply! And Register or log in on our portal
 
 
 2. Upload updated Resume &amp; Complete the Screening Form
 
 
 3. Increase your chances to get shortlisted &amp; meet the client for the Interview!
 
 
 
 
 
 
 
 
 
 About Uplers:
 
 
 
 Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.
 
 
 (Note: There are many more opportunities apart from this on the portal.)
 
 
 
 
 
 So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
 
 
 
 
</div>

Data Scientist

Tech Mahindra

<div>
 
 
 Must-Have
 
 - Expertise in
 
 FiveTran
 
 (setup, configuration, management)
 
 
 - Strong
 
 Python
 
 skills for building/customizing connectors
 
 
 - Experience with
 
 Cloud Data Platforms
 
 (AWS, Azure, GCP)
 
 
 - Knowledge of
 
 ETL/ELT processes
 
 
 
 - Proficiency in
 
 SQL
 
 and relational databases
 
 
 
 
 
 
 Good-to-Have
 
 - Familiarity with other ETL tools (Stitch, Talend, Informatica)
 
 
 -
 
 Data Modeling
 
 (dimensional modeling, best practices)
 
 
 -
 
 API Integration
 
 (REST APIs for custom connectors)
 
 
 -
 
 CI/CD &amp; DevOps
 
 (Git, deployment pipelines)
 
 
 -
 
 Monitoring &amp; Optimization
 
 of data pipelines
 
 
 - Exposure to
 
 BI Tools
 
 (Tableau, Power BI)
 
</div>

Back End Developer (Five Tran)

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