Experience: 6-12 years Must-Have: AWS, Python, Pyspark, SQL, ETL, Snowflake 8+ years of relevant experience in Data Engineering and delivery. 8+ years of relevant work experience in Big Data Concepts. Worked on cloud implementations. Have experience in Snowflake, SQL, AWS (glue, EMR, S3, Aurora, RDS, AWS architecture) Good experience with AWS cloud and microservices – AWS Glue, S3, Python, and Pyspark. Good aptitude, strong problem-solving abilities, analytical skills, and ability to take ownership as appropriate. Should be able to do coding, debugging, performance tuning, and deploying the apps to the Production environment. Experience working in Agile Methodology Ability to learn and help the team learn new technologies quickly. Excellent communication and coordination skills Good to have: Have experience in DevOps tools (Jenkins, GIT etc.) and practices, continuous integration, and delivery (CI/CD) pipelines. Spark, Python, SQL (Exposure to Snowflake), Big Data Concepts, AWS Glue. Worked on cloud implementations (migration, development, etc. Role & Responsibilities: Be accountable for the delivery of the project within the defined timelines with good quality. Working with the clients and Offshore leads to understanding requirements, coming up with high-level designs, and completing development, and unit testing activities. Keep all the stakeholders updated about the task status/risks/issues if there are any. Keep all the stakeholders updated about the project status/risks/issues if there are any. Work closely with the management wherever and whenever required, to ensure smooth execution and delivery of the project. Guide the team technically and give the team directions on how to plan, design, implement, and deliver the projects. Show more Show less

Key Responsibilities: Develop and maintain scalable, asynchronous REST and WebSocket APIs using FastAPI (or Flask/Litestar) Write clean, well-documented, and type-safe Python code with strong OOP practices and typing discipline Design and manage data models using SQLAlchemy or similar ORMs for both relational and NoSQL databases Ensure high availability, reliability, and performance of backend services Collaborate with DevOps to build, test, and deploy services via CI/CD pipelines (GitHub Actions or GitLab CI) Implement feature-branch workflows , follow conventional commits , and conduct peer code reviews Write and maintain unit, integration, and functional tests for backend services Monitor and resolve issues in production APIs and services Must-Have Skills: 5–7 years of professional backend development experience Advanced experience with Python 3.11+ , Proficient in building high-performance APIs using FastAPI (or Flask/Litestar) Solid understanding of Git , including feature-branch workflows , PR management, and version control hygiene Practical experience with CI/CD pipelines — especially GitHub Actions , Docker-based builds, and deployment automation Strong in SQL and hands-on experience with at least one relational database (PostgreSQL, MySQL) Familiarity with NoSQL stores (MongoDB, Redis, etc.) Experience with SQLAlchemy , SQLModel , or equivalent ORMs in asynchronous setups Show more Show less

Key Skills & Experience 3+ years in the software industry. Experience in C# based software, developed in the ASP.Net Framework. Experience in MS SQL and NO SQL DB. Experience in web development tools jQuery, Ajax, Infragistics, Mindfusion, HighCharts, and Bootstrap. Understanding of the Software Development Life Cycle Methodology Outstanding communication and presentation abilities Excellent knowledge of software and application design and architecture A technical mindset with great attention to detail Applying development methodologies like TDD, CI/CD pipelines, Infrastructure as Code Outstanding communication and presentation abilities Ability to work as a team member Building backend services and Web APIs Experience in cloud native application development and cloud architecture/infrastructure Providing overall software architecture guidance in terms of best practice when it comes to development. Good hands on Experience in React Mentoring more junior members of the team in overall software development Providing production support to application Show more Show less

Job Summary: We are looking for a highly skilled and experienced Java Full Stack Developer with over 5 years of hands-on experience in building scalable web applications using Java, Spring Boot, Microservices, REST APIs, SQL , and React.js . You will be responsible for developing both backend and frontend components, integrating systems, and ensuring high performance and responsiveness of applications. Key Responsibilities: Design, develop, and maintain robust backend services using Java , Spring Boot , and Microservices architecture . Develop and enhance user interfaces using React.js with a strong focus on performance, usability, and accessibility. Create and consume RESTful APIs to integrate front-end and back-end services. Write complex and efficient SQL queries for data retrieval and manipulation in relational databases . Collaborate with cross-functional teams (Product Managers, QA, DevOps) to deliver high-quality software solutions. Participate in code reviews, sprint planning, and agile development practices. Troubleshoot and resolve production issues with a sense of urgency. Stay current with emerging technologies and propose technical solutions to meet business objectives. Required Skills and Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 5+ years of professional experience in Java development . Strong experience with Spring Boot and building Microservices-based architectures . Proficient in developing and integrating RESTful APIs . Strong experience with SQL and working with relational databases such as PostgreSQL, MySQL, or Oracle . Hands-on experience in React.js , including state management (Redux, Context API), component design, and hooks. Solid understanding of HTML5, CSS3, JavaScript , and responsive UI development. Experience with tools like Git, Maven/Gradle, JIRA , and CI/CD pipelines. Strong problem-solving skills and the ability to work independently or in a team. Preferred Qualifications: Experience with Docker , Kubernetes , or any cloud platforms (AWS, Azure, GCP). Familiarity with unit testing and test-driven development (Junit, Mockito, Jest, etc.). Understanding of performance optimization, security best practices, and application monitoring. What We Offer: Competitive salary and performance bonuses. Flexible working hours and remote work options. Opportunities for professional growth and continuous learning. Collaborative and inclusive work culture. Health insurance and other benefits. Show more Show less

Minimum 8 years of experience in software quality assurance, with a focus on API testing, test automation. Proficiency in test automation using Rest Assured, Selenium using Java Proficiency in working with API testing tools Strong programming skills in languages such as Java / JavaScript for test automation. Experience with version control systems such as Git. Very good understanding and hands on experience on Git lab or any other CI / CD pipelines Excellent analytical and problem-solving skills, with a keen attention to detail. Strong communication and collaboration skills, with the ability to work effectively in a team environment. Show more Show less

Job Summary: We are looking for a highly skilled and experienced Java Full Stack Developer with over 5 years of hands-on experience in building scalable web applications using Java, Spring Boot, Microservices, REST APIs, SQL , and React.js . You will be responsible for developing both backend and frontend components, integrating systems, and ensuring high performance and responsiveness of applications. Key Responsibilities: Design, develop, and maintain robust backend services using Java , Spring Boot , and Microservices architecture . Develop and enhance user interfaces using React.js with a strong focus on performance, usability, and accessibility. Create and consume RESTful APIs to integrate front-end and back-end services. Write complex and efficient SQL queries for data retrieval and manipulation in relational databases . Collaborate with cross-functional teams (Product Managers, QA, DevOps) to deliver high-quality software solutions. Participate in code reviews, sprint planning, and agile development practices. Troubleshoot and resolve production issues with a sense of urgency. Stay current with emerging technologies and propose technical solutions to meet business objectives. Required Skills and Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 5+ years of professional experience in Java development . Strong experience with Spring Boot and building Microservices-based architectures . Proficient in developing and integrating RESTful APIs . Strong experience with SQL and working with relational databases such as PostgreSQL, MySQL, or Oracle . Hands-on experience in React.js , including state management (Redux, Context API), component design, and hooks. Solid understanding of HTML5, CSS3, JavaScript , and responsive UI development. Experience with tools like Git, Maven/Gradle, JIRA , and CI/CD pipelines. Strong problem-solving skills and the ability to work independently or in a team. Preferred Qualifications: Experience with Docker , Kubernetes , or any cloud platforms (AWS, Azure, GCP). Familiarity with unit testing and test-driven development (Junit, Mockito, Jest, etc.). Understanding of performance optimization, security best practices, and application monitoring. What We Offer: Competitive salary and performance bonuses. Flexible working hours and remote work options. Opportunities for professional growth and continuous learning. Collaborative and inclusive work culture. Health insurance and other benefits. Show more Show less

Key Responsibilities: Plan, execute, and manage the end-to-end lifecycle of projects, ensuring scope, schedule, and quality objectives are met. Collaborate with stakeholders, developers, and business analysts to define project scope and deliverables. Track project progress using JIRA , maintaining accurate timelines, task allocations, and updates. Use Confluence for documentation, meeting notes, and knowledge sharing. Interface with ServiceNow for incident tracking, change requests, and service management support will be added advantage Identify risks, create mitigation plans, and manage project-related issues to resolution. Provide regular status updates and reports to senior management and stakeholders. Promote best practices in project management methodologies and tools. Maintain awareness of security concepts , ensuring that project deliverables align with organizational security standards and compliance requirements. Required Skills & Qualifications: 5+ years of experience in project management roles, preferably in IT or software development environments. Strong working knowledge of JIRA and Confluence . Familiarity with ServiceNow and its core functionalities. General awareness of information security principles and compliance practices. Excellent communication, organizational, and stakeholder management skills. Ability to manage multiple projects simultaneously in a fast-paced environment. PMP, Prince2, or Agile/Scrum certification is a plus. Nice to Have: Experience working with distributed or global teams. Background in IT infrastructure, DevOps, or cybersecurity environments. Experience with Agile, Scrum, or hybrid project methodologies. Show more Show less

Key Skills: 4+ years of hands-on DevOps Experience with AWS code pipeline including infrastructure provisioning and configuration in data center and cloud environments. DevOps and build & release experience including delivery Experience with containerization using docker Strong scripting background -Python AWS ECS / Fargate services experience is a must Excellent understanding of application deployment process, infrastructure design and capacity planning. Thorough understanding of Agile practices Hands on experience with Gitlab Ability to closely work with the infrastructure, networking, and development teams to ensure the timely deliverable Willingness to be available to overlap PST time zone as required. Show more Show less

Key Responsibilities: MDM Solution Development: Design and develop master data models, hierarchies, and workflows using Informatica MDM Hub and IDD (Informatica Data Director). Data Integration: Integrate data from various source systems into the MDM platform, ensuring seamless data flow and synchronization. Data Quality Management: Implement data quality rules, validation processes, and exception handling to maintain high data standards. Match & Merge Configuration: Define and configure match and merge rules to identify and consolidate duplicate records. Workflow Automation: Automate data stewardship workflows and approval processes to enhance operational efficiency. Performance Optimization: Monitor and optimize MDM system performance to ensure scalability and responsiveness. Collaboration: Work closely with business stakeholders, data stewards, and IT teams to align MDM solutions with business requirements. Documentation: Maintain comprehensive technical documentation, including design specifications, configuration guides, and troubleshooting manuals. Required Qualifications: Educational Background: Bachelor's degree in Computer Science, Information Technology, or a related field. Experience: Minimum of 5 years of hands-on experience with Informatica MDM, including MDM Hub, IDD, and ActiveVOS. Technical Skills: Proficiency in SQL and experience with relational databases (e.g., Oracle, SQL Server). Familiarity with data integration tools and ETL processes. Knowledge of data governance principles and best practices. Soft Skills: Strong problem-solving abilities, excellent communication skills, and the ability to work effectively in a collaborative team environment. Show more Show less

Key Responsibilities: Develop and maintain well-structured testing reports and documentation aligned with internal and client standards. Conduct manual web application testing with a strong focus on UI/UX and functionality. Perform monkey testing / exploratory testing to uncover edge-case and hidden defects with the sole aim of identifying potential vulnerabilities or points of failure. Evaluate and test interfaces with a strong emphasis on usability , user experience , and attention to detail . Collaborate with development teams to reproduce and analyze issues, ensuring quick resolution. Assist in Data Engineering (DE) testing and validating backend data pipelines (Not mandatory) Must-Have Skills: Strong experience in web application testing , including functional, unit, integration, and regression testing exercises. A genuine knack for breaking applications creatively – you should enjoy pushing the boundaries of the system. Ability to create and maintain organized and comprehensive test documentation and bug reports. Basic understanding of user interface design principles , usability evaluation , and user-centric testing. Excellent communication skills and the ability to work independently with minimal supervision. Nice-to-Have (Bonus Points): Experience with Data Engineering testing or familiarity with data validation processes. Acquaintance with Databricks , Azure App Services , or frontend/backend tech stacks like React and Node.js . Show more Show less

Position - Jr Data Engineer Experience - 0-2 years Job Description: 0-2 years of experience as a Data Engineer. Programming experience with Python/Java, SQL Responsible for building, test, QA & UAT environments using Cloud Formation. Knowledge cloud-based solutions like AWS/AZURE / Google Cloud. Technical expertise with data models, data mining. Familiarity with Hadoop and Big data platforms. Knowledge on data pipelines and workflow management tools (e.g. Airflow) Knowledge on distributed systems. Skillset : Python / Java, SQL. Responsibilities: Designing, building, and maintaining efficient, reusable, and reliable code Independently perform hands-on Development and unit testing of the applications Collaborate with the development team and build individual components into the enterprise data platform. Work in a team environment with the product, QE/QA, and cross-functional teams to deliver a project throughout the whole software development cycle. Responsible to identify and resolve any performance issues. Keep up to date with new technology development and implementation. Participate in code review to make sure standards and best practices are met. Project management: Agile developers take responsibility for estimating, planning, and managing all tasks and report on progress. Teamwork: This includes collaboration with all other team members with the aim to take shared responsibility for the overall efforts Understanding user needs: This is about interacting with users as necessary to clarify requirements. Education - BE/BTech or Graduate / Postgraduate in Computer Science / Information Technology Next Show more Show less

Mandatory Skills: · 5+ Years of experience as a Data Engineer · Strong technical expertise in SQL Advanced SQL querying skills (joins, subqueries, CTEs, aggregation) · Strong knowledge of joins and common table expressions (CTEs) · Strong experience with Python · Experience in Snowflake , ETL, SQL, CI/CD · Strong expertise in ETL process and with various data model concepts · Knowledge of star schema and snowflake schema · Good to know about AWS services such as S3, Athena, Glue, EMR/Spark with a major emphasis on S3 and Glue Nice to Have: · Experience with Big Data Tools and technologies · Good Understanding of data structures and data analysis · Knowledge of Insurance Domain is an addition. Responsibilities : · Understand and translate business needs into data models supporting long-term solutions. · Perform reverse engineering of physical data models from databases and SQL scripts. · Analyze data-related system integration challenges and propose appropriate solutions. · Assist with and support setting the data architecture direction (including data movement approach, architecture/technology strategy, and any other data-related considerations to ensure business value) Key Skills: SQL, Snowflake, Python, AWS Show more Show less

Responsibilities: Participate in the design, development, and execution of data migration strategies from SQL Server to Snowflake. Build, maintain, and optimize ETL/ELT pipelines using tools such as Azure Data Factory, dbt, or custom scripts. Convert complex T-SQL logic and stored procedures into Snowflake-compatible SQL or ELT workflows. Ensure data quality, validation, and consistency throughout the migration process. Collaborate with data architects, analysts, and business teams to understand requirements and ensure a smooth transition. Monitor Snowflake performance, optimize queries, and manage warehouse resources effectively. Follow best practices in data security, governance, and compliance. Contribute to technical documentation, including process flows, data mappings, and operational runbooks. Programming experience with Python, PySpark, Shell scripting, and SQL is mandatory. Must Have Skills: 4+ years of experience in data engineering or similar IT roles. Practical, hands-on experience with Snowflake (at least 2+ year). Strong experience with Microsoft SQL Server, including T-SQL and stored procedure development. Strong understanding of metadata-driven approaches and data governance principles. Experience in building and maintaining data pipelines and workflows in cloud environments (preferably Azure). Good understanding of data warehousing concepts, ETL/ELT, and dimensional modeling. Proficiency in writing complex SQL queries and optimizing performance. Experience with scripting languages such as Python or PowerShell is a plus. Familiarity with version control (e.g., Git) and CI/CD tools. Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. Good verbal and written communication skills. Good to Have: Experience with DBT, Azure Data Factory, or similar modern data tools. Snowflake cloud platform certifications. Exposure to data governance tools, data catalogs, or monitoring platforms. Prior experience working in Agile or DevOps environments. Education: Bachelor’s degree in computer science, Software Engineering, MIS or equivalent combination of education and experience Show more Show less

Design, develop, and optimize scalable batch data pipelines using Java and Apache Spark to handle large volumes of structured and semi-structured data. Utilize Apache Iceberg to manage data lakehouse environments, supporting advanced features such as schema evolution and time travel for data versioning and auditing. Build and maintain reliable data ingestion and transformation workflows using AWS Glue , EMR , and Lambda services to ensure seamless data flow and integration. Integrate with Snowflake as the cloud data warehouse to enable efficient data storage, querying, and analytics workloads. Collaborate closely with DevOps and infrastructure teams to automate deployment, testing, and monitoring of data workflows using CI/CD tools like Jenkins . Develop and manage CI/CD pipelines for Spark/Java applications, ensuring automated testing and smooth releases in a cloud environment. Monitor and continuously optimize the performance, reliability, and cost-efficiency of data pipelines running on cloud-native platforms. Implement and enforce data security, compliance, and governance policies in line with organizational standards. Troubleshoot and resolve complex issues related to distributed data processing and integration. Work collaboratively within Agile teams to deliver high-quality data engineering solutions aligned with business requirements. Required Skills and Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. Strong proficiency in Java programming with solid understanding of object-oriented design principles. Proven experience designing and building ETL/ELT pipelines and frameworks. Excellent command of SQL and familiarity with relational database management systems. Hands-on experience with big data technologies such as Apache Spark , Hadoop , and Kafka or equivalent streaming and batch processing frameworks. Knowledge of cloud data platforms, preferably AWS services (Glue, EMR, Lambda) and Snowflake . Experience with data modeling, schema design, and concepts of data warehousing. Understanding of distributed computing, parallel processing, and performance tuning in big data environments. Strong analytical, problem-solving, and debugging skills. Excellent communication and teamwork skills with experience working in Agile environments. Preferred Qualifications: Experience with containerization and orchestration technologies such as Docker and Kubernetes . Familiarity with workflow orchestration tools like Apache Airflow . Basic scripting skills in languages like Python or Bash for automation tasks. Exposure to DevOps best practices and building robust CI/CD pipelines. Prior experience managing data security, governance, and compliance in cloud environments. Next Show more Show less

Looking for Snowflake Data Engineer who has below technical skills - Able to write SnowSQL queries, stored procedure Have good understanding of Snowflake Warehouse Architecture and Design. Have sound troubleshooting skills. Have knowledge how to fix the Query performance issue in Snowflake Familiar with AWS services - S3, Lambda Function, Glue Jobs etc. Hands-on in Pyspark Also, the Person must have the right attitude, quick learning and analytical skills. The person should be good team player. The person with Insurance (Claims & Settlements) domain knowledge will be preferred.

Minimum 5 years of experience in software quality assurance, with a focus on API testing, test automation. Proficiency in test automation using Rest Assured, Selenium using Java Proficiency in working with API testing tools Strong programming skills in languages such as Java / JavaScript for test automation. Experience with version control systems such as Git. Very good understanding and hands on experience on Git lab or any other CI / CD pipelines Excellent analytical and problem-solving skills, with a keen attention to detail. Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Key Skills & Experience 3+ years of Java, Spring, SQL experience with one or more MVC architectures. Solid understanding of Java and creating RESTful services using SpringBoot Knowledge and Experience in Database design and development in MySQL Knowledge and Experience in source control systems like Bitbucket, Gitlab Knowledge and Experience in CI/CD pipelines in Jenkins and Gitlab Knowledge and Experience in Agile Practices Desire to build and design complex web architectures leveraging object-oriented programming. Excellent interpersonal and communication skills, including excellent spoken and written English Experience with CI/CD and AWS is preferred.

Minimum 5-6 years of experience in software quality assurance, with a focus on API testing, UI testing, and test automation. Proficiency in test automation using Rest Assured, Selenium using Java Proficiency in working with API testing tools, such as Postman, including programming collections and writing tests. Hands-on experience in writing and executing JMeter tests for performance and load testing. Strong programming skills in languages such as Java / JavaScript for test automation. Experience with version control systems such as Git. Very good understanding and hands on experience on Git lab or any other CI / CD pipelines Excellent analytical and problem-solving skills, with a keen attention to detail. Strong communication and collaboration skills, with the ability to work effectively in a team environment. Good to have:- Knowledge of Playwright for UI testing is considered an added advantage.

Must-Have: ● 5 - 9 years of professional experience as a Data Analyst with good decision-making, analytical and problem-solving skills. ● Working knowledge / experience of Big Data frameworks like Hadoop, Hive and Spark. ● Hands-on experience in query languages like HQL or SQL (Spark SQL) for Data exploration. ● Data mapping:Determine the data mapping required to join multiple data sets together across multiple sources. ● Documentation - Data Mapping, Subsystem Design, Technical Design, Business Requirements. ● Exposure to Logical to Physical Mapping, Data Processing Flow to measure the consistency, etc. ● 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. ● Understanding of ER Diagram and Data Modeling concepts ● Exposure to Data quality validation ● Exposure to Data Management, Data Cleaning and Data Preparation ● Exposure to Data Schema analysis. ● Exposure to working in Agile framework. ● SQL, Pyspark, Python with Banking Domain knowledge / Credit & Lending domain knowledge. ● Knowledge of Credit Risk Frameworks such as Basel II, III, IFRS 9 and Stress Testing and understanding their drivers - advantageous ● Retail Credit / Traded Credit knowledge - applications will be considered Good To Have: ● BFSI Domain knowledge ● Data Visualization - Tableau or Qlik Sense ● Exposure to Hadoop, Hive and ETL. ● Working knowledge of any cloud services like AWS or GCP or Azure. ● Any relevant certifications would be a plus. Role & Responsibilities: ● Take complete responsibility for the sprint stories' execution. ● Understand the business requirements from the product/project stakeholders and break the requirements into simpler stories and tasks and do the necessary mapping of the tasks to the logical model of the solutions. ● Mapping of business entities to technical attributes with the logic for transformation defined clearly. ● Be accountable for the delivery of the tasks in the defined timelines with good quality. ● Follow the processes for project execution and delivery. ● Follow agile methodology. ● Working with the team leads closely and contribute to the smooth delivery of the project. ● Understand/define the architecture and discuss the pros-cons of the same with the team. ● Involve in the brainstorming sessions and suggest improvements in the architecture/design. ● Working with other teams leads to getting the architecture/design reviewed. ● Keep all the stakeholders updated about the project, task status, risks, and issues if any.

5+ years in data analysis, mapping & transformation Strong SQL skills & experience with relational DBs Excellent communication & documentation (BRD & FRD) skills. Property & Casualty Insurance (P&C) domain experience is a big plus! Bonus Points For: Deep insurance domain knowledge Be the go-to link between business and technical teams. Dive deep into data profiling, data mapping, and lineage. Standardize reference/master data across systems. Create clear, insightful documentation for stakeholders.