Description:Primary Skill :1. Functional & Non-functional testing covering QA Analysis, QA Planning, QA Preparation, QA Execution & Reporting, QA Automation . Special focus on below skills2. STLC Process, Strong, broad knowledge of other business areas,Atlest 2 of the below skills are required1. Cypress, Playwright, Supertest, Postman, K62. Postman, SOAP3. SOAP, Jenkins, Python, Pycharm, Intellij, Selenium4. Postman, SOAP, K6Secondary Skills : JIRA, Confluence, SQL, Cypress, Playwright, Supertest, Postman, K6, GitlabLocation- Chennai,Bengaluru,Hyderabad,Pune,Noida

Key Responsibilities:Design, develop, test, and deploy backend services and APIs using Java and Python.Collaborate with cross-functional teams including front-end developers, DevOps, QA, and product managers to deliver high-quality solutions.Optimize applications for maximum speed and scalability.Implement robust data handling, storage, and processing mechanisms.Write clean, efficient, and reusable code following best practices and coding standardsParticipate in code reviews and contribute to continuous improvement of the development processTroubleshoot and debug applications in development and production environments.Stay updated with emerging technologies and contribute to architectural decisions.Primary Skills required are Java(Higher experience / Good knowledge), Python, AWS (Lambda, ECS, API Gateway, RDS, SQS, SNS, DynamoDB, MQ, Step Functions), Terraform, SQLGood to have Skills :Jenkins, GitLab CI, low-level solution designLocation: Pune,Noida

Java Spring boot + JavaAWS Experience is mustPostgres database experienceFrontend react is great advantage8+ Years of experience with hands on coding and Solution architectureGood ommunicationWork Timing - 2 PM 12AM

Project Initiation and Planning: Clearly define the scope and objectives of new product and solution implementations, involving all relevant stakeholders and ensuring technical feasibility.Resource Allocation: Plan and allocate resources appropriately to ensure that each stage of the project can be completed on time and within budget.Agile Project Execution: Manage the implementation process using Scrum, coordinating with different departments to ensure smooth integration of new products and solutions.Stakeholder Communication and Customer Handling: Serve as the primary point of contact for project status, updates, and decision-making processes, ensuring clear and regular communication with stakeholders and effectively handling customer interactions.Maintain Quality in Implementation: Ensure that the implementation of new products and solutions maintains high quality by adhering to industry standards.Team Management: Lead and manage project teams using Agile Jira, fostering an environment of collaboration and continuous improvement.Manage Scrum: Oversee the Scrum process, ensuring that the team adheres to Scrum practices and principles throughout the project lifecycle.Post-Implementation Review: Conduct post-implementation reviews to ensure that the new products and solutions are meeting project goals and identify areas for improvement in future projects.-Educational Background: Bachelor's degree in Information Technology, Business Administration, or related field.-Certifications: Project Management Professional (PMP) or Certified Scrum Master (CSM) certifications are preferred.Experience:-At least 5 years of experience in project management, specifically in product or solution implementations, with a focus on using Scrum-based methodologies-Worked hands on in Microsoft Project Planning (MPP).-Experience in managing JavaScript-based implementation projects is preferred.-Technical Proficiency: Proficiency in Agile project management tools like Jira, MS Project, or similar. Understanding of IT infrastructure and software development cycles.-Exposure to cloud technologies such as AWS or Azure is required.-Analytical Skills: Strong analytical and problem-solving skills to handle potential obstacles during the implementation process.-Communication and Interpersonal Skills: Exceptional communication and stakeholder management skills to interact effectively with cross-functional teams and customers.

Key Skills required areJava, JDBC, AWS (Lambda, ECS, API Gateway, RDS, SQS, SNS, DynamoDB, MQ, Step Functions),Should be aware of Terraform, SQL, PL/SQL, Jenkins GitLab, Standard development toolsLocation-Chennai,Bengaluru,Hyderabad,Pune,Noida

Overall Experience: 5+ years of overall experience working in a modern software engineering environment with exposure to best practices in code management, devops and cloud data/ML engineering. Proven track record of developing and deploying machine learning models in production.ML Experience: 3+ years of experience in machine learning engineering, data science with a focus on fundamental statistical modeling. Experience in feature engineering, basic model tuning and understanding model drift over time. Strong foundations in statistics for applied ML. Data Experience: 1+ year(s) in building data engineering ETL processes, and BI reporting.NLP Experience: 1+ year(s) of experience working on NLP use cases, including large scale text data processing, storage and fundamental NLP models for text classification, topic modeling and/or more recently, LLM models and their applicationsCore Technical Skills: Proficiency in Python and relevant ML and/or NLP specific libraries. Strong SQL skills for data querying, analysis, and BI reporting. Experience with ETL tools and data pipeline management.BI Reporting: Experience in designing and optimizing data models for BI reporting, using tools like Tableau, Power BI, or similar.Education: Bachelors or Masters degree in Computer Science / Data Science, or a related field.

Experience: 7+ years of overall experience in data engineering roles, with at least 2+ years in a leadership capacity. Proven expertise in designing and deploying large-scale data systems and pipelines.Technical Skills:Proficiency in Python, Java, or Scala for data engineering tasks.Strong SQL skills for querying and optimizing large datasets.Experience with data processing frameworks like Apache Spark, Beam, or Flink.Hands-on experience with ETL tools like Apache NiFi, dbt, or Talend.Experience in pub sub and stream processing using Kafka/Kinesis or the likeCloud Platforms:Expertise in one or more cloud platforms (AWS, Azure, GCP) with a focus on data-related services.Data Modeling:Strong understanding of data modeling techniques (dimensional modeling, star/snowflake schemas).Collaboration:Proven ability to work with cross-functional teams and translate business requirements into technical solutions.Preferred Skills:Familiarity with data visualization tools like Tableau or Power BI to support reporting teams.Knowledge of MLOps pipelines and collaboration with data scientists.

Design, develop, and maintain both front-end and back-end components of web applications using Angular, NestJS, and TypeScriptCollaborate with other developers to ensure seamless integration between the front-end and back-end servicesDevelop and manage databases, primarily PostgreSQL and MongoDB, ensuring efficient data storage and retrievalCreate and maintain RESTful and GraphQL APIs to support front-end applicationsOptimize applications for maximum speed, scalability, and user experienceImplement and ensure the technical feasibility of UI/UX designs on the front-endWrite clean, maintainable, and testable code, adhering to best practices across the stackDebug and troubleshoot issues across the full stack, ensuring compatibility across various browsers and devicesImplement security best practices, including authentication, authorization, and data protection mechanismsConduct code reviews and provide feedback to team members to improve overall code qualityStay updated on emerging technologies and industry trends to continuously enhance the development processParticipate in Agile/Scrum ceremonies, including sprint planning, stand-ups, and retrospectives.

Design, develop, and maintain both front-end and back-end components of web applications using Angular, NestJS, and TypeScriptCollaborate with other developers to ensure seamless integration between the front-end and back-end servicesDevelop and manage databases, primarily PostgreSQL and MongoDB, ensuring efficient data storage and retrievalCreate and maintain RESTful and GraphQL APIs to support front-end applicationsOptimize applications for maximum speed, scalability, and user experienceImplement and ensure the technical feasibility of UI/UX designs on the front-endWrite clean, maintainable, and testable code, adhering to best practices across the stackDebug and troubleshoot issues across the full stack, ensuring compatibility across various browsers and devicesImplement security best practices, including authentication, authorization, and data protection mechanismsConduct code reviews and provide feedback to team members to improve overall code qualityStay updated on emerging technologies and industry trends to continuously enhance the development processParticipate in Agile/Scrum ceremonies, including sprint planning, stand-ups, and retrospectives

Overall Experience: 5+ years of overall experience working in a modern software engineering environment with exposure to best practices in code management, devops and cloud data/ML engineering. Proven track record of developing and deploying machine learning models in production.ML Experience: 3+ years of experience in machine learning engineering, data science with a focus on fundamental statistical modeling. Experience in feature engineering, basic model tuning and understanding model drift over time. Strong foundations in statistics for applied ML. Data Experience: 1+ year(s) in building data engineering ETL processes, and BI reporting.NLP Experience: 1+ year(s) of experience working on NLP use cases, including large scale text data processing, storage and fundamental NLP models for text classification, topic modeling and/or more recently, LLM models and their applicationsCore Technical Skills: Proficiency in Python and relevant ML and/or NLP specific libraries. Strong SQL skills for data querying, analysis, and BI reporting. Experience with ETL tools and data pipeline management.BI Reporting: Experience in designing and optimizing data models for BI reporting, using tools like Tableau, Power BI, or similar.Education: Bachelors or Masters degree in Computer Science / Data Science, or a related field.

Lead and mentor a team of 20+ developers, fostering a collaborative and productive working environment-Oversee the entire software development lifecycle, from requirement analysis to deployment and maintenance-Collaborate with stakeholders to understand business requirements and translate them into technical solutions-Architect and design scalable and efficient full-stack solutions using Angular, NestJS, TypeScript, PostgreSQL, and MongoDB-Ensure the seamless integration of front-end and back-end components, optimizing for performance, security, and scalability-Conduct regular code reviews to maintain high coding standards and provide constructive feedback to team members-Facilitate Agile processes, including sprint planning, stand-ups, and retrospectives, ensuring that the team meets delivery timelines-Identify and resolve technical challenges, guiding the team in implementing best practices for both front-end and back-end development-Monitor and improve application performance, scalability, and reliability, addressing any bottlenecks or technical issues-Stay updated on emerging technologies and trends, driving innovation within the team and the broader organization-Communicate effectively with both technical and non-technical stakeholders, providing updates on project status, risks, and solutions-Lead the implementation of DevOps practices, including continuous integration and deployment, to streamline development workflows-Support career development for team members, providing mentorship and identifying opportunities for skill enhancement and growth

Our company is seeking a skilled Selenium Developer with 3+ years of experience to join our team. As a Selenium Developer, you will play a key role in establishing and maintaining the test automation process. Your responsibilities will include participating in the evaluation and planning of the automation roadmap, maintaining and updating Selenium WebDriver and Rest azure scripts, designing and implementing a scalable test automation framework and strategy using Selenium WebDriver, and more.Roles and Responsibilities:Develop, design, and maintain UI automated test suites using Selenium WebDriver Java .Develop, design, and maintain UI automated test suites using Rest azure and Postman collections.Collaborate with software developers, quality assurance engineers, and project managers to ensure the delivery of high-quality software releases.Analyze user requirements, specifications, and technical design documents to offer timely and constructive feedback.Write clear and concise test cases and scripts.Execute, evaluate, and report test results for both manual and automated test cases.Identify and analyze software flaws, working closely with developers to find effective solutions.Stay updated with emerging testing tools, trends, and methodologies.Requirements and Skills:Solid understanding of Selenium WebDriver, Java, and proficiency in other programming languages.Familiarity with automated testing tools such as TestNG, JUnit, Rest azure and Cucumber.API automation using Postman collection.Knowledge of version control systems like Git.Understanding of agile development methodologies like Scrum and Kanban.Strong problem-solving abilities.Excellent communication skills.

Develop and maintain system interfaces and APIs.Ensure seamless integration between software applications.Work with RESTful and SOAP APIs for data exchange.Optimize data transmission processes for performance and reliability.Troubleshoot and resolve interface issues.Required Skills:Proficiency in API development (REST, SOAP, GraphQL).Strong experience in Java, Python, .NET, or Node.js.Hands-on experience with integration platforms (MuleSoft, Boomi, Talend, etc.).

Roles and Responsibilities:Develop, design, and maintain UI automated test suites using Selenium WebDriver Java .Collaborate with software developers, quality assurance engineers, and project managers to ensure the delivery of high-quality software releases.Analyze user requirements, specifications, and technical design documents to offer timely and constructive feedback.Write clear and concise test cases and scripts.Execute, evaluate, and report test results for both manual and automated test cases.Identify and analyze software flaws, working closely with developers to find effective solutions.Stay updated with emerging testing tools, trends, and methodologies.Requirements and Skills:Solid understanding of Selenium WebDriver, Java, and proficiency in other programming languages.Familiarity with automated testing tools such as TestNG, JUnit, Rest azure and Cucumber.Knowledge of version control systems like Git.Understanding of agile development methodologies like Scrum and Kanban.Strong problem-solving abilities.Excellent communication skills.

Our company is seeking a skilled Selenium Developer with 5+ years of experience to join our team. As a Selenium Developer, you will play a key role in establishing and maintaining the test automation process. Your responsibilities will include participating in the evaluation and planning of the automation roadmap, maintaining and updating Selenium WebDriver and Rest azure scripts, designing and implementing a scalable test automation framework and strategy using Selenium WebDriver, and more.Roles and Responsibilities:Develop, design, and maintain UI automated test suites using Selenium WebDriver Java .Collaborate with software developers, quality assurance engineers, and project managers to ensure the delivery of high-quality software releases.Analyze user requirements, specifications, and technical design documents to offer timely and constructive feedback.Write clear and concise test cases and scripts.Execute, evaluate, and report test results for both manual and automated test cases.Identify and analyze software flaws, working closely with developers to find effective solutions.Stay updated with emerging testing tools, trends, and methodologies.Requirements and Skills:Solid understanding of Selenium WebDriver, Java, and proficiency in other programming languages.Familiarity with automated testing tools such as TestNG, JUnit, Rest azure and Cucumber.Knowledge of version control systems like Git.Understanding of agile development methodologies like Scrum and Kanban.Strong problem-solving abilities.Excellent communication skills.

Accomplished production experience of over 4 to 7 years in the use of cutting-edge technologies such as Angular, HTML, CSS, SQL(postgress) NOSQL(mongo) and mobile frameworks and sound knowledge and hands on experience developing enterprise applications using tools and libraries. You will be an innovative leader providing quality solutions and lead a team to enable successful deployment.Duties Responsibilities:Responsible for solution architecture, design and development using above technologies and frameworks in diverse domainsDesign competitive and performant application services with a rich user experienceLead the team members in a CI/CD environment with sound development practises and repository management principlesSkills Abilities: (Technical and General)Minimum Requirements:Expert-level understanding of application architecture and sound knowledge of full stack development and excellent ability to troubleshoot at all layers of the stack.Should be well-versed in the usage of development tools and techniques for a CI/CD environment.Excellent understanding of complex system architecture, components and requirements.Highly innovative systematic and capable of redefining solutions to overcome the competition.Self-driven, energetic, creative, with ability to work with teams

Key Responsibilities:Design, develop, test, and maintain backend systems using Java and PythonBuild RESTful APIs and microservices to support front-end applications and third-party integrationsParticipate in requirement analysis, solution design, and code reviewsCollaborate with DevOps, QA, and front-end teams for seamless deliveryWrite clean, maintainable, and well-documented codeEnsure performance, scalability, and security of applicationsMaintain and optimize database systems (SQL / NoSQL) used in application backendsTroubleshoot production issues and provide timely resolutionsKeep up with latest industry trends and apply best practices.Primary Skills required are Java(Higher experience / Good knowledge), Python, AWS (Lambda, ECS, API Gateway, RDS, SQS, SNS, DynamoDB, MQ, Step Functions), Terraform, SQLGood to have Skills :Jenkins, GitLab CI, low-level solution design.Location - Pune,Noida.

Proficient in JavaScript and TypeScript.Strong experience with Node.js and backend frameworks (e.g., Express, LoopBack, NestJS).Expertise in building modern front-end applications using frameworks like React, and Angular.Solid understanding of relational and non-relational databases, including data modeling and optimizationHands-on experience with API development (RESTful ).Familiarity with version control systems like Git.Knowledge of cloud platforms (AWS) and CI/CD pipelinesUnderstanding of web security best practices and performance optimizationAbility to write clean, maintainable, and well-documented code.Experience with serverless architectures (e.g., AWS Lambda, Google Cloud Functions).Proficiency in real-time communication technologies such as WebSockets or Socket.IO.Familiarity with testing frameworks like Jest, Mocha,SonarQube or Cypress.Exposure to Agile/Scrum development methodologies.Prior experience working with microservices architecture.

Design, develop, and maintain both front-end and back-end components of web applications using Angular, Nodejs, and TypeScriptCollaborate with other developers to ensure seamless integration between the front-end and back-end servicesDevelop and manage databases, primarily PostgreSQL and MongoDB, ensuring efficient data storage and retrievalCreate and maintain RESTful and GraphQL APIs to support front-end applicationsOptimize applications for maximum speed, scalability, and user experienceImplement and ensure the technical feasibility of UI/UX designs on the front-endWrite clean, maintainable, and testable code, adhering to best practices across the stackDebug and troubleshoot issues across the full stack, ensuring compatibility across various browsers and devicesImplement security best practices, including authentication, authorization, and data protection mechanismsConduct code reviews and provide feedback to team members to improve overall code qualityStay updated on emerging technologies and industry trends to continuously enhance the development processParticipate in Agile/Scrum ceremonies, including sprint planning, stand-ups, and retrospectives

Java Spring boot + JavaAWS Experience is mustPostgres database experienceFrontend react is great advantage8+ Years of experience with hands on coding and Solution architectureGood ommunicationWork Timing - 2 PM 12AM

Implement regular/nightly maintenance processes to maintain indexes andoptimized databases to improve performance.Management of Orphan Processes.Monitoring of SQL Agent Jobs.Daily DBA review of all daily jobs in addition to database email alertsConfigure SQL alerts for issues that can impact performance, such as DB deadlock.Troubleshooting issues and ensuring the availability and reliability of databases.Ensuring data consistency and synchronization across different systems.Setting up user roles, permissions, and authentication mechanisms.Data manipulation. (insert, update, delete)Database environment to manage consist of the below.

Develop and maintain system interfaces and APIs.Ensure seamless integration between software applications.Work with RESTful and SOAP APIs for data exchange.Optimize data transmission processes for performance and reliability.Troubleshoot and resolve interface issues.Required Skills:Proficiency in API development (REST, SOAP, GraphQL).Strong experience in Java, Python, .NET, or Node.js.Hands-on experience with integration platforms (MuleSoft, Boomi, Talend, etc.).

Overall Experience: 5+ years of overall experience working in a modern software engineering environment with exposure to best practices in code management, devops and cloud data/ML engineering. Proven track record of developing and deploying machine learning models in production.ML Experience: 3+ years of experience in machine learning engineering, data science with a focus on fundamental statistical modeling. Experience in feature engineering, basic model tuning and understanding model drift over time. Strong foundations in statistics for applied ML. Data Experience: 1+ year(s) in building data engineering ETL processes, and BI reporting.NLP Experience: 1+ year(s) of experience working on NLP use cases, including large scale text data processing, storage and fundamental NLP models for text classification, topic modeling and/or more recently, LLM models and their applicationsCore Technical Skills: Proficiency in Python and relevant ML and/or NLP specific libraries. Strong SQL skills for data querying, analysis, and BI reporting. Experience with ETL tools and data pipeline management.BI Reporting: Experience in designing and optimizing data models for BI reporting, using tools like Tableau, Power BI, or similar.Education: Bachelors or Masters degree in Computer Science / Data Science, or a related field.

Implement regular/nightly maintenance processes to maintain indexes andoptimized databases to improve performance.Management of Orphan Processes.Monitoring of SQL Agent Jobs.Daily DBA review of all daily jobs in addition to database email alertsConfigure SQL alerts for issues that can impact performance, such as DB deadlock.Troubleshooting issues and ensuring the availability and reliability of databases.Ensuring data consistency and synchronization across different systems.Setting up user roles, permissions, and authentication mechanisms.Data manipulation. (insert, update, delete)Database environment to manage consist of the below.

Cloud Data Engineering + Cloud Data Architecture + Data Integration Data Architecture Expertise:Lead the design and implementation of robust, scalable and secure data platform architecture that meet business requirements and industry best practices.Solution Design Expertise: Serve as a trusted advisor to our data architecture, data engineering teams, providing guidance on cloud architecture design, implementation strategies and best practicesGCP Expertise:Demonstrate proficiency in GCP tools and services, including BigQuery, CloudSpanner, Dataflow, DataForm, Dataprep, and Healthcare APIs. Stay abreast of GCP updates and incorporate new features into our architectureSolution Implementation: Guide, mentor and work with the development team translating architectural design into scalable system(s). Enable Continuous Integration and Continuous Deployment of data model, data pipelines, etcHealthcare Domain Knowledge is good to haveCost Optimization: Analyze GCP Services and spending patterns to identify opportunities for cost optimization. Provide architecture recommendations on that selection and resource allocationArrive at data solution diagrams including data flow diagrams, use case models,etc.Collaborate with Data Modelers, Data Engineers, QA team and stakeholders to ensure thorough understanding of requirements and delivery integrated solutionExpert using SQLAdvanced experience with ETL/ELT architecture, Data Integration, warehouse implementations and experience with enterprise level ETL/ELT tools.Programming language proficiency in Python, etcAdvanced understanding of data normalization and denormalization techniques.Exposure to batch, real-time, near real-time and various data integration patternsStrong interpersonal skills including the ability to lead and facilitate discussions with business and technical stakeholders from executive level leadership to daily hands-on contributors.Expert in time-management and self-directed activity.Minimum of 2 Years + experience as an ArchitectLocation - Remote, Chennai, Bengaluru, Hyderabad, Delhi, NCR, Noida, Mumbai, Pune, Ahmedabad, Bangalore

Atleast 2 Projects done as Data ModelerDiscover, analyze, and scope data requirements ; create high level process models to represent processes for the area under analysisAnalyze existing business system data, data profiling, and source analysisCreate detailed mapping documents covering source to target mapping, transformation logic and harmonizationDesign Data Architecture, Strategy, Employ Entity-Relationship modeling with the intent of producing a design best suited for retrospective analysis of data.Determine the right set of facts and surrounding dimensions suited to perform the desired type of analysis or queries against the data.Arrive at data solution diagrams including data flow diagrams, use case models, etc.Skilled in analyzing existing business system data, data profiling and source analysis.Expert using SQLExperts in understanding business need to translate those needs into an effective model.Expert in Entity-Relationship modeling, with specific expertise in Star/Snowflake Schema modeling.Experience implementing IBM UDMH Model - Atomic or Dimensional ModelExposure in one or more enterprise-level Modeling tools, IDA, ERWin, ER-Studio, etcHealthcare Domain Knowledge is a must; Exposure to HL7, FHIR, OMOP will be a plusAdvanced understanding of data normalization and denormalization techniques.Expert in Metadata management and tools.Advanced experience in Master Data management/systems and Reference Data management/systems.Advanced experience with modeling process creation and implementation.Experts in understanding business need to translate those needs into an effective modelLocation-Chennai,Hyderabad,Bengaluru,Noida,Gurugram,Pune,Ahmedabad,Mumbai,Remote, Delhi, NCR, Kolkatta, WFH, "work from home"

Java Spring Boot + Java AWS ExperiencePostgress Database ExpFront End React is a great advantage8+ Years of Experience with Hands on Coding + Solution Architecture Good CommunicationWorking Remote - 2PM to 12 AM shiftExperience in groovy is mustLocation-Chennai,Bengaluru,Hyderabad,Pune,Noida,Mumbai,Kolkatta, remote

Develop data migration strategies and plans.Perform ETL operations and data transformation.Work with cross-functional teams to ensure data consistency and integrity.Identify and resolve data quality issues.Document migration processes and best practices.Required Skills:Expertise in SQL, ETL tools (Informatica, Talend, SSIS, etc.).Experience in handling large-scale data migrations.Familiarity with cloud data platforms (AWS, Azure, GCP)."

Required SkillsExperience building and managing ETL pipelines with large datasets using AWS services including Lambda, EventBridge, Step Functions, SNS, SQS, and S3. Hands-on experience is a MUST TO HAVE. Bonus: Knowledge of Kinesis or Kafka.Strong Python skills with experience in Spark/PySpark and working with APIs.(JAVA)Experienced in developing AWS APIs and configuring API Gateway.Proficient in writing SQL queries and optimizing performance in relational databases like Postgres. Need hands-on experience in Redis Cache and DynamoDBPractical experience with AWS services including Lambda, EventBridge, Step Functions, SNS, SQS, and S3.Experience working with CI/CD pipelines using GitHub Actions and agile development practices.Familiar with IAM roles and policies in AWS.Location- Kolkatta, Remote, Delhi, NCR, Bengaluru,Pune,Noida,Hyderabad, Chennai, Mumbai

Key Responsibilities:Data Pipeline Design & DevelopmentDesign and develop scalable, resilient, and secure ETL/ELT data pipelines using AWS services.Build and optimize data workflows leveraging AWS Glue, EMR, Lambda, and Step Functions.Implement batch and real-time data ingestion using Kafka, Kinesis, or AWS Data Streams.Ensure efficient data movement across S3, Redshift, DynamoDB, RDS, and Snowflake.Cloud Data Engineering & StorageArchitect and manage data lakes and data warehouses using Amazon S3, Redshift, and Athena.Optimize data storage and retrieval using Parquet, ORC, Avro, and columnar storage formats.Implement data partitioning, indexing, and query performance tuning.Work with NoSQL databases (DynamoDB, MongoDB) and relational databases (PostgreSQL, MySQL, Aurora).Infrastructure as Code (IaC) & AutomationDeploy and manage AWS data infrastructure using Terraform, AWS CloudFormation, or AWS CDK.Implement CI/CD pipelines for automated data pipeline deployments using GitHub Actions, Jenkins, or AWS CodePipeline.Automate data workflows and job orchestration using Apache Airflow, AWS Step Functions, or MWAA.Performance Optimization & MonitoringOptimize Spark, Hive, and Presto queries for performance and cost efficiency.Implement auto-scaling strategies for AWS EMR clusters.Set up monitoring, logging, and alerting with AWS CloudWatch, CloudTrail, and Prometheus/Grafana.Security, Compliance & GovernanceImplement IAM policies, encryption (AWS KMS), and role-based access controls.Ensure compliance with GDPR, HIPAA, and industry data governance standards.Monitor data pipelines for security vulnerabilities and unauthorized access.Collaboration & Stakeholder EngagementWork closely with data analysts, data scientists, and business teams to understand data needs.Document data pipeline designs, architecture decisions, and best practices.Mentor and guide junior data engineers on AWS best practices and optimization techniques.Required Qualifications:Experience: 6+ years in data engineering with a focus on AWS cloud technologies.Technical Skills:Expertise in AWS Glue, Lambda, EMR, Redshift, Kinesis, and Step Functions.Proficiency in SQL, Python, and PySpark for data transformations.Strong understanding of ETL/ELT best practices and data warehousing concepts.Experience with Apache Airflow or Step Functions for orchestration.Familiarity with Kafka, Kinesis, or other streaming platforms.Knowledge of Terraform, CloudFormation, and DevOps for AWS.Preferred Skills:Experience with AWS Lake Formation and Data Catalog for metadata management.Knowledge of Databricks, Snowflake, or BigQuery for data analytics.AWS Certified Data Analytics Specialty or AWS Certified Solutions Architect is a plus.Soft Skills:Strong problem-solving and analytical thinking.Excellent communication and collaboration abilities.Ability to work independently and in agile teams.A proactive approach to identifying and addressing challenges in data workflows.Location-Bengaluru,Pune,Noida,Hyderabad

Atleast 2 Projects done as Data ModelerDiscover, analyze, and scope data requirements ; create high level process models to represent processes for the area under analysisAnalyze existing business system data, data profiling, and source analysisCreate detailed mapping documents covering source to target mapping, transformation logic and harmonizationDesign Data Architecture, Strategy, Employ Entity-Relationship modeling with the intent of producing a design best suited for retrospective analysis of data.Determine the right set of facts and surrounding dimensions suited to perform the desired type of analysis or queries against the data.Arrive at data solution diagrams including data flow diagrams, use case models, etc.Skilled in analyzing existing business system data, data profiling and source analysis.Expert using SQLExperts in understanding business need to translate those needs into an effective model.Expert in Entity-Relationship modeling, with specific expertise in Star/Snowflake Schema modeling.Experience implementing IBM UDMH Model - Atomic or Dimensional ModelExposure in one or more enterprise-level Modeling tools, IDA, ERWin, ER-Studio, etcHealthcare Domain Knowledge is a must; Exposure to HL7, FHIR, OMOP will be a plusAdvanced understanding of data normalization and denormalization techniques.Expert in Metadata management and tools.Advanced experience in Master Data management/systems and Reference Data management/systems.Advanced experience with modeling process creation and implementation.Experts in understanding business need to translate those needs into an effective model.Location - Remote, Kolkatta, Delhi, NCR, Ahmedabd, Mumbai,Pune,Noida.

Develop data migration strategies and plans.Perform ETL operations and data transformation.Work with cross-functional teams to ensure data consistency and integrity.Identify and resolve data quality issues.Document migration processes and best practices.Required Skills:Expertise in SQL, ETL tools (Informatica, Talend, SSIS, etc.).Experience in handling large-scale data migrations.Familiarity with cloud data platforms (AWS, Azure, GCP).

Design, develop, and maintain both front-end and back-end components of web applications using Angular, NestJS, and TypeScriptCollaborate with other developers to ensure seamless integration between the front-end and back-end servicesDevelop and manage databases, primarily PostgreSQL and MongoDB, ensuring efficient data storage and retrievalCreate and maintain RESTful and GraphQL APIs to support front-end applicationsOptimize applications for maximum speed, scalability, and user experienceImplement and ensure the technical feasibility of UI/UX designs on the front-endWrite clean, maintainable, and testable code, adhering to best practices across the stackDebug and troubleshoot issues across the full stack, ensuring compatibility across various browsers and devicesImplement security best practices, including authentication, authorization, and data protection mechanismsConduct code reviews and provide feedback to team members to improve overall code qualityStay updated on emerging technologies and industry trends to continuously enhance the development processParticipate in Agile/Scrum ceremonies, including sprint planning, stand-ups, and retrospectives.

Experience: 7+ years of overall experience in data engineering roles, with at least 2+ years in a leadership capacity. Proven expertise in designing and deploying large-scale data systems and pipelines.Technical Skills:Proficiency in Python, Java, or Scala for data engineering tasks.Strong SQL skills for querying and optimizing large datasets.Experience with data processing frameworks like Apache Spark, Beam, or Flink.Hands-on experience with ETL tools like Apache NiFi, dbt, or Talend.Experience in pub sub and stream processing using Kafka/Kinesis or the likeCloud Platforms:Expertise in one or more cloud platforms (AWS, Azure, GCP) with a focus on data-related services.Data Modeling:Strong understanding of data modeling techniques (dimensional modeling, star/snowflake schemas).Collaboration:Proven ability to work with cross-functional teams and translate business requirements into technical solutions.Preferred Skills:Familiarity with data visualization tools like Tableau or Power BI to support reporting teams.Knowledge of MLOps pipelines and collaboration with data scientists.

Extensive experience in solution architecture, with a strong understanding of architecture principles and frameworksProficiency in creating and interpreting architecture diagrams using tools like Visio, Lucidchart, or similarStrong technical writing skills, with the ability to produce clear and comprehensive technical documentationExperience in delivering technical presentations and workshops to both technical and non-technical audiencesDeep understanding of various technologies, including cloud platforms, databases, and integration methodsAbility to analyze complex requirements and translate them into actionable architecture solutionsStrong problem-solving skills, with the ability to address technical challenges and provide innovative solutionsExcellent communication skills, with the ability to convey technical concepts clearly and effectively to clientsExperience working with cross-functional teams, including developers, engineers, and project managersBachelors degree in Computer Science, Information Technology, or a related field (or equivalent work experience)

Design, develop, and maintain both front-end and back-end components of web applications using Angular, NestJS, and TypeScriptCollaborate with other developers to ensure seamless integration between the front-end and back-end servicesDevelop and manage databases, primarily PostgreSQL and MongoDB, ensuring efficient data storage and retrievalCreate and maintain RESTful and GraphQL APIs to support front-end applicationsOptimize applications for maximum speed, scalability, and user experienceImplement and ensure the technical feasibility of UI/UX designs on the front-endWrite clean, maintainable, and testable code, adhering to best practices across the stackDebug and troubleshoot issues across the full stack, ensuring compatibility across various browsers and devicesImplement security best practices, including authentication, authorization, and data protection mechanismsConduct code reviews and provide feedback to team members to improve overall code qualityStay updated on emerging technologies and industry trends to continuously enhance the development processParticipate in Agile/Scrum ceremonies, including sprint planning, stand-ups, and retrospectives