745 Amazon Redshift Jobs - Page 24

Primary skill : AWS, Quicksight Secondary skill : AWS Glue, Lambda, Athena, Redshift, Aurora Experience : 5-9 years Location : Pune/Mumbai/Chennai/Noida/Bangalore/Coimbatore Notice period : Immediate joiners Design, develop, and maintain large-scale data pipelines using AWS services such as Athena, Aurora, Glue, Lambda, and Quicksight. Develop complex SQL queries to extract insights from massive datasets stored in Amazon Redshift.

Job Summary : We are looking for a highly skilled AWS Data Engineer with over 5 years of experience in designing, developing, and maintaining scalable data pipelines on AWS. The ideal candidate will be proficient in data engineering best practices and cloud-native technologies, with hands-on experience in building ETL/ELT pipelines, working with large datasets, and optimizing data architecture for analytics and business intelligence. Key Responsibilities : Design, build, and maintain scalable and robust data pipelines and ETL processes using AWS services (e.g., Glue, Lambda, EMR, Redshift, S3, Athena). Collaborate with data analysts, data scientists, and stakeholders to understand data requirements and deliver high-quality solutions. Implement data lake and data warehouse architectures, ensuring data governance, data quality, and compliance. Optimize data pipelines for performance, reliability, scalability, and cost. Automate data ingestion and transformation workflows using Python, PySpark, or Scala. Manage and monitor data infrastructure including logging, error handling, alerting, and performance metrics. Leverage infrastructure-as-code tools like Terraform or AWS CloudFormation for infrastructure deployment. Ensure security best practices are implemented for data access and storage (IAM, KMS, encryption, etc.). Document data processes, architectures, and standards. Required Qualifications : Bachelors or Master’s degree in Computer Science, Information Systems, or a related field. Minimum 5 years of experience as a Data Engineer with a focus on AWS cloud services. Strong experience in building ETL/ELT pipelines using AWS Glue, EMR, Lambda , and Step Functions . Proficiency in SQL , Python , PySpark , and data modeling techniques. Experience working with data lakes (S3) and data warehouses (Redshift, Snowflake, etc.) . Experience with Athena , Kinesis , Kafka , or similar streaming data tools is a plus. Familiarity with DevOps and CI/CD processes, using tools like Git , Jenkins , or GitHub Actions . Understanding of data privacy, governance, and compliance standards such as GDPR, HIPAA, etc. Strong problem-solving and analytical skills, with the ability to work in a fast-paced environment.

Role Description? The role leverages domain and business process expertise to detail product requirements as epics and user stories, along with supporting artifacts like business process maps, use cases, and test plans for Clinical Trial Data & Analytics (CTDA) Product Team . This role involves working closely with varied business stakeholders across R&D , Data engineers , Data Analysts, and Testers to ensure that the technical requirements for upcoming development are thoroughly elaborated. This enables the delivery team to estimate, plan, and commit to delivery with high confidence and identify test cases and scenarios to ensure the quality and performance of IT Systems. You will analyze business requirements and design information systems solutions. You will collaborate with multi-functional teams to understand business needs, identify system enhancements, and drive system implementation projects. Your solid experience in business analysis, system design, and project management will enable you to deliver innovative and effective technology products. Roles & Responsibilities? ? Collaborate with System Architects and Product Owners to manage business analysis activities for CTDA systems, ensuring alignment with engineering and product goals ? Capture the voice of the customer to define business processes and product needs ? Collaborate with CTDA business stakeholders , Architects and Engineering teams to prioritize release scopes and refine the Product backlog ? Facilitate the breakdown of Epics into Features and Sprint-Sized User Stories and participate in backlog reviews with the development team ? Clearly express features in User Stories/requirements so all team members and stakeholders understand how they fit into the product backlog ? Ensure Acceptance Criteria and Definition of Done are well-defined ? Stay focused on software development to ensure it meets requirements, providing proactive feedback to stakeholders ? Develop and execute effective product demonstrations for internal and external stakeholders ? Help develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and achievements ? Identify and manage risks associated with the systems, requirement validation, and user acceptance ? Develop & maintain documentations of configurations, processes, changes, communication plans and training plans for end users ? Ensure operational excellence, cybersecurity, and compliance. ? Collaborate with geographically dispersed teams, including those in the US and other international locations. ? Foster a culture of collaboration, innovation, and continuous improvement ? ? Basic Qualifications and Experience? Master’s degree with 4 - 6 years of experience in Computer Science/Information Systems experience with Agile Software Development methodologies OR? ? Bachelor’s degree with 6 - 8 years of experience in Computer Science/Information Systems experience with Agile Software Development methodologies OR ? Diploma with 10 - 12 years of experience in Computer Science/Information Systems experience with Agile Software Development methodologies ? Functional Skills: ? Must-Have Skills? ? Proven abilit y in translating business requirements into technical specifications and writing user requirement documents. Experience with Agile software development methodologies (Scrum) ? Excellent communication skills and the ability to interface with senior leadership with confidence and clarity ? Strong knowledge of ETL process ? Familiarity with regulatory requirements for Clinical Trials ( e.g. 21 CFR Part11, ICH) ? ? Good-to-Have Skills: ? Experience in managing product features for PI planning and developing product roadmaps and user journeys ? Experience maintaining SaaS (software as a system) solutions and COTS (Commercial off the shelf) solutions ? Technical thought leadership ? Able to communicate technical or complex subject matters in business terms ? Experience with data analysis, data modeling, and data visualization solutions such as Tableau and Spotfire ? Hands on experience writing SQL using any RDBMS (Redshift, Postgres, MySQL, Teradata, Oracle, etc.) ? Experience with AWS Services (like EC2, S3), Salesforce, Jira, and API gateway, etc. ? Professional Certifications (please mention if the certification is preferred or mandatory for the role)? SAFe for Teams certification (preferred) ? Certified Business Analysis Professional (Preferred) ? ? Soft Skills: ? Able to work under minimal supervision ? Skilled in providing oversight and mentoring team members. Demonstrated ability in effectively delegating work ? Excellent analytical and gap/fit assessment skills ? Strong verbal and written communication skills ? Ability to work effectively with global, virtual teams ? High degree of initiative and self-motivation ? Ability to manage multiple priorities successfully ? Team-oriented, with a focus on achieving team goals ? Strong presentation and public speaking skills ? Shift Information? This position operates on the second shift, from 2:00 PM to 10:00 PM IST. Candidates must be willing and able to work during these hours .

What you will do Let’s do this. Let’s change the world. In this vital role you will responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and implementing data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing Be a key team member that assists in design and development of the data pipeline Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks Collaborate with multi-functional teams to understand data requirements and design solutions that meet business needs Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate and communicate effectively with product teams Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions Adhere to standard methodologies for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelor’s degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience Preferred Qualifications: Functional Skills: Must-Have Skills Proficiency in Python, PySpark, and Scala for data processing and ETL (Extract, Transform, Load) workflows, with hands-on experience in using Databricks for building ETL pipelines and handling big data processing Experience with data warehousing platforms such as Amazon Redshift, or Snowflake. Strong knowledge of SQL and experience with relational (e.g., PostgreSQL, MySQL) databases. Familiarity with big data frameworks like Apache Hadoop, Spark, and Kafka for handling large datasets. Experienced with software engineering best-practices, including but not limited to version control (GitLab, Subversion, etc.), CI/CD (Jenkins, GITLab etc.), automated unit testing, and Dev Ops Good-to-Have Skills: Experience with cloud platforms such as AWS particularly in data services (e.g., EKS, EC2, S3, EMR, RDS, Redshift/Spectrum, Lambda, Glue, Athena) Strong understanding of data modeling, data warehousing, and data integration concepts Understanding of machine learning pipelines and frameworks for ML/AI models Professional Certifications: AWS Certified Data Engineer (preferred) Databricks Certified (preferred) Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com

What you will do Let’s do this. Let’s change the world. In this vital role you are responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing Be a key team member that assists in design and development of the data pipeline Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate and communicate effectively with product teams Identify and resolve complex data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelor’s degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience Preferred Qualifications: Functional Skills: Must-Have Skills : Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), AWS, Redshift, Snowflake, workflow orchestration, performance tuning on big data processing Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools. Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development Proven ability to optimize query performance on big data platforms Good-to-Have Skills: Experience with data modeling, performance tuning, on relational and graph databases( e.g. Marklogic, Allegrograph, Stardog, RDF Triplestore).. Strong understanding of data modeling, data warehousing, and data integration concepts Knowledge of Python/R, Databricks, SageMaker, cloud data platform Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing Professional Certifications : AWS Certified Data Engineer preferred Databricks Certificate preferred Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. Equal opportunity statement Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com

What you will do Let’s do this. Let’s change the world. In this vital role you areresponsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing Be a key team member that assists in design and development of the data pipeline Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate and communicate effectively with product teams Identify and resolve complex data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Bachelor’s degree and 0 to 3 years of Computer Science, IT or related field experience OR Diploma and 4 to 7 years of Computer Science, IT or related field experience Preferred Qualifications: Functional Skills: Must-Have Skills : Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), AWS, Redshift, Snowflake, workflow orchestration, performance tuning on big data processing Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools. Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores. Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development Good-to-Have Skills: Experience with data modeling, performance tuning on relational and graph databases ( e.g. Marklogic, Allegrograph, Stardog, RDF Triplestore). Understanding of data modeling, data warehousing, and data integration concepts Knowledge of Python/R, Databricks, SageMaker, cloud data platform Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing Professional Certifications : AWS Certified Data Engineer preferred Databricks Certificate preferred Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. Equal opportunity statement Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com

Data Modeller Chennai - Guindy, India Information Technology 17074 Overview A Data Modeller is responsible for designing, implementing, and managing data models that support the strategic and operational needs of an organization. This role involves translating business requirements into data structures, ensuring consistency, accuracy, and efficiency in data storage and retrieval processes. Responsibilities Develop and maintain conceptual, logical, and physical data models. Collaborate with business analysts, data architects, and stakeholders to gather data requirements. Translate business needs into efficient database designs. Optimize and refine existing data models to support analytics and reporting. Ensure data models support data governance, quality, and security standards. Work closely with database developers and administrators on implementation. Document data models, metadata, and data flows. Requirements Bachelors or Masters degree in Computer Science, Information Systems, Data Science, or related field. Data Modeling Tools: ER/Studio, ERwin, SQL Developer Data Modeler, or similar. Database Technologies: Proficiency in SQL and familiarity with databases like Oracle, SQL Server, MySQL, PostgreSQL. Data Warehousing: Experience with dimensional modeling, star and snowflake schemas. ETL Processes: Knowledge of Extract, Transform, Load processes and tools. Cloud Platforms: Familiarity with cloud data services (e.g., AWS Redshift, Azure Synapse, Google BigQuery). Metadata Management & Data Governance: Understanding of data cataloging and governance principles. Strong analytical and problem-solving skills. Excellent communication skills to work with business stakeholders and technical teams. Ability to document models clearly and explain complex data relationships. 5+ years in data modeling, data architecture, or related roles. Experience working in Agile or DevOps environments is often preferred. Understanding of normalization/denormalization. Experience with business intelligence and reporting tools. Familiarity with master data management (MDM) principles.

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 : Snowflake Data Warehouse Good to have skills : NAMinimum 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 their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & 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.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Good To Have Skills: Experience with data modeling and database design.- Strong understanding of ETL processes and data integration techniques.- Familiarity with cloud platforms such as AWS or Azure.- Experience in performance tuning and optimization of data queries. Additional Information:- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : AWS Redshift Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to gather requirements, developing application features, and ensuring that the applications align with business objectives. You will also engage in problem-solving activities, providing innovative solutions to enhance application performance and user experience, while maintaining a focus on quality and efficiency throughout the development process. Roles & 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in AWS Redshift.- Strong understanding of data warehousing concepts and best practices.- Experience with ETL processes and data integration techniques.- Familiarity with SQL and database management.- Ability to troubleshoot and optimize application performance. Additional Information:- The candidate should have minimum 7.5 years of experience in AWS Redshift.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Python (Programming Language), Oracle Procedural Language Extensions to SQL (PLSQL), AWS Aurora, PySpark Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. Your typical day will involve collaborating with team members to develop innovative solutions and ensure seamless application functionality. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Develop and implement software solutions using Python.- Collaborate with cross-functional teams to analyze and address technical issues.- Conduct code reviews and provide feedback to enhance code quality.- Stay updated on industry trends and best practices in software development.- Assist in troubleshooting and resolving application issues. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language), PySpark, AWS Aurora, Oracle Procedural Language Extensions to SQL (PLSQL).- Strong understanding of software development methodologies.- Experience in developing and maintaining applications.- Knowledge of database management systems.- Familiarity with cloud computing platforms.- Ready to work in shifts -12 PM to 10 PM Additional Information:- The candidate should have a minimum of 5 years of experience in Python (Programming Language).- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : AWS Glue Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team in implementing effective solutions. You will also engage in strategic planning sessions to align project goals with organizational objectives, ensuring that all stakeholders are informed and involved in the development process. Your role will require you to balance technical oversight with team management, fostering an environment of innovation and collaboration. Roles & 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.- Mentor junior team members to enhance their skills and knowledge.- Facilitate regular team meetings to discuss progress and address any roadblocks. Professional & Technical Skills: - Must To Have Skills: Proficiency in AWS Glue.- Good To Have Skills: Experience with AWS Lambda, AWS S3, and AWS Redshift.- Strong understanding of data integration and ETL processes.- Experience with cloud-based data warehousing solutions.- Familiarity with data governance and security best practices. Additional Information:- The candidate should have minimum 7.5 years of experience in AWS Glue.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : AWS Analytics Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the architecture aligns with business needs and technical specifications. You will collaborate with various teams to ensure that data flows seamlessly across the organization, contributing to the overall efficiency and effectiveness of data management practices. Roles & 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Develop and maintain documentation related to data architecture and design. Professional & Technical Skills: - Must To Have Skills: Proficiency in AWS Analytics.- Strong understanding of data modeling techniques and best practices.- Experience with data integration tools and methodologies.- Familiarity with cloud data storage solutions and architectures.- Ability to analyze and optimize data workflows for performance. Additional Information:- The candidate should have minimum 5 years of experience in AWS Analytics.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

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 : Data Analytics Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education:**Position Summary :**The Data Analyst will focus on collecting, cleaning, and analyzing data to support business decisions.**Key Responsibilities:**- Gather, process, and analyze data to identify trends and insights.- Develop dashboards and reports to communicate findings.- Collaborate with stakeholders to understand data needs.- Ensure data accuracy and quality in all analyses.- Prepare and clean datasets for analysis to ensure accuracy and usability.- Generate reports and dashboards to communicate key performance metrics.- Support data-driven decision-making by identifying actionable insights.- Monitor data pipelines and troubleshoot issues to ensure smooth operation.- Collaborate with cross-functional teams to understand and meet data needs.** Qualifications:**- Bachelor's degree in a relevant field (e.g., Data Science, Statistics, Computer Science).- 2-4 years of experience in data analytics.- Proficiency in tools like Power BI, Tableau, and SQL.- Strong analytical and problem-solving skills.- Effective communication and teamwork abilities. Additional Information:- The candidate should have minimum 5 years of experience in Data Analytics.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : AWS BigData Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your day will involve overseeing the application development process and ensuring project success. Roles & 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- Expected to provide solutions to problems that apply across multiple teams- Lead the application development process effectively- Ensure timely delivery of projects- Provide guidance and mentorship to team members Professional & Technical Skills: - Must To Have Skills: Proficiency in AWS BigData- Strong understanding of cloud computing and AWS services- Experience in designing and implementing Big Data solutions- Knowledge of data warehousing and data lake concepts- Hands-on experience with big data technologies such as Hadoop and Spark Additional Information:- The candidate should have a minimum of 12 years of experience in AWS BigData- This position is based at our Gurugram office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : AWS Glue Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your day will involve overseeing the application development process, coordinating with team members, and ensuring project milestones are met. Roles & 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- Lead the effort to design, build, and configure applications- Act as the primary point of contact for the application development process- Coordinate with team members to ensure project milestones are met- Provide guidance and support to team members throughout the development lifecycle Professional & Technical Skills: - Must To Have Skills: Proficiency in AWS Glue- Strong understanding of cloud computing principles- Experience in designing and implementing scalable applications- Knowledge of data integration and ETL processes- Hands-on experience with AWS services such as S3, Lambda, and Redshift Additional Information:- The candidate should have a minimum of 12 years of experience in AWS Glue- This position is based at our Gurugram office- A 15 years full-time education is required Qualification 15 years full time education

Job Summary: We are seeking a skilled * Associate Informatica Developer* with *2 - 4 years of experience* in designing, developing, and maintaining ETL processes using *Informatica PowerCenter*. The ideal candidate should have strong SQL knowledge, data warehousing concepts, and hands-on experience in data integration, transformation, and loading. About The Role In this role as Software Engineer, you will: - Analyze business and functional requirements to design and implement scalable data integration solutions - Understand and interpret High-Level Design (HLD) documents and convert them into detailed Low-Level Design (LLD) - Develop robust, reusable, and optimized Informatica mappings, sessions, and workflows - Apply mapping optimization and performance tuning techniques to ensure efficient ETL processes - Conduct peer code reviews and suggest improvements for reliability and performance - Prepare and execute comprehensive unit test cases and support system/integration testing - Maintain detailed technical documentation, including LLDs, data flow diagrams, and test cases - Build data pipelines and transformation logic in Snowflake, ensuring performance and scalability - Develop and manage Unix shell scripts for automation, scheduling, and monitoring of ETL jobs - Collaborate with cross-functional teams to support UAT, deployments, and production issues About You You are a fit for this position if your background includes - 2–4 years of strong hands-on experience with Informatica PowerCenter - Proficient in developing and optimizing ETL mappings, workflows, and sessions - Solid experience with performance tuning techniques and best practices in ETL processes - Hands-on experience with Snowflake for data loading, SQL transformations, and optimization - Strong skills in Unix/Linux scripting for job automation - Experience in converting HLDs into LLDs and defining unit test cases - Knowledge of data warehousing concepts, data modelling, and data quality frameworks Good to Have - Knowledge of Salesforce data model and integration (via Informatica or API-based solutions) - Exposure to AWS cloud services like S3, Glue, Redshift, Lambda, etc. - Familiarity with relational databases such as SQL Server and PostgreSQL - Experience with job schedulers like Control-M, ESP, or equivalent - Agile methodology experience and tools such as JIRA, Confluence, and Git - Knowledge of DBT (Data Build Tool) for data transformation and orchestration - Experience with Python scripting for data manipulation, automation, or integration tasks. #LI-SM1 What’s in it For You Hybrid Work Model We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. 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Role OverviewEssentiallySports is seeking a Growth Product Manager who can scale our web platform's reach, engagement, and impact This is not a traditional marketing role—your job is to engineer growth through product innovation, user journey optimization, and experimentation You’ll be the bridge between editorial, tech, and analytics—turning insights into actions that drive sustainable audience and revenue growth Key ResponsibilitiesOwn the entire web user journey from page discovery to conversion to retention Identify product-led growth opportunities using scroll depth, CTRs, bounce rates, and cohort behavior Optimize high-traffic areas of the site—landing pages, article CTAs, newsletter modules—for conversion and time-on-page Set up and scale A/B testing and experimentation pipelines for UI/UX, headlines, engagement surfaces, and signup flows Collaborate with SEO and Performance Marketing teams to translate high-ranking traffic into engaged, loyal users Partner with content and tech teams to develop recommendation engines, personalization strategies, and feedback loops Monitor analytics pipelines from GA4 Athena dashboards to derive insights and drive decision-making Introduce AI-driven features (LLM prompts, content auto-summaries, etc ) that personalize or simplify the user experience Use tools like Jupyter, Google Analytics, Glue, and others to synthesize data into growth opportunities Who you are4+ years of experience in product growth, web engagement, or analytics-heavy roles Deep understanding of web traffic behavior, engagement funnels, bounce/exit analysis, and retention loops Hands-on experience running product experiments, growth sprints, and interpreting funnel analytics Strong proficiency in SQL, GA4, marketing analytics, and campaign managementUnderstand customer segmentation, LTV analysis, cohort behavior, and user funnel optimizationThrive in ambiguity and love building things from scratchPassionate about AI, automation, and building sustainable growth enginesThinks like a founderdrives initiatives independently, hunts for insights, moves fastA team player who collaborates across engineering, growth, and editorial teams Proactive and solution-oriented, always spotting opportunities for real growth Thrive in a fast-moving environment, taking ownership and driving impact

Role OverviewEssentiallySports is seeking a Growth Product Manager who can scale our web platform's reach, engagement, and impact This is not a traditional marketing role—your job is to engineer growth through product innovation, user journey optimization, and experimentation You’ll be the bridge between editorial, tech, and analytics—turning insights into actions that drive sustainable audience and revenue growth Key ResponsibilitiesOwn the entire web user journey from page discovery to conversion to retention Identify product-led growth opportunities using scroll depth, CTRs, bounce rates, and cohort behavior Optimize high-traffic areas of the site—landing pages, article CTAs, newsletter modules—for conversion and time-on-page Set up and scale A/B testing and experimentation pipelines for UI/UX, headlines, engagement surfaces, and signup flows Collaborate with SEO and Performance Marketing teams to translate high-ranking traffic into engaged, loyal users Partner with content and tech teams to develop recommendation engines, personalization strategies, and feedback loops Monitor analytics pipelines from GA4 Athena dashboards to derive insights and drive decision-making Introduce AI-driven features (LLM prompts, content auto-summaries, etc ) that personalize or simplify the user experience Use tools like Jupyter, Google Analytics, Glue, and others to synthesize data into growth opportunities Who you are4+ years of experience in product growth, web engagement, or analytics-heavy roles Deep understanding of web traffic behavior, engagement funnels, bounce/exit analysis, and retention loops Hands-on experience running product experiments, growth sprints, and interpreting funnel analytics Strong proficiency in SQL, GA4, marketing analytics, and campaign managementUnderstand customer segmentation, LTV analysis, cohort behavior, and user funnel optimizationThrive in ambiguity and love building things from scratchPassionate about AI, automation, and building sustainable growth enginesThinks like a founderdrives initiatives independently, hunts for insights, moves fastA team player who collaborates across engineering, growth, and editorial teams Proactive and solution-oriented, always spotting opportunities for real growth Thrive in a fast-moving environment, taking ownership and driving impact

Role OverviewEssentiallySports is seeking a Growth Product Manager who can scale our web platform's reach, engagement, and impact This is not a traditional marketing role—your job is to engineer growth through product innovation, user journey optimization, and experimentation You’ll be the bridge between editorial, tech, and analytics—turning insights into actions that drive sustainable audience and revenue growth Key ResponsibilitiesOwn the entire web user journey from page discovery to conversion to retention Identify product-led growth opportunities using scroll depth, CTRs, bounce rates, and cohort behavior Optimize high-traffic areas of the site—landing pages, article CTAs, newsletter modules—for conversion and time-on-page Set up and scale A/B testing and experimentation pipelines for UI/UX, headlines, engagement surfaces, and signup flows Collaborate with SEO and Performance Marketing teams to translate high-ranking traffic into engaged, loyal users Partner with content and tech teams to develop recommendation engines, personalization strategies, and feedback loops Monitor analytics pipelines from GA4 Athena dashboards to derive insights and drive decision-making Introduce AI-driven features (LLM prompts, content auto-summaries, etc ) that personalize or simplify the user experience Use tools like Jupyter, Google Analytics, Glue, and others to synthesize data into growth opportunities Who you are4+ years of experience in product growth, web engagement, or analytics-heavy roles Deep understanding of web traffic behavior, engagement funnels, bounce/exit analysis, and retention loops Hands-on experience running product experiments, growth sprints, and interpreting funnel analytics Strong proficiency in SQL, GA4, marketing analytics, and campaign managementUnderstand customer segmentation, LTV analysis, cohort behavior, and user funnel optimizationThrive in ambiguity and love building things from scratchPassionate about AI, automation, and building sustainable growth enginesThinks like a founderdrives initiatives independently, hunts for insights, moves fastA team player who collaborates across engineering, growth, and editorial teams Proactive and solution-oriented, always spotting opportunities for real growth Thrive in a fast-moving environment, taking ownership and driving impact

Role OverviewEssentiallySports is seeking a Growth Product Manager who can scale our web platform's reach, engagement, and impact This is not a traditional marketing role—your job is to engineer growth through product innovation, user journey optimization, and experimentation You’ll be the bridge between editorial, tech, and analytics—turning insights into actions that drive sustainable audience and revenue growth Key ResponsibilitiesOwn the entire web user journey from page discovery to conversion to retention Identify product-led growth opportunities using scroll depth, CTRs, bounce rates, and cohort behavior Optimize high-traffic areas of the site—landing pages, article CTAs, newsletter modules—for conversion and time-on-page Set up and scale A/B testing and experimentation pipelines for UI/UX, headlines, engagement surfaces, and signup flows Collaborate with SEO and Performance Marketing teams to translate high-ranking traffic into engaged, loyal users Partner with content and tech teams to develop recommendation engines, personalization strategies, and feedback loops Monitor analytics pipelines from GA4 Athena dashboards to derive insights and drive decision-making Introduce AI-driven features (LLM prompts, content auto-summaries, etc ) that personalize or simplify the user experience Use tools like Jupyter, Google Analytics, Glue, and others to synthesize data into growth opportunities Who you are4+ years of experience in product growth, web engagement, or analytics-heavy roles Deep understanding of web traffic behavior, engagement funnels, bounce/exit analysis, and retention loops Hands-on experience running product experiments, growth sprints, and interpreting funnel analytics Strong proficiency in SQL, GA4, marketing analytics, and campaign managementUnderstand customer segmentation, LTV analysis, cohort behavior, and user funnel optimizationThrive in ambiguity and love building things from scratchPassionate about AI, automation, and building sustainable growth enginesThinks like a founderdrives initiatives independently, hunts for insights, moves fastA team player who collaborates across engineering, growth, and editorial teams Proactive and solution-oriented, always spotting opportunities for real growth Thrive in a fast-moving environment, taking ownership and driving impact

Role OverviewEssentiallySports is seeking a Growth Product Manager who can scale our web platform's reach, engagement, and impact This is not a traditional marketing role—your job is to engineer growth through product innovation, user journey optimization, and experimentation You’ll be the bridge between editorial, tech, and analytics—turning insights into actions that drive sustainable audience and revenue growth Key ResponsibilitiesOwn the entire web user journey from page discovery to conversion to retention Identify product-led growth opportunities using scroll depth, CTRs, bounce rates, and cohort behavior Optimize high-traffic areas of the site—landing pages, article CTAs, newsletter modules—for conversion and time-on-page Set up and scale A/B testing and experimentation pipelines for UI/UX, headlines, engagement surfaces, and signup flows Collaborate with SEO and Performance Marketing teams to translate high-ranking traffic into engaged, loyal users Partner with content and tech teams to develop recommendation engines, personalization strategies, and feedback loops Monitor analytics pipelines from GA4 Athena dashboards to derive insights and drive decision-making Introduce AI-driven features (LLM prompts, content auto-summaries, etc ) that personalize or simplify the user experience Use tools like Jupyter, Google Analytics, Glue, and others to synthesize data into growth opportunities Who you are4+ years of experience in product growth, web engagement, or analytics-heavy roles Deep understanding of web traffic behavior, engagement funnels, bounce/exit analysis, and retention loops Hands-on experience running product experiments, growth sprints, and interpreting funnel analytics Strong proficiency in SQL, GA4, marketing analytics, and campaign managementUnderstand customer segmentation, LTV analysis, cohort behavior, and user funnel optimizationThrive in ambiguity and love building things from scratchPassionate about AI, automation, and building sustainable growth enginesThinks like a founderdrives initiatives independently, hunts for insights, moves fastA team player who collaborates across engineering, growth, and editorial teams Proactive and solution-oriented, always spotting opportunities for real growth Thrive in a fast-moving environment, taking ownership and driving impact

Role OverviewEssentiallySports is seeking a Growth Product Manager who can scale our web platform's reach, engagement, and impact This is not a traditional marketing role—your job is to engineer growth through product innovation, user journey optimization, and experimentation You’ll be the bridge between editorial, tech, and analytics—turning insights into actions that drive sustainable audience and revenue growth Key ResponsibilitiesOwn the entire web user journey from page discovery to conversion to retention Identify product-led growth opportunities using scroll depth, CTRs, bounce rates, and cohort behavior Optimize high-traffic areas of the site—landing pages, article CTAs, newsletter modules—for conversion and time-on-page Set up and scale A/B testing and experimentation pipelines for UI/UX, headlines, engagement surfaces, and signup flows Collaborate with SEO and Performance Marketing teams to translate high-ranking traffic into engaged, loyal users Partner with content and tech teams to develop recommendation engines, personalization strategies, and feedback loops Monitor analytics pipelines from GA4 Athena dashboards to derive insights and drive decision-making Introduce AI-driven features (LLM prompts, content auto-summaries, etc ) that personalize or simplify the user experience Use tools like Jupyter, Google Analytics, Glue, and others to synthesize data into growth opportunities Who you are4+ years of experience in product growth, web engagement, or analytics-heavy roles Deep understanding of web traffic behavior, engagement funnels, bounce/exit analysis, and retention loops Hands-on experience running product experiments, growth sprints, and interpreting funnel analytics Strong proficiency in SQL, GA4, marketing analytics, and campaign managementUnderstand customer segmentation, LTV analysis, cohort behavior, and user funnel optimizationThrive in ambiguity and love building things from scratchPassionate about AI, automation, and building sustainable growth enginesThinks like a founderdrives initiatives independently, hunts for insights, moves fastA team player who collaborates across engineering, growth, and editorial teams Proactive and solution-oriented, always spotting opportunities for real growth Thrive in a fast-moving environment, taking ownership and driving impact

Role OverviewEssentiallySports is seeking a Growth Product Manager who can scale our web platform's reach, engagement, and impact This is not a traditional marketing role—your job is to engineer growth through product innovation, user journey optimization, and experimentation You’ll be the bridge between editorial, tech, and analytics—turning insights into actions that drive sustainable audience and revenue growth Key ResponsibilitiesOwn the entire web user journey from page discovery to conversion to retention Identify product-led growth opportunities using scroll depth, CTRs, bounce rates, and cohort behavior Optimize high-traffic areas of the site—landing pages, article CTAs, newsletter modules—for conversion and time-on-page Set up and scale A/B testing and experimentation pipelines for UI/UX, headlines, engagement surfaces, and signup flows Collaborate with SEO and Performance Marketing teams to translate high-ranking traffic into engaged, loyal users Partner with content and tech teams to develop recommendation engines, personalization strategies, and feedback loops Monitor analytics pipelines from GA4 Athena dashboards to derive insights and drive decision-making Introduce AI-driven features (LLM prompts, content auto-summaries, etc ) that personalize or simplify the user experience Use tools like Jupyter, Google Analytics, Glue, and others to synthesize data into growth opportunities Who you are4+ years of experience in product growth, web engagement, or analytics-heavy roles Deep understanding of web traffic behavior, engagement funnels, bounce/exit analysis, and retention loops Hands-on experience running product experiments, growth sprints, and interpreting funnel analytics Strong proficiency in SQL, GA4, marketing analytics, and campaign managementUnderstand customer segmentation, LTV analysis, cohort behavior, and user funnel optimizationThrive in ambiguity and love building things from scratchPassionate about AI, automation, and building sustainable growth enginesThinks like a founderdrives initiatives independently, hunts for insights, moves fastA team player who collaborates across engineering, growth, and editorial teams Proactive and solution-oriented, always spotting opportunities for real growth Thrive in a fast-moving environment, taking ownership and driving impact

Data Engineer II Experience: 2 - 6 Years Exp Salary: Competitive Preferred Notice Period : Within 30 Days Shift : 9:30 AM to 6:30 PM IST Opportunity Type: Onsite (Mumbai) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Kafka, Amazon AWS, GCP, Redshift, AWS Redshift Shaadi.com (One of Uplers' Clients) is Looking for: Data Engineer II 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. Role Overview Description We are looking for an experienced Data Engineer having experience in building large-scale data pipelines and data lake ecosystems. Our daily work is around solving interesting and exciting problems against high engineering standards. Even though you will be a part of the backend team, you will be working with cross-functional teams across the org. This role demands good hands-on different programming languages, especially Python, and the knowledge of technologies like Kafka, AWS Glue, Cloudformation, ECS, etc. You will be spending most of your time on facilitating seamless streaming, tracking, and collaborating huge data sets. This is a back-end role, but not limited to it. You will be working closely with producers and consumers of the data and build optimal solutions for the organization. Will appreciate a person with lots of patience and data understanding. Also, we believe in extreme ownership! Design and build systems to efficiently move data across multiple systems and make it available for various teams like Data Science, Data Analytics, and Product. Design, construct, test, and maintain data management systems. Understand data and business metrics required by the product and architect the systems to make that data available in a usable/queryable manner. Ensure that all systems meet the business/company requirements as well as best industry practices. Keep ourselves abreast of new technologies in our domain. Recommend different ways to constantly improve data reliability and quality. Key Qualifications Bachelors/Masters, Preferably in Computer Science or a related technical field. 2-5 years of relevant experience. Deep knowledge and working experience of Kafka ecosystem. Good programming experience, preferably in Python, Java, Go, and a willingness to learn more. Experience in working with large sets of data platforms. Strong knowledge of microservices, data warehouse, and data lake systems in the cloud, especially AWS Redshift, S3, and Glue. Strong hands-on experience in writing complex and efficient ETL jobs. Experience in version management systems (preferably with Git). Strong analytical thinking and communication. Passion for finding and sharing best practices and driving discipline for superior data quality and integrity. Intellectual curiosity to find new and unusual ways of how to solve data management issues. 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 & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Shaadi.com, the world's No.1 Matchmaking platform, pioneered online personals at the turn of the century and has continued to lead the exciting space for 20 years. 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!

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact We are seeking skilled Data Analysts with a minimum of 1 year of experience to join us as freelancers and contribute to impactful projects Key Responsibilities: Write clean, efficient code for data processing and transformation Debug and resolve technical issues Evaluate and review code to ensure quality and compliance Required Qualifications: 1+ year of Data Analysis experience Strong knowledge of Python, R, or SQL Proficiency in data visualization tools (e g , Tableau, Power BI) Statistical analysis expertise Why Join Us Competitive pay (‚1000/hour) Flexible hours Remote opportunity NOTEPay will vary by project and typically is up to Rs 1000 per hour (if you work an average of 3 hours every day that could be as high as Rs 90K per month) once you clear our screening process Shape the future of AI with Soul AI!