1106 Data Integration Jobs - Page 10

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader. Come to IBM and make a global impact! The ability to be a team player The ability and skill to train other people in procedural and technical topics Strong communication and collaboration skills Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong knowledge and experience in database design, modelling and development using PL SQL. Minimum of 6 years. Proficiency with Oracle databases and tools, such as SQL Developer and Toad In-depth understanding of SQL tuning and optimization techniques Knowledge of database performance monitoring and troubleshooting Familiarity with ETL processes and data integration techniques and Strong analytical and problem-solving skills Preferred technical and professional experience Ability to work in a fast-paced environment and meet deadlines Knowledge of agile software development practices is a plus Bachelor's degree in computer science or a related field is preferred, but not required

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader. Come to IBM and make a global impact! The ability to be a team player The ability and skill to train other people in procedural and technical topics Strong communication and collaboration skills Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong knowledge and experience in database design, modelling and development using PL SQL. Minimum of 6 years. Proficiency with Oracle databases and tools, such as SQL Developer and Toad In-depth understanding of SQL tuning and optimization techniques Knowledge of database performance monitoring and troubleshooting Familiarity with ETL processes and data integration techniques and Strong analytical and problem-solving skills Preferred technical and professional experience Ability to work in a fast-paced environment and meet deadlines Knowledge of agile software development practices is a plus Bachelor's degree in computer science or a related field is preferred, but not required

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 : SAP Data Migration, Risk Asessment URS Preparation 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 typical day will involve collaborating with various teams to ensure that project goals are met, facilitating discussions to address challenges, and guiding the team in implementing effective solutions. You will also engage in strategic planning and decision-making processes, ensuring that the applications developed align with organizational objectives and user needs. Your role will require a balance of technical expertise and leadership skills to drive project success and foster a collaborative environment. 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.- Facilitate training and knowledge-sharing sessions to enhance team capabilities.- Monitor project progress and implement necessary adjustments to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Data Services Development.- Strong understanding of data integration and transformation processes.- Experience with ETL (Extract, Transform, Load) processes and tools.- Ability to troubleshoot and resolve technical issues efficiently.- Familiarity with database management systems and data modeling. Additional Information:- The candidate should have minimum 12 years of experience in SAP Data Services Development.- 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 : SAP Native HANA SQL Modeling & Development Good to have skills : NAMinimum 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 understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while staying updated with the latest technologies and methodologies in application development. 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 SAP Native HANA SQL Modeling & Development.- Strong understanding of application development methodologies.- Experience with database design and optimization techniques.- Familiarity with data integration and ETL processes.- Ability to troubleshoot and resolve application issues efficiently. Additional Information:- The candidate should have minimum 5 years of experience in SAP Native HANA SQL Modeling & Development.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

As a consultant you will serve as a client-facing practitioner who sells, leads and implements expert services utilizing the breadth of IBM's offerings and technologies. A successful Consultant is regarded by clients as a trusted business advisor who collaborates to provide innovative solutions used to solve the most challenging business problems. You will work developing solutions that excel at user experience, style, performance, reliability and scalability to reduce costs and improve profit and shareholder value. Your primary responsibilities include: Build, automate and release solutions based on clients priorities and requirements. Explore and discover risks and resolving issues that affect release scope, schedule and quality and bring to the table potential solutions. Make sure that all integration solutions meet the client specifications and are delivered on time Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum 5+ years of experience in IT industry. Minimum of 4+ years of Experience in Oracle Applications and Oracle Cloud in Technical Domain. 2 End to End Implementations in Oracle Supply Chain Management Cloud as Functional Consultant. Should have worked in Inventory, Order Management, Cost Management, GOP Cloud, Data Integration, FBDI, ADFDI Minimum 4+ years of experience in BIP reporting Preferred technical and professional experience You’ll have access to all the technical and management training courses you need to become the expert you want to be. Should have minimum 3 or more years of relevant experience in Oracle Cloud Technical (Oracle Fusion ) 12c Development and Implementation. Should have good knowledge of integrating with WebServices, XML(Extensible Markup Language) and other API(Application Programming Interface) to transfer the data - from source and target, in addition to database.

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. 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 and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and best practices.- Experience with cloud-based data solutions and architectures.- Familiarity with data governance frameworks and compliance standards.- Ability to troubleshoot and optimize data workflows for efficiency. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Chennai.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. 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 and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and best practices.- Experience with cloud-based data solutions and architectures.- Familiarity with data governance frameworks and compliance standards.- Ability to troubleshoot and optimize data workflows for efficiency. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Chennai.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Your role will require you to analyze requirements, propose solutions, and contribute to the overall strategy of the data platform, making it a dynamic and impactful position within the team. 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 and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and best practices.- Experience with cloud-based data solutions and architectures.- Familiarity with data governance frameworks and compliance standards.- Ability to work with large datasets and perform data analysis. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Your role will require you to analyze requirements, propose solutions, and contribute to the overall strategy of the data platform, making it a dynamic and impactful position within the team. 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 and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and best practices.- Experience with cloud-based data solutions and architectures.- Familiarity with data governance frameworks and compliance standards.- Ability to work with large datasets and perform data analysis. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. 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 and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Experience with data integration and ETL processes.- Strong understanding of data modeling and database design principles.- Familiarity with cloud platforms and services related to data analytics.- Ability to troubleshoot and optimize data workflows for efficiency. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture strategy. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. 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 and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Experience with data integration and ETL processes.- Strong understanding of data modeling and database design principles.- Familiarity with cloud platforms and services related to data analytics.- Ability to troubleshoot and optimize data workflows for efficiency. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

A Data Engineer specializing in enterprise data platforms, experienced in building, managing, and optimizing data pipelines for large-scale environments. Having expertise in big data technologies, distributed computing, data ingestion, and transformation frameworks. Proficient in Apache Spark, PySpark, Kafka, and Iceberg tables, and understand how to design and implement scalable, high-performance data processing solutions.What you’ll doAs a Data Engineer – Data Platform Services, responsibilities include: Data Ingestion & Processing Designing and developing data pipelines to migrate workloads from IIAS to Cloudera Data Lake. Implementing streaming and batch data ingestion frameworks using Kafka, Apache Spark (PySpark). Working with IBM CDC and Universal Data Mover to manage data replication and movement. Big Data & Data Lakehouse Management Implementing Apache Iceberg tables for efficient data storage and retrieval. Managing distributed data processing with Cloudera Data Platform (CDP). Ensuring data lineage, cataloging, and governance for compliance with Bank/regulatory policies. Optimization & Performance Tuning Optimizing Spark and PySpark jobs for performance and scalability. Implementing data partitioning, indexing, and caching to enhance query performance. Monitoring and troubleshooting pipeline failures and performance bottlenecks. Security & Compliance Ensuring secure data access, encryption, and masking using Thales CipherTrust. Implementing role-based access controls (RBAC) and data governance policies. Supporting metadata management and data quality initiatives. Collaboration & Automation Working closely with Data Scientists, Analysts, and DevOps teams to integrate data solutions. Automating data workflows using Airflow and implementing CI/CD pipelines with GitLab and Sonatype Nexus. Supporting Denodo-based data virtualization for seamless data access Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4-7 years of experience in big data engineering, data integration, and distributed computing. Strong skills in Apache Spark, PySpark, Kafka, SQL, and Cloudera Data Platform (CDP). Proficiency in Python or Scala for data processing. Experience with data pipeline orchestration tools (Apache Airflow, Stonebranch UDM). Understanding of data security, encryption, and compliance frameworks Preferred technical and professional experience Experience in banking or financial services data platforms. Exposure to Denodo for data virtualization and DGraph for graph-based insights. Familiarity with cloud data platforms (AWS, Azure, GCP). Certifications in Cloudera Data Engineering, IBM Data Engineering, or AWS Data Analytics

A Data Engineer specializing in enterprise data platforms, experienced in building, managing, and optimizing data pipelines for large-scale environments. Having expertise in big data technologies, distributed computing, data ingestion, and transformation frameworks. Proficient in Apache Spark, PySpark, Kafka, and Iceberg tables, and understand how to design and implement scalable, high-performance data processing solutions.What you’ll doAs a Data Engineer – Data Platform Services, responsibilities include: Data Ingestion & Processing Designing and developing data pipelines to migrate workloads from IIAS to Cloudera Data Lake. Implementing streaming and batch data ingestion frameworks using Kafka, Apache Spark (PySpark). Working with IBM CDC and Universal Data Mover to manage data replication and movement. Big Data & Data Lakehouse Management Implementing Apache Iceberg tables for efficient data storage and retrieval. Managing distributed data processing with Cloudera Data Platform (CDP). Ensuring data lineage, cataloging, and governance for compliance with Bank/regulatory policies. Optimization & Performance Tuning Optimizing Spark and PySpark jobs for performance and scalability. Implementing data partitioning, indexing, and caching to enhance query performance. Monitoring and troubleshooting pipeline failures and performance bottlenecks. Security & Compliance Ensuring secure data access, encryption, and masking using Thales CipherTrust. Implementing role-based access controls (RBAC) and data governance policies. Supporting metadata management and data quality initiatives. Collaboration & Automation Working closely with Data Scientists, Analysts, and DevOps teams to integrate data solutions. Automating data workflows using Airflow and implementing CI/CD pipelines with GitLab and Sonatype Nexus. Supporting Denodo-based data virtualization for seamless data access Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4-7 years of experience in big data engineering, data integration, and distributed computing. Strong skills in Apache Spark, PySpark, Kafka, SQL, and Cloudera Data Platform (CDP). Proficiency in Python or Scala for data processing. Experience with data pipeline orchestration tools (Apache Airflow, Stonebranch UDM). Understanding of data security, encryption, and compliance frameworks Preferred technical and professional experience Experience in banking or financial services data platforms. Exposure to Denodo for data virtualization and DGraph for graph-based insights. Familiarity with cloud data platforms (AWS, Azure, GCP). Certifications in Cloudera Data Engineering, IBM Data Engineering, or AWS Data Analytics

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Ab Initio Good to have skills : NAMinimum 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 team members to understand project needs, developing application features, and ensuring that the solutions align with business objectives. You will also engage in problem-solving discussions and contribute to the overall success of the projects by leveraging your expertise in application development. 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 Ab Initio.- Good To Have Skills: Experience with ETL processes and data integration.- Strong understanding of application development methodologies.- Experience with database management and SQL.- Familiarity with software testing and debugging techniques. Additional Information:- The candidate should have minimum 5 years of experience in Ab Initio.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise seach applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total Exp-6-7 Yrs (Relevant-4-5 Yrs) Mandatory Skills: Azure Databricks, Python/PySpark, SQL, Github, - Azure Devops - Azure Blob Ability to use programming languages like Java, Python, Scala, etc., to build pipelines to extract and transform data from a repository to a data consumer Ability to use Extract, Transform, and Load (ETL) tools and/or data integration, or federation tools to prepare and transform data as needed. Ability to use leading edge tools such as Linux, SQL, Python, Spark, Hadoop and Java Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences.

As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise seach applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total Exp-6-7 Yrs (Relevant-4-5 Yrs) Mandatory Skills: Azure Databricks, Python/PySpark, SQL, Github, - Azure Devops - Azure Blob Ability to use programming languages like Java, Python, Scala, etc., to build pipelines to extract and transform data from a repository to a data consumer Ability to use Extract, Transform, and Load (ETL) tools and/or data integration, or federation tools to prepare and transform data as needed. Ability to use leading edge tools such as Linux, SQL, Python, Spark, Hadoop and Java Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences.

Report and analyze finance and operational data from multiple sources to drive decision-making. Utilize Power BI for data visualization (DAX, M language). Normalize and manage various data sets for accuracy and future impact assessment. Collaborate with teams to enhance dashboard automation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 3-5 years of experience in Reporting and data analytics. Advanced Power BI skills. Advanced SQL knowledge Python knowledge for automation is a plus. Strong analytical skills with a focus on data quality. Preferred technical and professional experience Good Communication skills Understand the data model and how the database works (primary + foreign key, relations) Able to read and edit HTML/CSS code Basics of SQL Salesforce Marketing Cloud knowledge

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 : Databricks Unified Data Analytics Platform 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 Databricks Unified Data Analytics Platform.- Experience with data integration and ETL tools.- Strong understanding of data modeling and database design principles.- Familiarity with cloud platforms and services related to data storage and processing.- Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- 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 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 : Databricks Unified Data Analytics Platform 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 Databricks Unified Data Analytics Platform.- Experience with data integration and ETL tools.- Strong understanding of data modeling and database design principles.- Familiarity with cloud platforms and services related to data storage and processing.- Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Job Title: Informatica Architect Job Type: Full-time Location: Hybrid- Bengaluru | Pune Apply Link : https://jobs.micro1.ai/post/64455c5d-115c-4def-a983-658dc0075e28/ About Us: Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest-growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market. Job Summary Join our customer's team as an Informatica Architect and play a critical role in shaping data governance, data catalog, and data quality initiatives for enterprise-level products. As a key leader, you will collaborate closely with Data & Analytics leads, ensuring the integrity, accessibility, and quality of business-critical data assets across multiple domains. Key Responsibilities Lead data governance, data catalog, and data quality efforts utilizing Informatica and other industry-leading tools. Design, develop, and manage data catalogs and enterprise data assets to support analytics and reporting across the organization. Configure and optimize Informatica CDQ and Data Quality modules, ensuring adherence to enterprise data standards and policies. Implement and maintain business glossaries, data domains, data lineage, and data stewardship resources for enterprise-wide use. Collaborate with cross-functional teams to define critical data elements, data governance rules, and quality policies for multiple data sources. Develop dashboards and visualizations to support data quality monitoring, compliance, and stewardship activities. Continuously review, assess, and enhance data definitions, catalog resources, and governance practices to stay ahead of evolving business needs. Required Skills and Qualifications Minimum 7-8 years of enterprise data integration, management, and governance experience with proven expertise in EDW technologies. At least 5 years of hands-on experience with Informatica CDQ and Data Quality solutions, having executed 2+ large-scale Data Governance and Quality projects from inception to production. Demonstrated proficiency configuring business glossaries, policies, dashboards, and search functions within Informatica or similar platforms. In-depth expertise in data quality, data cataloguing, and data governance frameworks and best practices. Strong background in Master Data Management (MDM), ensuring oversight and control of complex product catalogs. Exceptional written and verbal communication skills, able to effectively engage technical and business stakeholders. Experience collaborating with diverse teams to deliver robust data governance and analytics solutions. Preferred Qualifications Administration and management experience with industry data catalog tools such as Collibra, Alation, or Atian. Strong working knowledge of configuring user groups, permissions, data profiling, and lineage within catalog platforms. Hands-on experience implementing open-source data catalog tools in enterprise environments.

Role Overview We are seeking a dedicated CRM Administrator to manage and optimize our CRM system, ensuring it effectively supports our sales, marketing, and customer service teams. This role involves overseeing data integrity, user management, system integrations, and driving continuous improvements to enhance CRM performance and user experience. As part of our team, you will collaborate closely with key stakeholders to align the CRM system with business goals and ensure it delivers value to our organization. Key Responsibilities The CRM Administrator at NxtWave plays a critical role in maintaining and enhancing our CRM system, ensuring it meets the evolving needs of the business. Here is an expanded view of the key responsibilities this role entails: CRM System Configuration System Customization: Customize and configure the CRM system to align with the organization's sales, marketing, and customer service processes. Workflow Optimization: Set up and manage custom fields, workflows, and automations to optimize user experience and streamline business operations. Data Management Data Accuracy: Oversee the accuracy, integrity, and security of customer data within the CRM. Data Maintenance: Regularly update and maintain customer records, ensuring data cleanliness and consistency. Data Quality Assurance: Conduct data deduplication efforts to eliminate duplicate entries and maintain data quality. User Management User Administration: Administer user accounts within the CRM platform, assigning appropriate roles and access levels based on job functions. User Support: Provide ongoing support and guidance to users, helping them effectively utilize the CRM system. Training and Support Issue Resolution: Address user inquiries and troubleshoot issues related to CRM usage. User Training: Conduct training sessions to improve user adoption and proficiency in CRM tools, ensuring users can fully leverage the CRM's capabilities. Integration and Maintenance System Integration: Collaborate with relevant teams to integrate the CRM system with other business tools and applications, ensuring seamless data flow. System Maintenance: Regularly monitor system performance and conduct necessary maintenance tasks to ensure optimal functionality. Continuous Improvement Industry Trends: Stay informed about CRM best practices, industry trends, and system updates. System Optimization: Proactively identify opportunities for system optimization and improvements in CRM utilization. Compliance and Security Data Security: Ensure data security and compliance with industry regulations and organizational policies. Security Protocols: Implement data protection measures and monitor adherence to security protocols. Qualities We Value Detail-Oriented: Demonstrate meticulous attention to detail, ensuring data accuracy and system reliability. Problem Solver: Exhibit strong problem-solving skills, with the ability to troubleshoot issues and implement effective solutions. Collaborative: Work effectively with cross-functional teams, fostering a collaborative and supportive work environment. Adaptable: Thrive in a dynamic environment, adapting to changing priorities and embracing new challenges. Proactive: Take initiative and demonstrate a proactive approach to identifying and addressing system improvements. Effective Communicator: Communicate clearly and effectively, presenting information to both technical and non-technical stakeholders. Continuous Learner: Stay up to date with the latest CRM trends and technologies, continuously improving your skills. Qualifications Educational Background: Bachelor s degree Experience: Preferably proven experience as a CRM Administrator or in a similar role. Interpersonal Skills: Strong communication and interpersonal skills. Skills (Not mandatory, but will be an added advantage) Foundational Skills CRM Configuration: Proficiency in configuring CRM systems, including customization of fields, workflows, and automation. Data Management: Strong understanding of data management principles, including data deduplication and data quality assurance. User Management: Experience in administering user accounts and managing access levels within a CRM platform. Technical Skills Data Integration: Familiarity with integrating CRM systems with other business tools and applications. CRM Tools: Experience with CRM software platforms (e.g., Salesforce, Zoho, Microsoft Dynamics). Technical Support: Ability to troubleshoot technical issues and provide user support. Additional Information Compensation: Competitive salary based on experience and qualifications. Work Arrangement: Office Work Schedule: 6 Days a week.

About KPI Partners . KPI Partners is a leading provider of technology consulting and solutions, specializing in delivering high-quality services that enable organizations to optimize their operations and achieve their strategic objectives. We are committed to empowering businesses through innovative solutions and a strong focus on customer satisfaction. Job Description. We are seeking an experienced and detail-oriented ODI Developer to join our dynamic team. The ideal candidate will have a strong background in Oracle Data Integration and ETL processes, possess excellent problem-solving skills, and demonstrate the ability to work collaboratively within a team environment. As an ODI Developer at KPI Partners, you will play a crucial role in designing, implementing, and maintaining data integration solutions that support our clients' analytics and reporting needs. Key Responsibilities. - Design, develop, and implement data integration processes using Oracle Data Integrator (ODI) to extract, transform, and load (ETL) data from various sources. - Collaborate with business analysts and stakeholders to understand data requirements and translate them into technical specifications. - Optimize ODI processes and workflows for performance improvements and ensure data quality and accuracy. - Troubleshoot and resolve technical issues related to ODI and data integration processes. - Maintain documentation related to data integration processes, including design specifications, integration mappings, and workflows. - Participate in code reviews and ensure adherence to best practices in ETL development. - Stay updated with the latest developments in ODI and related technologies to continuously improve solutions. - Support production deployments and provide maintenance and enhancements as needed. Qualifications. - Bachelor's degree in Computer Science, Information Technology, or a related field. - Proven experience as an ODI Developer or in a similar ETL development role. - Strong knowledge of Oracle Data Integrator and its components (repositories, models, mappings, etc.). - Proficient in SQL and PL/SQL for querying and manipulating data. - Experience with data warehousing concepts and best practices. - Familiarity with other ETL tools is a plus. - Excellent analytical and troubleshooting skills. - Strong communication skills, both verbal and written. - Ability to work independently and in a team-oriented environment. Why Join KPI Partners? - Opportunity to work with a talented and diverse team on cutting-edge projects. - Competitive salary and comprehensive benefits package. - Continuous learning and professional development opportunities. - A culture that values innovative thinking and encourages collaboration. KPI Partners is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.**

Lead and deliver complex supply chain IT solutions in CPG. Drive decision models, data integration, dashboards, and scalable architecture. 8+ yrs exp with ERP, OMP, O9, WMS, . Strong in Agile, stakeholder management, and supply chain analytics.

Expert in the Operating Model & AJG data governance, SOP’s for Collibra, Collibra Data Catalog KPI, manual stitching of assets in Collibra, Technical skills. Workflow Design & Stakeholder Management, Hands on exp in Data Governance & Collibra. Required Candidate profile Implementation, configuration, and maintenance of the Collibra Data Governance Platform Stewards, data owners, stakeholders, data governance, data quality, and data integration principles.

Overview The Climate Data and Content Services team is responsible for the research and assessment of carbon footprint and business initiatives related to climate change for approximately 14,000 companies globally. The team’s research is focused on climate-related metrics including carbon emissions, energy performance, climate change targets and commitments and other relevant sector specific data, using a variety of sources, such as annual reports, sustainability reports, quantitative data feeds from third-party providers, news publications, and other company disclosures. Responsibilities Procuring and processing information about globally listed companies such as Using multiple sources: lengthy annual reports, CSR reports, websites, quantitative data feeds, web crawlers Types of information: quantitative data, key performance indicators Topics or subject matters: traditional financial risk, corporate governance and sustainability Types of analysis: rules-based, subjective analysis, written summaries Your primary responsibility is to contribute to the sector expertise of the team and to support all our climate data integration efforts. You will support the quality of our Climate data set within your sector and engage with internal and external stakeholders for better understanding of methodology and data. Your tasks will include reviewing and validating climate data provided by vendors and issuers. You are expected to address queries from internal and external users pertaining to Climate data, reconciling data challenges, training users on methodologies and processes, and maintaining process documentation. Work with a global team of researchers, data and IT specialists, and vendors to enhance and improve our research and assessment of companies’ carbon footprint, climate change targets and commitments, and climate change mitigation practices. Capture and transform climate data metrics into meaningful information/ratings/scores Drive coverage and content expansion projects defined by the business. Update and refine industry assessment guides for data collectors and internal analysts Design and implement process improvements and QA checks to ensure consistent data quality and efficiency Contribute to working committees, projects, or perform other tasks as deemed necessary by the business. Qualifications Bachelor's/ Master’s degree in finance, statistics, sustainability, environmental science, oil and gas engineering, Power management Knowledge of climate change issues and regulations, including carbon offsets, climate reporting standards (e.g. TCFD, ISSB) and frameworks (e.g. IPCC, UNFCCC, etc.). Minimum of 3-4 years working experience in Energy (Oil & Gas) or Power or Industrials or Transport sectors and/or a background on GHG assessments, GRI reporting, or environmental impact assessments. Experience in data visualization tools is desirable (Power BI/ Tableau/ Python/SQL) Ability to articulate and communicate complex concepts with ease. Fast learner and strong logical thinker. Ability to work under minimal supervision. Anticipate problems and opportunities, and adapt to new challenges. Ability to work with multiple stakeholders in a collaborative global team environment. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com