315 Data Profiling Jobs - Page 6

Job Title: Informatica Architect Job Type: Full-time, Contractor Location: HybridBengaluru | Pune 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

Join us as a Data Governance Analyst (Data Lake) at Barclays, where you will be responsible for supporting the successful delivery of location strategy projects to plan, budget, agreed quality and governance standards You'll spearhead the evolution of our digital landscape, driving innovation and excellence You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences To be successful as a Data Governance Analyst (Data Lake) you should have experience with: Data and Record governance, data controls, data lineage and associated methodologies Experience in data products, cloud and data warehouses Business Domain (Retail or Banking) and Regulatory reporting experience Working in a regulated environment and solid understanding of data and control risk management Hands of experience and knowledge around feature ETL, Data Warehousing, Big Data, Dimensional Modelling, Cloud data products Hands-on experience on Data Lineage, Data Profiling, Data Quality Rule Implementation, Business Rules Validation, Identification of Data Errors and Produce/Publish DQ reports Working knowledge in Change Management, Process Excellence, Project Management and functional experience in Data Analysis Some Other Highly Valued Skills May Include Understanding of different technologies around the execution of data control Ability to proactively drive change Exceptional stakeholder management skills to be able to maintain collaborative working relationships with key senior stakeholders Experience of working in multiple large teams delivering complex services involving the highest standards of resilience, risk and governance controls Proficiency in data analytics and insight generation to derive actionable insights from data You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills This role is based out of Pune Purpose of the role To develop, implement, and maintain effective governance frameworks for all data and records across the bank's global operations Accountabilities Development and maintenance of a comprehensive data and records governance framework aligned with regulatory requirements and industry standards Monitoring data quality and records metrics and compliance with standards across the organization Identification and addressing of data and records management risks and gaps Development and implementation of a records management programme that ensures the proper identification, classification, storage, retention, retrieval and disposal of records Development and implementation of a data governance strategy that aligns with the bank's overall data management strategy and business objectives Provision of Group wide guidance and training on Data and Records Management standard requirements Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness Collaborate closely with other functions/ business divisions Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard The four LEAD behaviours are: L Listen and be authentic, E Energise and inspire, A Align across the enterprise, D Develop others OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda Take ownership for managing risk and strengthening controls in relation to the work done Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc) to solve problems creatively and effectively Communicate complex information 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience Influence or convince stakeholders to achieve outcomes All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship our moral compass, helping us do what we believe is right They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge and Drive the operating manual for how we behave

This role involves the development and application of engineering practice and knowledge in defining, configuring and deploying industrial digital technologies including but not limited to PLM MES for managing continuity of information across the engineering enterprise, including design, industrialization, manufacturing supply chain, and for managing the manufacturing data. Job Description - Grade Specific Focus on Digital Continuity Manufacturing. Fully competent in own area. Acts as a key contributor in a more complex critical environment. Proactively acts to understand and anticipates client needs. Manages costs and profitability for a work area. Manages own agenda to meet agreed targets. Develop plans for projects in own area. Looks beyond the immediate problem to the wider implications. Acts as a facilitator, coach and moves teams forward.

Role & responsibilities: Analyse, manage, and maintain entity reference data to ensure accuracy, consistency, and completeness across systems Collaborate with product and technology teams to design, develop, and implement new features and controls for our reference data products Identify opportunities for product improvement and process optimization, providing actionable recommendations based on thorough data analysis Conduct root cause analysis of data issues, propose solutions, and oversee their implementation. Define and translate business requirements into functional specifications for developers and QA teams Evaluate and integrate new data sources, ensuring alignment with business needs and data governance standards Utilize SQL for data extraction, transformation, and analysis; automate data quality checks and reporting. Leverage exploratory data tools (such as Alteryx, KNIME, or similar) to build workflows, analyse large datasets, and generate insights Monitor data quality metrics, develop dashboards, and prepare management reports Engage with stakeholders to gather requirements, document processes, and communicate findings effectively Support ongoing data governance, compliance, and audit requirements within the reference data domain. Preferred candidate profile 8-10 years of relevant experience in entity reference data management, preferably within financial services, fintech, or data-centric organizations Proven expertise in data analysis, data quality management, and process improvement. Advanced proficiency in SQL for querying, analysing, and managing large datasets Hands-on experience with at least one leading data exploration or ETL tool (e.g., Alteryx, KNIME, etc.) Strong understanding of data governance, data standards, and regulatory compliance in the context of reference data Excellent problem-solving skills, with the ability to work independently on complex data challenges. Strong communication skills, both verbal and written, with the ability to interact effectively with technical and business stakeholders Bachelors or Master’s degree in Computer Science, Engineering, Finance, Business, or a related field.

Design, develop, and optimize data models within the Celonis Execution Management System (EMS). Extract, transform, and load (ETL) data from flat files and UDP into Celonis. Work closely with business stakeholders and data analysts to understand data requirements and ensure accurate representation of business processes. Develop and optimize PQL (Process Query Language) queries for process mining. Collaborate with group data engineers, architects, and analysts to ensure high-quality data pipelines and scalable solutions. Perform data validation, cleansing, and transformation to enhance data quality. Monitor and troubleshoot data integration pipelines, ensuring performance and reliability. Provide guidance and best practices for data modeling in Celonis. Qualifications & Skills: 5+ years of experience in data engineering, data modeling, or related roles Proficiency in SQL, ETL processes, and database management (eg,PostgreSQL, Snowflake, BigQuery, or similar). Experience working with large-scale datasets and optimizing data models for performance. Data management experience that spans across the data lifecycle and critical functions (eg, data profiling, data modeling, data engineering, data consumption product and services). Strong problem-solving skills and ability to work in an agile, fast-paced environment. Excellent communications and demonstrated hands-on experience communicating technical topics with non-technical audiences. Ability to effectively collaborate and manage the timely completion of assigned activities while working in a highly virtual team environment. Excellent collaboration skills to work with cross-functional teams

Education and Qualifications Bachelor or Master or Doctorate degree in maths, statistics, computer science, information management Work Experience 5-8 years experience working in Data Engineering and Data Warehousing. Technical / Professional Skills Please provide at least 3 Hands On with advanced SQL, Python etc. Hands On in data profiling Hands On in working on Cloud like Azure and Cloud DW like Databricks Hands On experience on Scheduling tools like Airflow, Control M etc. Knowledgeable on Big Data tools like Spark (python/scala), Hive, Impala, Hue and storage (e.g. HDFS, HBase) Knowledgeable in CICD processes BitBucket/GitHub, Jenkins, Nexus etc. Knowledgeable managing structured and unstructured data types. Knowledgeable in building Microservices, Rest APIs, Data as a Service architectures. Knowledgeable in streaming frameworks (Kafka/Spark Streaming) is preferred Non-Technical / Soft Skills Experience in working with a team of data engineers working from different locations in different time zones. Excellent communication. Effective prioritisation Pragmatic stakeholder management. Other Task-Specific Knowledge Proficient in Excel, Word, and PowerPoint. Ability to prioritise and manage to multiple concurrent activities

About Fresh Gravity: Founded in 2015, Fresh Gravity helps businesses make data-driven decisions. We are driven by data and its potential as an asset to drive business growth and efficiency. Our consultants are passionate innovators who solve clients business problems by applying best-in-class data and analytics solutions. We provide a range of consulting and systems integration services and solutions to our clients in the areas of Data Management, Analytics and Machine Learning, and Artificial Intelligence. In the last 10 years, we have put together an exceptional team and have delivered 200+ projects for over 80 clients ranging from startups to several fortune 500 companies. We are on a mission to solve some of the most complex business problems for our clients using some of the most exciting new technologies, providing the best of learning opportunities for our team. We are focused and intentional about building a strong corporate culture in which individuals feel valued, supported, and cared for. We foster an environment where creativity thrives, paving the way for groundbreaking solutions and personal growth. Our open, collaborative, and empowering work culture is the main reason for our growth and success. To know more about our culture and employee benefits, visit out website https: / / www.freshgravity.com / employee-benefits / . We promise rich opportunities for you to succeed, to shine, to exceed even your own expectations. We are data driven. We are passionate. We are innovators. We are Fresh Gravity. What You ll Do: The person in this role is responsible for working 24x7 on support role to resolve production issues, asses change request requirements, design, and implementing CR. Individual should ha

A Day in the Life Our Global Diabetes Capability Center in Pune is expanding to serve more people living with diabetes globally. Our state-of-the-art facility is dedicated to transforming diabetes management through innovative solutions and technologies that reduce the burden of living with diabetes. Medtronic is hiring a Senior Data Governance Engineer. As a Senior engineer, you will be a key member of our Data Governance team, defining scope, assessing current data governance capabilities, building roadmaps to mature data governance capabilities. This role offers a dynamic opportunity to join Medtronic's Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. While you will start your employment with Medtronic, upon establishment of SpinCo or the transition of the Diabetes business to another company, your employment may transfer to either SpinCo or the other company, at Medtronic's discretion and subject to any applicable information and consultation requirements in your jurisdiction. Responsibilities may include the following and other duties may be assigned. Data Governance Strategy Development - responsible for the strategic development, architectural definition, and enterprise-wide data governance and data management initiatives supporting the delivery of data as a service Provide Data Governance and Data Management advisory expertise Responsible for the identification and evaluation of metadata platform alternatives, the development of the logical metadata framework architecture, and the definition and implementation of metadata maintenance processes Defining Data Governance operating models, roles, and responsibilities in collaboration with Medtronic requirements Responsible for the assessment and selection of Data Management tools landscape including: data profiling, data quality, metadata, MDM, rules engines, and pattern matching Refine and develop the data-centric approach and methodologies which may include areas such as: data strategy, data governance, data lineage, analytics, business intelligence, data architecture, data quality, master data management and data integration and delivery Assess current state capabilities, identify gaps versus leading practices, and recommend future state data requirements Identify opportunities for new workflows, third party glossary/metadata tools, database architectures, and third-party pre-existing data models. Work closely with business and technology stakeholders to assist in understanding and documenting data requirements, lineage, and partnering with IT data integration and data warehouse teams to ensure requirements are effectively executed Help define data modeling naming standards, abbreviations, guidelines, and best practices Enhance or design data model review processes based on business requirements Minimum Qualification: At least 5 years of experience developing / structuring an enterprise wide data governance organization and business process (operating models, roles, partner organizations, responsibilities) Hands-on experience with both the business side and IT side implementing or supporting an MDM and/or Data Warehouse and Reporting IT solutions Utilize strong business knowledge of the investment management industry and common data management operations Broad understanding of the role of data management within global markets organizations, information flow, and data governance issues Domain expertise in specific areas of Data Management such as: data strategy, data governance, data lineage, analytics, business intelligence, data architecture, data quality, master data management and data integration and delivery Note : Immedite or Notice period serving candidates preferred. If interested please share your updated CV on ashwini.ukekar@medtronic.com

Project Role : Data Governance Practitioner Project Role Description : Establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Collaborate with key stakeholders to define data standards, facilitate effective data collection, storage, access, and usage; and drive data stewardship initiatives for comprehensive and effective data governance. 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 Governance Practitioner, you will establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Your typical day will involve collaborating with key stakeholders to define data standards, facilitating effective data collection, storage, access, and usage, and driving data stewardship initiatives for comprehensive and effective data governance. You will engage with various teams to ensure that data governance practices are adhered to and continuously improved, fostering a culture of data responsibility across 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.- Facilitate training sessions to enhance team understanding of data governance policies.- Monitor compliance with data governance standards and report on adherence. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data governance frameworks and best practices.- Experience with data quality assessment and improvement techniques.- Familiarity with data privacy regulations and compliance requirements.- Ability to communicate complex data concepts to non-technical stakeholders. 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 : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : SAP BusinessObjects Data Services Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will develop and configure software systems, either end-to-end or for specific stages of the product lifecycle. Your typical day will involve collaborating with various teams to ensure the successful implementation of software solutions, applying your knowledge of technologies and methodologies to support projects and clients effectively. You will engage in problem-solving activities, guiding your team through challenges while ensuring that project goals are met efficiently and effectively. 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 alignment with strategic objectives. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP BusinessObjects Data Services.- Strong understanding of data integration and ETL processes.- Experience with data quality management and data profiling.- Familiarity with database management systems and SQL.- Ability to troubleshoot and optimize data workflows. Additional Information:- The candidate should have minimum 7.5 years of experience in SAP BusinessObjects Data Services.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

Responsibilities: Data Quality Implementation & Monitoring (Acceldata & Demand Tools): Design, develop, and implement data quality rules and checks using Acceldata to monitor data accuracy, completeness, consistency, and timeliness. Configure and utilize Acceldata to profile data, identify anomalies, and establish data quality thresholds. Investigate and resolve data quality issues identified by Acceldata, working with relevant teams for remediation. Leverage DemandTools within our Salesforce environment to identify, merge, and prevent duplicate records across Leads, Contacts, and Accounts. Implement data standardization and cleansing processes within Salesforce using DemandTools. Develop and maintain data quality dashboards and reports using Acceldata to provide visibility into data health. Data Onboarding & Integration Quality: Collaborate with engineers and platform teams to understand data sources and pipelines built using Fivetran / ingestion tool. Ensure data transformations within Fivetran to maintain data integrity and quality. Develop and execute test plans and test cases to validate the successful and accurate onboarding of data into our snowflake environment. Metadata Management & Data Governance: Work with the Atlan platform to understand and contribute to the establishment of a comprehensive data catalog. Assist in defining and implementing data governance policies and standards within Atlan. Validate the accuracy and completeness of metadata within Atlan to ensure data discoverability and understanding. Collaborate on data lineage tracking and impact analysis using Atlan. Collaboration & Communication: Work closely with data engineers, platform team, data analysts, business stakeholders, and Salesforce administrators. Clearly communicate data quality findings, risks, and remediation steps. Participate in data governance meetings and contribute to the development of data quality best practices. Document data quality rules, processes, and monitoring procedures. Required Skills & Experience: Proven experience (e.g., 3+ years) as a Data Quality Engineer or similar role. Hands-on experience with Fivetran / data ingestion application for data integration and understanding its data transformation capabilities. Familiarity with Atlan or other modern data catalog and metadata management tools. Strong practical experience with Acceldata or similar data quality monitoring and observability platforms. Familiarity in using DemandTools for data quality management within Salesforce. Solid understanding of data quality principles, methodologies, and best practices. Strong SQL skills for data querying and analysis. Experience with data profiling and data analysis techniques. Excellent analytical, problem-solving, and troubleshooting skills. Strong communication and collaboration skills. Ability to work independently and manage tasks effectively in a remote environment. Preferred Skills & Experience: Experience with other data quality tools or frameworks. Knowledge of data warehousing concepts and technologies (e.g., Snowflake, BigQuery). Experience with scripting languages like Python for data manipulation and automation. Familiarity with Salesforce data model and administration.

Responsibilities / Qualifications: Candidate must have 5-6 years of IT working experience with at least 3 years of experience on AWS Cloud environment is preferred Ability to understand the existing system architecture and work towards the target architecture. Experience with data profiling activities, discover data quality challenges and document it. Experience with development and implementation of large-scale Data Lake and data analytics platform with AWS Cloud platform. Develop and unit test Data pipeline architecture for data ingestion processes using AWS native services. Experience with development on AWS Cloud using AWS data stores such as Redshift, RDS, S3, Glue Data Catalog, Lake formation, Apache Airflow, Lambda, etc Experience with development of data governance framework including the management of data, operating model, data policies and standards. Experience with orchestration of workflows in an enterprise environment. Working experience with Agile Methodology Experience working with source code management tools such as AWS Code Commit or GitHub Experience working with Jenkins or any CI/CD Pipelines using AWS Services Experience working with an on-shore / off-shore model and collaboratively work on deliverables. Good communication skills to interact with onshore team.

Educational Bachelor of Engineering,BTech,BCA,MBA,MTech,MCA Service Line Application Development and Maintenance Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional : Healthcare Data analyst ,PL/SQL, SQL, Data mapping, STTM creation, Data profiling, Reports Preferred Skills: Domain-Healthcare-Healthcare - ALL

: Job TitleESG DataSustainability Business Analyst Corporate TitleAssociate LocationBangalore, India Role Description The Sustainability Data and Technology Program is a bank wide program to deliver a strategic solution for Environmental, Social and Governance data across Deutsche Bank. The Program is part of the Sustainability Strategy Key Deliverable. As a Business Analyst, you will be part of the Data Team. You will be responsible for reviewing business use cases from stakeholders, gathering & documenting requirements, defining high level implementation steps and creating business user stories. You will closely work with the Product Owner and development teams and bring business and functional analysis skills into the development team to ensure that the implementation of requirements aligns with our business needs and technical quality standards. What well offer you , 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Working with the business and technology stakeholders to define, agree and socialise requirements for ESG Data Sourcing and Transformation, needed for the Consumer base within the bank. Work with architects and engineers to ensure that both functional and non-functional requirements can be realised in the design and delivery in a way which respects the architecture strategy. Analyse complex datasets to derive insights to support requirement definition by completing the data profiling of vendor data. Define & document business requirements for review by senior stakeholders, in JIRA and other documentation tools such as Confluence, Draw.IO. Defining acceptance criteria with stakeholders and supporting user acceptance testing to ensure quality product delivery, supporting the Defect Management. Responsible for reviewing User Stories along with test cases based on appropriate interpretation of Business Liaising with business teams and development teams in Agile ceremonies such as Product Backlog Refinements to review the User Stories and to prioritise the Product Backlog, to support the requirements in its path to release in production environment. To act as a point of contact for the Development Teams for any business requirement clarifications Provide support to the Functional Analysts within the Development Teams to produce Analysis artifacts Designing & specifying data mapping to transform source system data into a format which can be consumed by other business areas within the bank Supporting the design and conceptualization of new business solution options and articulating identified impacts and risks Monitor, track issues, risks and dependencies on analysis and requirements work Your skills and experience Mandatory Skills 4+ years business analyst experience in the Banking Industry across the full project life cycle, with broad domain knowledge and understanding of core business processes, systems and data flows Experience of specifying ETL processes within Data projects Experience of a large system implementation project across multiple Business Units and across multiple geographies. It is essential that they are aware of the sort of issues that may arise with a central implementation across different locations Strong knowledge of business analysis methods (e.g. best practices in Management and UAT) Demonstrates the maturity and persuasiveness required to engage in business dialogue and support stakeholders Excellent analysis skills and good problem solving skills Ability to communicate and interpret stakeholders needs and requirements An understanding of systems delivery lifecycles and Agile delivery methodologies A good appreciation of systems and data architectures Strong discipline in data reconciliation, data integrity, controls and documentation Understanding of controls around software development to manage business requirements Ability to work in virtual teams and matrixed organizations Good team player, facilitator-negotiator and networker. Able to lead senior managers towards common goals and build consensus across a diverse group Ability to share information, transfer knowledge and expertise to team members Ability to commit to and prioritise work duties and tasks Ability to work in a fast paced environment with competing and ever changing priorities, whilst maintaining a constant focus on delivery Willingness to chip in and cover multiple roles when required such as cover for Project Managers, assisting architecture, performing testing and write ups of meeting minutes Expertise in Microsoft Office applications (Word, Excel, Visio, PowerPoint) Proficient ability to query large datasets (e.g. SQL, Hue, Impala, Python) with a view to test/analyse content and data profiling Desirable Skills In depth understanding of the aspects of ESG reporting Knowledge of ESG data vendors How well support you . . . .

Educational Bachelor of Engineering,Bachelor Of Technology (Integrated),Bachelor Of Technology,Bachelor Of Business Adm.,Master Of Business Adm.,Master of Science (Technology),Master Of Technology,Master of Technology (Integrated) Service Line Enterprise Package Application Services Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs You will create requirement specifications from the business needs, define the to-be-processes and detailed functional designs based on requirements. You will support configuring solution requirements on the products; understand if any issues, diagnose the root-cause of such issues, seek clarifications, and then identify and shortlist solution alternatives You will also contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Ability to work with clients to identify business challenges and contribute to client deliverables by refining, analyzing, and structuring relevant data Awareness of latest technologies and trends Logical thinking and problem solving skills along with an ability to collaborate Ability to assess the current processes, identify improvement areas and suggest the technology solutions One or two industry domain knowledge Technical and Professional : At least 2 years of configuration & development experience with respect to implementation of OFSAA Solutions (such as ERM, EPM, etc.) Expertise in implementing OFSAA Technical areas covering OFSAAI and frameworks Data Integrator, Metadata Management, Data Modelling. Perform and understand data mapping from Source systems to OFSAA staging; Execution of OFSAA batches and analyses result area tables and derived entities. Perform data analysis using OFSAA Metadata (i.e Technical Metadata, Rule Metadata, Business Metadata) and identify if any data mapping gap and report them to stakeholders. Participate in requirements workshops, help in implementation of designed solution, testing (UT, SIT), coordinate user acceptance testing etc. Knowledge and experience with full SDLC lifecycle Experience with Lean / Agile development methodologies Preferred Skills: Technology-Oracle Industry Solutions-Oracle Financial Services Analytical Applications (OFSAA)

As a senior SAP Consultant, you will serve as a client-facing practitioner working collaboratively with clients to deliver high-quality solutions and be a trusted business advisor with deep understanding of SAP Accelerate delivery methodology or equivalent and associated work products. You will work on projects that assist clients in integrating strategy, process, technology, and information to enhance effectiveness, reduce costs, and improve profit and shareholder value. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. Your primary responsibilities include: Strategic SAP Solution FocusWorking across technical design, development, and implementation of SAP solutions for simplicity, amplification, and maintainability that meet client needs. Comprehensive Solution DeliveryInvolvement in strategy development and solution implementation, leveraging your knowledge of SAP and working with the latest technologies Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Overall, 5 - 12 years of relevant experience in SAP BODS/BOIS/SDI/SDQ and 3+ Years of SAP functional experience specializing in design and configuration of SAP BODS/HANA SDI modules. Experience in gathering business requirements and Should be able to create requirement specifications based on Architecture/Design/Detailing of Processes. Should be able to prepare mapping sheet combining his/her Functional and technical expertise. All BODS Consultant should primarily have Data migration experience from Different Legacy Systems to SAP or Non-SAP systems. Data Migration experience from SAP ECC to S/4HANA using Migration Cockpit or any other methods. In addition to Data Migration experience, Consultant should have experience or Strong knowledge on BOIS(BO Information Steward) for data Profiling or Data Governance Preferred technical and professional experience Having BODS Admin experience/Knowledge, Having working or strong Knowledge of SAP DATA HUB. Experience/Strong knowledge of HANA SDI (Smart data Integration) to use this as an ETL and should be able to develop flow graphs to Validate/Transform data. Consultant should Develop Workflows, Data flows based on the specifications using various stages in BODS

Data Engineer Location PAN INDIA Workmode Hybrid Work Timing :2 Pm to 11 PM Primary Skill Data Engineer Experience in data engineering, with a proven focus on data ingestion and extraction using Python/PySpark.. Extensive AWS experience is mandatory, with proficiency in Glue, Lambda, SQS, SNS, AWS IAM, AWS Step Functions, S3, and RDS (Oracle, Aurora Postgres). 4+ years of experience working with both relational and non-relational/NoSQL databases is required. Strong SQL experience is necessary, demonstrating the ability to write complex queries from scratch. Also, experience in Redshift is required along with other SQL DB experience Strong scripting experience with the ability to build intricate data pipelines using AWS serverless architecture. understanding of building an end-to end Data pipeline. Strong understanding of Kinesis, Kafka, CDK. Experience with Kafka and ECS is also required. strong understanding of data concepts related to data warehousing, business intelligence (BI), data security, data quality, and data profiling is required Experience in Node Js and CDK. JDResponsibilities Lead the architectural design and development of a scalable, reliable, and flexible metadata-driven data ingestion and extraction framework on AWS using Python/PySpark. Design and implement a customizable data processing framework using Python/PySpark. This framework should be capable of handling diverse scenarios and evolving data processing requirements. Implement data pipeline for data Ingestion, transformation and extraction leveraging the AWS Cloud Services Seamlessly integrate a variety of AWS services, including S3,Glue, Kafka, Lambda, SQL, SNS, Athena, EC2, RDS (Oracle, Postgres, MySQL), AWS Crawler to construct a highly scalable and reliable data ingestion and extraction pipeline. Facilitate configuration and extensibility of the framework to adapt to evolving data needs and processing scenarios. Develop and maintain rigorous data quality checks and validation processes to safeguard the integrity of ingested data. Implement robust error handling, logging, monitoring, and alerting mechanisms to ensure the reliability of the entire data pipeline. QualificationsMust Have Over 6 years of hands-on experience in data engineering, with a proven focus on data ingestion and extraction using Python/PySpark. Extensive AWS experience is mandatory, with proficiency in Glue, Lambda, SQS, SNS, AWS IAM, AWS Step Functions, S3, and RDS (Oracle, Aurora Postgres). 4+ years of experience working with both relational and non-relational/NoSQL databases is required. Strong SQL experience is necessary, demonstrating the ability to write complex queries from scratch. Strong working experience in Redshift is required along with other SQL DB experience. Strong scripting experience with the ability to build intricate data pipelines using AWS serverless architecture. Complete understanding of building an end-to end Data pipeline. Nice to have Strong understanding of Kinesis, Kafka, CDK. A strong understanding of data concepts related to data warehousing, business intelligence (BI), data security, data quality, and data profiling is required. Experience in Node Js and CDK. Experience with Kafka and ECS is also required.

Your day in the role will include.. Assists clients in the selection, implementation, and support of Data Services for SAP. Lead multiple sized projects as team member or lead to implement new functionalities and improve existing functionalities including articulating, analysing requirements and translating them into effective solutions Prepare and conduct Unit Testing and User Acceptance Testing You will come with.. Knowledge and experience in implementation planning, fit analysis, configuration, testing, rollout and post-implementation support. Experience in working with teams to prioritize work and drive system solutions by clearly articulating business needs Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Overall 5 - 8 years of relevant experience in SAP BODS/BOIS/SDI/SDQ and 3+ Years of SAP functional experience specializing in design and configuration of SAP BODS/HANA SDI modules. Experience in gathering business requirements and Should be able to create requirement specifications based on Architecture/Design/Detailing of Processes. Should be able to prepare mapping sheet combining his/her Functional and technical expertise. All BODS Consultant should primarily have Data migration experience from Different Legacy Systems to SAP or Non SAP systems. Data Migration experience from SAP ECC to S/4HANA using Migration Cockpit or any other methods. In addition to Data Migration experience, Consultant should have experience or Strong knowledge on BOIS( BO Information Steward) for data Profiling or Data Governance Preferred technical and professional experience Having BODS Admin experience/Knowledge. Having working or strong Knowledge of SAP DATA HUB. Experience/Strong knowledge of HANA SDI (Smart data Integration) to use this as an ETL and should be able to develop flow graphs to Validate/Transform data. Consultant should Develop Workflows, Data flows based on the specifications using various stages in BODS

Your day in the role will include... Assists clients in the selection, implementation, and support of Data Services for SAP. Lead multiple sized projects as team member or lead to implement new functionalities and improve existing functionalities including articulating, analysing requirements and translating them into effective solutions Prepare and conduct Unit Testing and User Acceptance Testing You will come with... Knowledge and experience in implementation planning, fit analysis, configuration, testing, rollout and post-implementation support. Experience in working with teams to prioritize work and drive system solutions by clearly articulating business needs Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Overall 5 - 8 years of relevant experience in SAP BODS/BOIS/SDI/SDQ and 3+ Years of SAP functional experience specializing in design and configuration of SAP BODS/HANA SDI modules. Experience in gathering business requirements and Should be able to create requirement specifications based on Architecture/Design/Detailing of Processes. Should be able to prepare mapping sheet combining his/her Functional and technical expertise. All BODS Consultant should primarily have Data migration experience from Different Legacy Systems to SAP or Non SAP systems. Data Migration experience from SAP ECC to S/4HANA using Migration Cockpit or any other methods. In addition to Data Migration experience, Consultant should have experience or Strong knowledge on BOIS( BO Information Steward) for data Profiling or Data Governance Preferred technical and professional experience Having BODS Admin experience/Knowledge. Having working or strong Knowledge of SAP DATA HUB. Experience/Strong knowledge of HANA SDI (Smart data Integration) to use this as an ETL and should be able to develop flow graphs to Validate/Transform data. Consultant should Develop Workflows, Data flows based on the specifications using various stages in BODS

As a senior SAP Consultant, you will serve as a client-facing practitioner working collaboratively with clients to deliver high-quality solutions and be a trusted business advisor with deep understanding of SAP Accelerate delivery methodology or equivalent and associated work products. You will work on projects that assist clients in integrating strategy, process, technology, and information to enhance effectiveness, reduce costs, and improve profit and shareholder value. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. Your primary responsibilities include: Strategic SAP Solution FocusWorking across technical design, development, and implementation of SAP solutions for simplicity, amplification, and maintainability that meet client needs. Comprehensive Solution DeliveryInvolvement in strategy development and solution implementation, leveraging your knowledge of SAP and working with the latest technologies Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Overall 5 - 12 years of relevant experience in SAP BODS/BOIS/SDI/SDQ and 3+ Years of SAP functional experience specializing in design and configuration of SAP BODS/HANA SDI modules. Experience in gathering business requirements and Should be able to create requirement specifications based on Architecture/Design/Detailing of Processes. Should be able to prepare mapping sheet combining his/her Functional and technical expertise. All BODS Consultant should primarily have Data migration experience from Different Legacy Systems to SAP or Non SAP systems. Data Migration experience from SAP ECC to S/4HANA using Migration Cockpit or any other methods. In addition to Data Migration experience, Consultant should have experience or Strong knowledge on BOIS( BO Information Steward) for data Profiling or Data Governance Preferred technical and professional experience Having BODS Admin experience/Knowledge. Having working or strong Knowledge of SAP DATA HUB. Experience/Strong knowledge of HANA SDI (Smart data Integration) to use this as an ETL and should be able to develop flow graphs to Validate/Transform data. Consultant should Develop Workflows, Data flows based on the specifications using various stages in BODS

As a senior SAP Consultant, you will serve as a client-facing practitioner working collaboratively with clients to deliver high-quality solutions and be a trusted business advisor with deep understanding of SAP Accelerate delivery methodology or equivalent and associated work products. You will work on projects that assist clients in integrating strategy, process, technology, and information to enhance effectiveness, reduce costs, and improve profit and shareholder value. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. Your primary responsibilities include Strategic SAP Solution FocusWorking across technical design, development, and implementation of SAP solutions for simplicity, amplification, and maintainability that meet client needs. Comprehensive Solution DeliveryInvolvement in strategy development and solution implementation, leveraging your knowledge of SAP and working with the latest technologies Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Overall 5 - 12 years of relevant experience in SAP BODS/BOIS/SDI/SDQ and 3+ Years of SAP functional experience specializing in design and configuration of SAP BODS/HANA SDI modules. Experience in gathering business requirements and Should be able to create requirement specifications based on Architecture/Design/Detailing of Processes. Should be able to prepare mapping sheet combining his/her Functional and technical expertise. All BODS Consultant should primarily have Data migration experience from Different Legacy Systems to SAP or Non SAP systems. Data Migration experience from SAP ECC to S/4HANA using Migration Cockpit or any other methods. In addition to Data Migration experience, Consultant should have experience or Strong knowledge on BOIS( BO Information Steward) for data Profiling or Data Governance Preferred technical and professional experience Having BODS Admin experience/Knowledge. Having working or strong Knowledge of SAP DATA HUB. Experience/Strong knowledge of HANA SDI (Smart data Integration) to use this as an ETL and should be able to develop flow graphs to Validate/Transform data. Consultant should Develop Workflows, Data flows based on the specifications using various stages in BODS

Your day in the role will include... Assists clients in the selection, implementation, and support of Data Services for SAP. Lead multiple sized projects as team member or lead to implement new functionalities and improve existing functionalities including articulating, analysing requirements and translating them into effective solutions Prepare and conduct Unit Testing and User Acceptance Testing You will come with... Knowledge and experience in implementation planning, fit analysis, configuration, testing, rollout and post-implementation support. Experience in working with teams to prioritize work and drive system solutions by clearly articulating business needs Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Overall 5 - 8 years of relevant experience in SAP BODS/BOIS/SDI/SDQ and 3+ Years of SAP functional experience specializing in design and configuration of SAP BODS/HANA SDI modules. Experience in gathering business requirements and Should be able to create requirement specifications based on Architecture/Design/Detailing of Processes. Should be able to prepare mapping sheet combining his/her Functional and technical expertise. All BODS Consultant should primarily have Data migration experience from Different Legacy Systems to SAP or Non SAP systems. Data Migration experience from SAP ECC to S/4HANA using Migration Cockpit or any other methods. In addition to Data Migration experience, Consultant should have experience or Strong knowledge on BOIS( BO Information Steward) for data Profiling or Data Governance Preferred technical and professional experience Having BODS Admin experience/Knowledge. Having working or strong Knowledge of SAP DATA HUB. Experience/Strong knowledge of HANA SDI (Smart data Integration) to use this as an ETL and should be able to develop flow graphs to Validate/Transform data. Consultant should Develop Workflows, Data flows based on the specifications using various stages in BODS

RoleIICS Developer Work ModeHybrid Work timings2pm to 11pm LocationChennai & Hyderabad Primary Skills: IICS Job Summary: We are looking for a highly experienced Senior Lead Data Engineer role with strong expertise in Informatica IICS, Snowflake, Unix/Linux Shell Scripting, CI/CD tools, Agile, and cloud platforms. The ideal candidate will lead complex data engineering initiatives, optimize data architecture, and drive automation while ensuring high standards of data quality and governance within an agile environment. Required Qualifications: - Required Minimum 5+ years of experience in data warehousing and data warehouse concepts. Extensive experience in Informatica IICS, and Snowflake. - Experience in designing, developing, and maintaining data integration solutions using IICS. - Experience in designing, implementing, and optimizing data storage and processing solutions using Snowflake. - Design and execute complex SQL queries for data extraction, transformation, and analysis. - Strong proficiency in Unix/Linux shell scripting and SQL. - Extensive expertise in CI/CD tools and ESP Scheduling. - Experience working in agile environments, with a focus on iterative improvements and collaboration. - Knowledge of SAP Data Services is an added advantage. - Expertise in cloud platforms (AWS, Azure). - Proven track record in data warehousing, data integration, and data governance. - Excellent data analysis and data profiling skills - Collaborate with stakeholders to define data requirements and develop effective data strategies. - Strong leadership and communication skills, with the ability to drive strategic data initiatives.

Job Title Data Analyst / Technical Business Analyst Job Summary We are looking for a skilled Data Analyst to support a large-scale data migration initiative within the banking and insurance domain. The role involves analyzing, validating, and transforming data from legacy systems to modern platforms, ensuring regulatory compliance, data integrity, and business continuity. Key Responsibilities Collaborate with business stakeholders, data architects, and IT teams to gather and understand data migration requirements. Analyze legacy banking and insurance systems (e.g., core banking, policy admin, claims, CRM) to identify data structures and dependencies. Work with large-scale datasets and understand big data architectures (e.g., Hadoop, Spark, Hive) to support scalable data migration and transformation. Perform data profiling, cleansing, and transformation using SQL and ETL tools, with the ability to understand and write complex SQL queries and interpret the logic implemented in ETL workflows. Develop and maintain data mapping documents and transformation logic specific to financial and insurance data (e.g., customer KYC, transactions, policies, claims). Validate migrated data against business rules, regulatory standards, and reconciliation reports. Support UAT by preparing test cases and validating migrated data with business users. Ensure data privacy and security compliance throughout the migration process. Document issues, risks, and resolutions related to data quality and migration. Required Skills & Qualifications Bachelor’s degree in Computer Science, Information Systems, Finance, or a related field. 5+ years of experience in data analysis or data migration projects in banking or insurance. Strong SQL skills and experience with data profiling and cleansing. Familiarity with ETL tools (e.g., Informatica, Talend, SSIS) and data visualization tools (e.g., Power BI, Tableau). Experience working with big data platforms (e.g., Hadoop, Spark, Hive) and handling large volumes of structured and unstructured data. Understanding of banking and insurance data domains (e.g., customer data, transactions, policies, claims, underwriting). Knowledge of regulatory and compliance requirements (e.g., AML, KYC, GDPR, IRDAI guidelines). Excellent analytical, documentation, and communication skills. Preferred Qualifications Experience with core banking systems (e.g., Finacle, Flexcube) or insurance platforms Exposure to cloud data platforms (e.g.,AWS, Azure, GCP). Experience working in Agile/Scrum environments. Certification in Business Analysis (e.g., CBAP, CCBA) or Data Analytics.

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 : Informatica MDM Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Advanced Application Engineer, you will develop innovative technology solutions for emerging industries and products. Your typical day will involve interpreting system requirements into design specifications, collaborating with various teams to ensure alignment on project goals, and actively participating in problem-solving discussions to enhance project outcomes. You will engage in continuous learning to stay updated with industry trends and technologies, ensuring that your contributions are both relevant and impactful. 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 implement necessary adjustments to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in Informatica MDM.- Strong understanding of data integration and data quality management.- Experience with data modeling and metadata management.- Familiarity with ETL processes and data warehousing concepts.- Ability to troubleshoot and resolve technical issues related to MDM. Additional Information:- The candidate should have minimum 5 years of experience in Informatica MDM.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education