1380 Data Governance Jobs - Page 16

Title : S&C Global Network - Strategy - MC - Industry X - Smart Connected Professional Title : S&C Global Network - Strategy - MC - Industry X - Smart Connected Products- Consultant Job Title - + + S&C Global Network) > Management Level:07 - Manager Location:Bangalore/ Gurgaon/Pune/Mumbai Must have skills:Business Process Consulting Additional Skills: Problem definition, Architecture, Design, R&D, Innovation mgmt., PLM, BOM, Digital Twin and Thread space, Process Excellence, Digital Transformations, SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge Job Summary : Looking for Self-Driven and Seasoned Senior Manager/Manager with exceptional skills in coordinating, organizing and supporting execution of transformations/improvements in PLM Programs for our clients and to build and grow Engineering and R&D Digitization team.As Senior Manager/Manager in Engineering and R&D Digitization, will need to work closely with leadership to define and deliver in the areas of PLM Enablement, BOM Management, Master Data Management and Digital Twin & Thread Roles & Responsibilities: Key responsibilities include: Lead Engineering and R&D Transformation Programs to drive Innovation and Process Enablement for the Clients Lead and Curate relevent assets, offering in PLM Enablement, Integrated BOM, Product & Engineering Master Data Management and Digital Twin and Thread areas and develop and execute Go To Market for the same along with Leadership In-depth understanding of Product Data Management and able to drive Product Journey with capabilities in defining PLM Roadmap, Process Design, Value Realization and PLM Maturity Assessment areas Experience in Master/Material Data Management and Data Migration Tools and solutions that meet our clients needs in innovative ways. Enabling transformation in R&D utilizing the SAP PLM capabilities by creating business processes for Package/Product design, Bill of Material Management, Engineering Change Management, Product Research, Simulations, Prototyping, Product Testing (qualitative & quantitative) and supplier integration. Professional & Technical Skills: At least 10 years of experience in Business Process Consulting, problem definition, Architecture/Design /Detailing of Processes At least 7 years of experience in SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge as well as general Project Management and Customer Management skills. At least 6 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 5 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM tools Additional Information: Experience of working in PLM, BOM, Master Data Management and Digital Twin and Thread space Expert in SAP PLM, Process Excellence, Data Governance, Digital Transformations and shaping end to end Engineering Transformations Concrete experience leading complex PLM Solution Design across multiple industries Ability to work in a rapidly changing environment where continuous innovation is desired. Analytical and quantitative skills and the ability to use hard data and metrics to back up assumptions and develop business cases. Ability to clearly communicate these data insights to others. General Manager / owner mentality, work closely with Team to deliver At least 6 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 5 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM toolsQualificationExperience:Minimum 5 years of experience is requiredEducational Qualification:Engineering & MBA Preferred

Key Skills & Responsibilities Strong hands-on experience with Snowflake database design, coding, and documentation. Expertise in performance tuning for both Oracle and Snowflake. Experience as an Apps DBA, capable of coordinating with application teams. Proficiency in using OEM, Tuning Advisor, and analyzing AWR reports. Strong SQL skills with the ability to guide application teams on improvements. Efficient management of compute and storage in Snowflake architecture. Execute administrative tasks, handle multiple Snowflake accounts, and apply best practices. Implement data governance via column-level security, dynamic masking, and RBAC. Utilize Time Travel, Cloning, replication, and recovery methods. Manage DML/DDL operations, concurrency models, and security policies. Enable secure data sharing internally and externally. Locations : Multiple location (Bangalore , Hyderabad , Chennai , kolkata , Mumbai , Pune , Gurugram) Interview Mode: Virtual (2 Rounds) Skills: documentation,apps dba,replication,dml/ddl operations,performance tunning,compute management,rbac,security policies,coding,recovery methods,dynamic masking,cloning,oem,storage management,performance tuning,secure data sharing,time travel,tuning advisor,snowflake database design,snowflake,column-level security,data governance,concurrency models,column-level security, dynamic masking, and rbac,oracle,awr reports analysis,sql

Business Analyst focused on designing and implementing a Data Governance strategy and Master Data Management (MDM) framework. This role will support the high-level design and detailed design phases of a transformative project involving systems such as 3DS PLM, SAP, Team Centre, and Blue Yonder. The ideal candidate will bring a blend of business analysis expertise, data governance knowledge, and automotive/manufacturing domain experience to drive workshops, map processes, and deliver actionable recommendations. Working closely with the GM of Master Data and MDM technical resources, you will play a pivotal role in aligning people, processes, and technology to achieve M&Ms data governance and MDM objectives. Key Responsibilities Requirements Gathering & Workshops: Lead and facilitate workshops with business and IT stakeholders to elicit requirements, define data governance policies, and establish MDM strategies for automotive specific data domains (e.g., parts, engineering data, bill of material, service parts, supplier and dealer master data). Process Mapping & Design: Document and design master data-related processes, including data flows between systems such as 3DS, SAP, Talend, and Blue Yonder, ensuring alignment with business needs and technical feasibility. Analysis & Recommendations: Analyse existing data structures, processes, and system integrations to identify gaps and opportunities; provide clear, actionable recommendations to support Data Governance and MDM strategy. Stakeholder Collaboration: Act as a bridge between business units, IT teams, and technical resources (e.g., 3DS specialists) to ensure cohesive delivery of the project objectives. Documentation & Communication: Create high-quality deliverables, including process maps, requirement specifications, governance frameworks, and summary reports, tailored to both technical and non-technical audiences. Support Detailed Design: Collaborate with the 3DS/Talend technical resource to translate high-level designs into detailed MDM solutions, ensuring consistency across people, process, and technology components. Project Support: Assist the MDM Leadership in planning, tracking, and executing project milestones, adapting to evolving client needs. Experience Required Skills & Qualifications 5+ years of experience as a Business Analyst, with a focus on data governance, master data management (MDM) such as Talend, Informatica, Reltio etc. Proven track record of working on auto/manufacturing industry projects, ideally with exposure to systems like 3DS, Team Centre, SAP S/4HANA, MDG, or Blue Yonder. Technical Knowledge Strong understanding of MDM concepts, data flows, and governance frameworks. Familiarity with auto-specific data domains (e.g., ECCMA/E-Class Schema). Experience with process modelling tools (e.g., Visio, Lucid chart, or BPMN) and documentation standards. Soft Skills Exceptional communication and facilitation skills, with the ability to engage diverse stakeholders and drive consensus in workshops. Methodical and structured approach to problem-solving and project delivery. Ability to summarize complex information into clear, concise recommendations. Education: Bachelors degree in business, Information Systems, or a related field (or equivalent experience). Certifications: Relevant certifications (e.g., CBAP, PMP, or MDM-specific credentials) are a plus but not required. Preferred Qualifications Prior consulting experience in a client-facing role. Hands-on experience with MDG, Talend, Informatica, Reltio etc. or similar MDM platforms. Exposure to data quality analysis or profiling (not required to be at a Data Analyst level) Skills: 3ds,eccma/e-class schema,data governance policies,high-quality deliverables,data flows,talend,governance frameworks,mdm platforms,mdm strategy,mdm strategies,team centre,mdm leadership,mdm objectives,m&m's data governance,master data management (mdm),sap,process modelling tools,cbap,master data,stakeholder collaboration,process mapping,visio,pmp,data quality analysis,mdg,data governance,informatica,3ds plm,data governance knowledge,problem-solving,workshop facilitation,mdm,mdm concepts,bpmn,auto-specific data domains,mdm-specific credentials,blue yonder,communication skills,reltio,sap s/4hana,lucid chart,profiling

Key Responsibilities Atlan Deployment & Connector Setup : Configure Atlan (SaaS or private cloud), set up connectors for Data Bricks, Hadoop, Power BI, and schedule metadata ingestion pipelines. Metadata Modeling & Domain Onboarding : Work with domain owners to map schemas, define custom metadata attributes (sensitivity, owner, SLA), and create standardized ingestion playbooks for new data domains. Lineage Instrumentation & Data Profiling : Instrument column-level lineage via OpenLineage or native Atlan connectors, configure automated profiling jobs (row counts, null rates) to surface data quality metrics. Governance Policy Implementation : Translate policies (PII detection, data retention) into Atlans rule engine, configure RBAC and SSO/LDAP integration, and implement encryption/masking for sensitive datasets. Monitoring & Troubleshooting : Build monitoring dashboards (CloudWatch, Grafana) to track ingestion health and API errors, diagnose pipeline failures, and coordinate fixes with Atlan Support and source-system teams. Required Qualifications 3-5 years implementing or supporting ( hands-on ) Atlans platform (catalog, lineage, policy automation) (Good to have: Collibra, Alation experience). Proficiency in Python or JavaScript for API integrations, strong SQL skills, and hands-on experience with ETL/ELT frameworks. Familiarity with cloud platforms (AWS/GCP), containerization (Kubernetes/Docker), and scripting infrastructure as code (Terraform, CloudFormation). Solid understanding of metadata concepts (technical vs. business metadata, lineage, profiling) and data classification schemes (PII, PCI, PHI). Strong stakeholder-engagement skills: able to run onboarding sessions and create clear runbooks. Bachelor’s in computer science, Data Engineering, or related field; relevant cloud or Atlan certifications a plus

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 : PySpark 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 PySpark.- Strong understanding of data modeling and database design principles.- Experience with data warehousing solutions and ETL tools.- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.- Knowledge of data governance and data quality frameworks. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- 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 : PySpark 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 PySpark.- Strong understanding of data modeling and database design principles.- Experience with data warehousing solutions and ETL tools.- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.- Knowledge of data governance and data quality frameworks. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- 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 3 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 data requirements and contribute to the overall data strategy of the organization, ensuring that data is accessible, reliable, and actionable for stakeholders. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and implementation of data architecture and data models.- Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data integration techniques and ETL processes.- Experience with data quality frameworks and data governance practices.- 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 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Hyderabad 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 : PySpark 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 PySpark.- Strong understanding of data modeling and database design principles.- Experience with data warehousing solutions and ETL tools.- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.- Knowledge of data governance and data quality best practices. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- This position is based in Hyderabad.- 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 : PySpark 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 PySpark.- Strong understanding of data modeling and database design principles.- Experience with data warehousing solutions and ETL tools.- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.- Knowledge of data governance and data quality best practices. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education

Develop, test and support future-ready data solutions for customers across industry verticals. Develop, test, and support end-to-end batch and near real-time data flows/pipelines. Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies. Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Graduate with a minimum of 6+ years of related experience required. Experience in modelling and business system designs. Good hands-on experience on DataStage, Cloud-based ETL Services. Have great expertise in writing TSQL code. Well-versed with data warehouse schemas and OLAP techniques. Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. Ability to lead Data transformation projects with multiple junior data engineers. Strong oral written and interpersonal skills for interacting throughout all levels of the organization. Ability to communicate complex business problems and technical solutions.

As an 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 search 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 behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor’s degree in computer science, Supply Chain, Information Systems, or related field. Minimum of 5-7 years of experience in Master Data Management or related field. 3-5 years SAP experience / ERP experience required with strong exposure to at least two of the functional areas described above – Proven experience in leading an MDM team. Strong knowledge of data governance principles, best practices, and technologies. – Experience with data profiling, cleansing, and enrichment tools. Ability to work with cross-functional teams to understand and address their master data needs. Proven ability to build predictive analytics tools using PowerBI, Spotfire or otherwise 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

Job Description Job Purpose ICE Data Services, a subsidiary of ICE, has an exciting opportunity within our third-party Market Data Governance team. The Market Data Governance team is responsible for the governance, oversight and administration of third-party market data usage rights within the organization. Responsibilities Summarize and document market data usage policies and distribution rights Assist with processing source mandated changes to usage policies and pricing by updating documentation, maintaining internal entitlement systems and preparing materials to communicate changes both internally and externally to clients Administer system for ICE product entitlement systems, including setting up new services, products and other features Review and resolve inquiries related to usage policies, pricing and billing issues, as well as entitlement system administration Provide support to the external audit defense team by researching audit related inquiries, providing entitlement system audit reports, and tracking remediation items Assist with various compliance related projects Knowledge and Experience Experience in market data industry, including compliance and contract management/ negotiation background a plus Familiarity with real time, end-of-day and derived data use cases Ability to analyze complex policy data (contracts and agreements, fee schedules, new rule announcements) to identify adjustments to current systems and processes Highly effective written and verbal communication skills Strong analytical and problem-solving skills Proficiency in the standard Microsoft Office suite (Excel, Word, Access); knowledge of Microsoft Visio a plus Proficiency with SQL Ability to learn new software applications and systems Adept at creating and maintaining effective relationships through strong interpersonal skills

At Broadridge, weve built a culture where the highest goal is to empower others to accomplish more. If you re passionate about developing your career, while helping others along the way, come join the Broadridge team. 1. 6-10 years of experience as a Product Owner, with demonstrated expertise in managing complex data elements across multiple products. 2. Capable of defining and communicating a clear vision for data products, ensuring alignment with the organizations priorities and goals. 3. Collaborate with multiple cross-functional teams - including engineering, product and business SMEs - to gather and understand their data needs and translate them into actionable requirements. 4. Design and implement a robust, scalable, and transparent intake process for collecting, evaluating, prioritizing, and tracking data-related requests from across the organization. 5. Own the product backlog, ensuring stories and tasks are clear, complete, and prioritized according to business value and technical feasibility. 6. Partner with technical teams to deeply understand source systems, data models, data pipelines, data quality, and data governance issues. Facilitate discussions around data architecture, accessibility, and integration. 7. Define clear, comprehensive user stories and acceptance criteria based on business and technical requirements, especially for complex data use cases and integrations. 8. Ensure effective communication and change management practices are in place as data products evolve and are rolled out to users. We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company and ultimately a community that recognizes and celebrates everyone s unique perspective.

As an Data Engineer 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 search 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 behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4+ years of experience in data modelling, data architecture. Proficiency in data modelling tools ERwin, IBM Infosphere Data Architect and database management systems Familiarity with different data models like relational, dimensional and NoSQl databases. Understanding of business processes and how data supports business decision making. Strong understanding of database design principles, data warehousing concepts, and data governance practices Preferred technical and professional experience Excellent analytical and problem-solving skills with a keen attention to detail. Ability to work collaboratively in a team environment and manage multiple projects simultaneously. Knowledge of programming languages such as SQL

As an Data Engineer 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 search 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 behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4+ years of experience in data modelling, data architecture. Proficiency in data modelling tools ERwin, IBM Infosphere Data Architect and database management systems Familiarity with different data models like relational, dimensional and NoSQl databases. Understanding of business processes and how data supports business decision making. Strong understanding of database design principles, data warehousing concepts, and data governance practices Preferred technical and professional experience Excellent analytical and problem-solving skills with a keen attention to detail. Ability to work collaboratively in a team environment and manage multiple projects simultaneously. Knowledge of programming languages such as SQL

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

Develop, test and support future-ready data solutions for customers across industry verticals Develop, test, and support end-to-end batch and near real-time data flows/pipelines Demonstrate understanding in data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum of 2+ years of related experience required Experience in modeling and business system designs Good hands-on experience on DataStage, Cloud based ETL Services Have great expertise in writing TSQL code Well versed with data warehouse schemas and OLAP techniques Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate Must be a strong team player/leader Ability to lead Data transformation project with multiple junior data engineers Strong oral written and interpersonal skills for interacting and throughout all levels of the organization. Ability to clearly communicate complex business problems and technical solutions.

Develop, test and support future-ready data solutions for customers across industry verticals Develop, test, and support end-to-end batch and near real-time data flows/pipelines Demonstrate understanding in data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum of 2+ years of related experience required Experience in modeling and business system designs Good hands-on experience on DataStage, Cloud based ETL Services Have great expertise in writing TSQL code Well versed with data warehouse schemas and OLAP techniques Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate Must be a strong team player/leader Ability to lead Data transformation project with multiple junior data engineers Strong oral written and interpersonal skills for interacting and throughout all levels of the organization. Ability to clearly communicate complex business problems and technical solutions.

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

Develop, test and support future-ready data solutions for customers across industry verticals. Develop, test, and support end-to-end batch and near real-time data flows/pipelines. Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies. Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Graduate with a minimum of 6+ years of related experience required. Experience in modelling and business system designs. Good hands-on experience on DataStage, Cloud-based ETL Services. Have great expertise in writing TSQL code. Well-versed with data warehouse schemas and OLAP techniques. Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. Ability to lead Data transformation projects with multiple junior data engineers. Strong oral written and interpersonal skills for interacting throughout all levels of the organization. Ability to communicate complex business problems and technical solutions.

Develop, test and support future-ready data solutions for customers across industry verticals. Develop, test, and support end-to-end batch and near real-time data flows/pipelines. Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies. Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Graduate with a minimum of 6+ years of related experience required. Experience in modelling and business system designs. Good hands-on experience on DataStage, Cloud-based ETL Services. Have great expertise in writing TSQL code. Well-versed with data warehouse schemas and OLAP techniques. Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. Ability to lead Data transformation projects with multiple junior data engineers. Strong oral written and interpersonal skills for interacting throughout all levels of the organization. Ability to communicate complex business problems and technical solutions.

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