1380 Data Governance Jobs - Page 38

In this role, you will play a key role in designing, building, and optimizing scalable data products within the Telecom Analytics domain. You will collaborate with cross-functional teams to implement AI-driven analytics, autonomous operations, and programmable data solutions. This position offers the opportunity to work with cutting-edge Big Data and Cloud technologies, enhance your data engineering expertise, and contribute to advancing Nokias data-driven telecom strategies. If you are passionate about creating innovative data solutions, mastering cloud and big data platforms, and working in a fast-paced, collaborative environment, this role is for you! You have: Bachelors or masters degree in computer science, Data Engineering, or related field with 8+ years of experience in data engineering with a focus on Big Data, Cloud, and Telecom Analytics. Hands-on expertise in Ab Initio for data cataloguing, metadata management, and lineage. Skills in data warehousing, OLAP, and modelling using BigQuery, Clickhouse, and SQL. Experience with data persistence technologies like S3, HDFS, and Iceberg. Hold on, Python and scripting languages. It would be nice if you also had: Experience with data exploration and visualization using Superset or BI tools. Knowledge in ETL processes and streaming tools such as Kafka. Background in building data products for the telecom domain and understanding of AI and machine learning pipeline integration. Data Governance: Manage source data within the Metadata Hub and Data Catalog. ETL Development: Develop and execute data processing graphs using Express It and the Co-Operating System. ETL Optimization: Debug and optimize data processing graphs using the Graphical Development Environment (GDE). API Integration: Leverage Ab Initio APIs for metadata and graph artifact management. CI/CD Implementation: Implement and maintain CI/CD pipelines for metadata and graph deployments. Team Leadership & Mentorship: Mentor team members and foster best practices in Ab Initio development and deployment.

We are seeking a visionary Senior Data Scientist with a deep expertise in statistical prediction modelling, artificial intelligence (AI), and machine learning (ML) applications in healthcare. Strong background in multivariate statistical modeling, time-series analysis, and machine learning algorithms (e.g., XGBoost, RNNs, Bayesian models). Prior experience in healthcare data integration, preferably population health analytics. Proficiency in Python/R, SQL, and relevant libraries (Scikit-learn, TensorFlow/PyTorch, pandas, etc.). Familiarity with privacy-preserving analytics, data governance, and clinical data standards (e.g., HL7, FHIR).

We are Hiring Data Governance Analyst Level 3 for US based IT Company based in Hyderabad. Candidates with experience in Data Governance can apply. Job Title : Data Governance Analyst Level 3 Location : Hyderabad Experience : 7+ Years CTC : 18 LPA - 20 LPA Working shift : Day shift Description: We are seeking a seasoned and detail-focused Senior Data Governance Analyst (Level 3) to support and drive enterprise-wide data governance initiatives . This position will play a crucial role in implementing and managing data governance frameworks , ensuring data quality , and supporting regulatory compliance efforts across business units. The ideal candidate will bring deep expertise in data governance best practices , data quality management , metadata , and compliance standards within the financial services industry . As a senior team member, the analyst will collaborate closely with data stewards , business stakeholders , and technical teams to ensure consistent, accurate, and trusted use of enterprise data. Key Responsibilities: Implement and enhance data governance policies, standards, and processes across the organization Partner with business and technical teams to define and manage data ownership, stewardship , and accountability models Maintain and improve metadata and data lineage documentation using tools such as Collibra , Alation , or similar platforms Monitor key data quality metrics , conduct root cause analysis , and lead issue resolution efforts Ensure compliance with regulatory data requirements (e.g., BCBS 239, GDPR, CCPA ) Facilitate and lead data governance meetings , working groups, and stakeholder communications Support the creation and deployment of data literacy initiatives across the enterprise Document governance practices and develop reports for audits and executive leadership Serve as a subject matter expert in data governance and promote data management best practices across departments Required Skills & Qualifications: 5+ years of experience in Data Governance , Data Quality , or Data Management roles Proven experience in developing and managing data governance frameworks in complex organizational environments Strong understanding of data quality principles , data standards , and issue management workflows Experience with metadata management , data cataloging , and lineage tracking Proficiency with governance tools like Collibra , Alation , or similar platforms Solid grasp of data compliance and regulatory standards in the financial services sector Excellent communication, stakeholder engagement, and documentation skills Strong analytical thinking and problem-solving capabilities Preferred Qualifications: Experience in banking or financial services environments Understanding of enterprise data architecture , Master Data Management (MDM) , and BI/reporting systems Knowledge of data privacy regulations such as GDPR , CCPA , etc. Experience working within Agile project methodologies For further assistance contact/whatsapp : 9354909517 or write to hema@gist.org.in

Job Title - S&C Global Network - Strategy - MC - Industry X - Smart Connected Products - Consultant MC - Industry X Digital Engineering R&D - Manager - 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 tools Qualification Experience: Minimum 5 years of experience is required Educational Qualification: Engineering & MBA Preferred

We are Hiring Senior Data Management Specialist Level 3 for US based IT Company based in Hyderabad. Candidates with experience in Data Management and Snowflake can app. Job Title : Senior Data Management Specialist Level 3 Location : Hyderabad Experience : 7+ Years CTC : 18 LPA - 20 LPA Working shift : Day shift Description: We are looking for an experienced and highly skilled Data Management Specialist (Level 3) to contribute to enterprise-level data solutions with an emphasis on cloud data platforms and modern data engineering tools . The ideal candidate will possess hands-on expertise with Snowflake , combined with a solid foundation in data integration, modeling , and cloud-based database technologies . This role is a key part of a high-impact data team dedicated to ensuring the quality, availability, and governance of enterprise data assets. As a Level 3 specialist , the individual will be expected to lead and execute complex data management tasks , while collaborating closely with data architects, analysts, and business stakeholders . Key Responsibilities: Design, develop, and maintain scalable data pipelines and integrations using Snowflake and other cloud data technologies Handle structured and unstructured data to support analytics, reporting, and operational workloads Develop and optimize complex SQL queries and data transformation logic Collaborate with data stewards and governance teams to uphold data quality, consistency, and compliance Perform data profiling, cleansing, and validation across multiple source systems Support ETL/ELT development and data migration initiatives using tools like Informatica, Talend , or dbt Design and maintain data models , including star and snowflake schemas Ensure performance tuning, monitoring, and troubleshooting of Snowflake environments Document data processes, data lineage, and metadata within the data governance framework Act as a technical SME , offering guidance and support to junior team members Required Skills & Qualifications: Minimum 5 years of experience in data engineering, data management, or similar roles Strong hands-on experience with Snowflake (development, administration, performance optimization) Proficiency in SQL , data modeling , and cloud-native data architectures Experience working on cloud platforms such as AWS, Azure , or Google Cloud (with Snowflake) Familiarity with ETL tools like Informatica, Talend , or dbt Solid understanding of data governance , metadata management , and data quality best practices Experience with Python or Shell scripting for automation and data operations Strong analytical and problem-solving abilities Excellent communication and documentation skills For further assistance contact/whatsapp : 9354909512 or write to pankhuri@gist.org.in

At Codvo, software and people transformations go together We are a global empathy-led technology services company with a core DNA of product innovation and mature software engineering We uphold the values of Respect, Fairness, Growth, Agility, and Inclusiveness in everything we do About The Role :We are looking for a Data & BI Solution Architect to lead data analytics initiatives in the retail domainThe candidate should be skilled in data modeling, ETL, visualization, and big data technologies Responsibilities:Architect end-to-end data and BI solutions for retail analytics Define data governance, security, and compliance frameworks Work with stakeholders to design dashboards and reports for business insights Implement data pipelines and integrate with cloud platforms Skills Required:Proficiency in SQL, Python, and Spark Experience with ETL tools (Informatica, Talend, AWS Glue) Knowledge of Power BI, Tableau, and Looker Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery)

Key Responsibilities: Lead the implementation and optimization of Microsoft Purview across the clients data estate in MS Fabric/Azure Cloud Platform (ADF or Data Bricks etc). Define and enforce data governance policies, data classification, sensitivity labeling, and data lineage to ensure readiness for GenAI use cases. Collaborate with data engineers, architects, and AI/ML teams to ensure data discoverability, compliance, and ethical AI readiness. Design and implement data cataloging strategies to support GenAI model training and inference. Provide guidance on data access controls, privacy, and regulatory compliance (e.g., GDPR, HIPAA). Conduct workshops and training sessions for client stakeholders on Purview capabilities and best practices. Monitor and report on data governance KPIs and GenAI readiness metrics. Required Skills & Qualifications: Proven experience as a Microsoft Purview SME in enterprise environments. Strong knowledge of Microsoft Fabric, OneLake, and Synapse Data Engineering. Experience with data governance frameworks and metadata management. Hands-on experience with data classification, sensitivity labels, and data lineage tracking. Understanding of compliance standards and data privacy regulations. Excellent communication and stakeholder management skills. Preferred Qualifications: Microsoft certifications in Azure Data, Purview, or Security & Compliance. Experience working with Azure OpenAI, Copilot integrations, or other GenAI platforms. Background in data science, AI ethics, or ML operations is a plus.

Should have a B.E./B.Tech/MCA/MBA in Finance, Information Systems, Computer Science or a related field 5-7 years of experience as a Data and Cloud architecture with client stakeholders Understand and review PowerShell (PS), SSIS, Batch Scripts, and C# (.NET 3.0) codebases for data processes. Assess complexity of trigger migration across Active Batch (AB), Synapse, ADF, and Azure Databricks (ADB). Evaluate the data governance framework and Power BI environment. Provide recommendations for enhancing data quality, and discoverability, and optimize Power BI performance. Define usage of Azure SQL DW, SQL DB, and Data Lake (DL) for various workloads, proposing transitions where beneficial. Analyze data patterns for optimization, including direct raw-to-consumption loading and zone elimination (e.g., stg/app zones). Understand requirements for external tables (Lakehouse) Excellent communication skills, both written and verbal Extremely strong organizational and analytical skills with strong attention to detail Strong track record of excellent results delivered to internal and external clients Able to work independently without the needs for close supervision and collaboratively as part of cross-team efforts Experience with delivering projects within an agile environment Experience in project management and team management

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Master Data Management (MDM) Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years of education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements using Master Data Management (MDM) skills. Your typical day will involve working on MDM projects, collaborating with cross-functional teams, and ensuring the successful delivery of MDM solutions. Roles & Responsibilities: Design, develop, and implement MDM solutions to meet business requirements. Collaborate with cross-functional teams to ensure successful delivery of MDM solutions. Provide technical expertise in MDM and related technologies. Develop and maintain technical documentation related to MDM solutions. Ensure adherence to best practices and standards for MDM development. Professional & Technical Skills: Must To Have Skills:Strong experience in Master Data Management (MDM). Good To Have Skills:Experience in Informatica MDM, IBM MDM, or SAP MDM. Experience in designing and implementing MDM solutions. Strong understanding of data modeling and data integration concepts. Experience in data quality management and data governance. Experience in SQL and database technologies. Additional Information: The candidate should have a minimum of 3 years of experience in Master Data Management (MDM). This position is based at our Hyderabad office. Qualifications 15 years of education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Master Data Governance MDG Tool Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. 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 Lead the effort to design, build, and configure applications Act as the primary point of contact for the project Manage the team and ensure successful project delivery Collaborate with multiple teams to make key decisions Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: Must To Have Skills:Proficiency in SAP Master Data Governance MDG Tool Strong understanding of data governance principles and best practices Experience in designing and implementing data governance solutions using SAP MDG Knowledge of data modeling and data integration concepts Experience in data quality management and data cleansing techniques Additional Information: The candidate should have a minimum of 5 years of experience in SAP Master Data Governance MDG Tool This position is based at our Bengaluru office A 15 years full-time education is required Qualifications 15 years full time education

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Marketing Analytics Title :- Data Science Consultant/ Data Science Manager Marketing Analytics Job location :- Any out of 6 AI locations About S&C - Global Network (GN) :- Accenture GN's Data & AI (AI Hub India) practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling to outperform the competition. WHAT'S IN IT FOR YOU? As part of our Analytics practice, you will join a worldwide network of over 20k+ smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. What you would do in this role A Consultant/Manager for Customer Data Platforms serves as the day-to-day marketing technology point of contact and helps our clients get value out of their investment into a Customer Data Platform (CDP) by developing a strategic roadmap focused on personalized activation. You will be working with a multidisciplinary team of Solution Architects, Data Engineers, Data Scientists, and Digital Marketers. Key Duties and Responsibilities: Be a platform expert in one or more leading CDP solutions. Developer level expertise on Lytics, Segment, Adobe Experience Platform, Amperity, Tealium, Treasure Data etc. Including custom build CDPs Deep developer level expertise for real time even tracking for web analytics e.g., Google Tag Manager, Adobe Launch etc. Provide deep domain expertise in our client's business and broad knowledge of digital marketing together with a Marketing Strategist industry Deep expert level knowledge of GA360/GA4, Adobe Analytics, Google Ads, DV360, Campaign Manager, Facebook Ads Manager, The Trading desk etc. Assess and audit the current state of a client's marketing technology stack (MarTech) including data infrastructure, ad platforms and data security policies together with a solutions architect. Conduct stakeholder interviews and gather business requirements Translate business requirements into BRDs, CDP customer analytics use cases, structure technical solution Prioritize CDP use cases together with the client. Create a strategic CDP roadmap focused on data driven marketing activation. Work with the Solution Architect to strategize, architect, and document a scalable CDP implementation, tailored to the client's needs. Provide hands-on support and platform training for our clients. Data processing, data engineer and data schema/models expertise for CDPs to work on data models, unification logic etc. Work with Business Analysts, Data Architects, Technical Architects, DBAs to achieve project objectives - delivery dates, quality objectives etc. Business intelligence expertise for insights, actionable recommendations. Project management expertise for sprint planning Qualifications Who we are looking for? B Tech/M Tech from reputed engineering colleges Masters/M Tech in Computer Science Master degree in Statistics/Econometrics/ Economics from reputed institute M.Phil/Ph.D in Statistics/Econometrics or related field At least 4+ years of relevant work experience of implementing CDP solutions with deep understanding of identity resolution methods At least 4+ years of relevant work experience in marketing, consulting, or analytics At least 5+ years of experience working in an agency environment At least 3 years of experience working with multi-channel marketing hubs by Adobe Experience Platform, Salesforce, Pega or similar. Strong understanding of data governance and compliance (i.e. PII, PHI, GDPR, CCPA) Experience with analytics tools like Google Analytics or Adobe Analytics is a plus. Experience with A/B testing tools is a plus. Must have programming experience in PySpark, Python, Shell Scripts. RDBMS, TSQL, NoSQL experience is must. Manage large volumes of structured and unstructured data, extract & clean data to make it amenable for analysis. Experience in deployment and operationalizing the code is an added advantage. Experience with source control systems such as Git, Bitbucket, and Jenkins build and continuous integration tools. Proficient in Excel, MS word, PowerPoint, etc Technical Skills: Any CDP platforms experience e.g., Lytics CDP platform developer, or/and Segment CDP platform developer, or/and Adobe Experience Platform (Real time CDP ) developer, or/and Custom CDP developer on any cloud GA4/GA360, or/and Adobe Analytics Google Tag Manager, and/or Adobe Launch, and/or any Tag Manager Tool Google Ads, DV360, Campaign Manager, Facebook Ads Manager, The Trading desk etc. Deep Cloud experiecne (GCP, AWS, Azure) Advance level Python, SQL, Shell Scripting experience Data Migration, DevOps, MLOps, Terraform Script programmer Soft Skills: Strong problem solving skills Good team player Attention to details Good communication skills Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

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 : Alation Data Catalog Good to have skills : No Function Specialty Minimum 7.5 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, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success 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. Assist with the data platform blueprint and design. Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Develop and maintain data platform components. Contribute to the overall success of the organization. Professional & Technical Skills: Must To Have Skills:Proficiency in Alation Data Catalog. Strong understanding of data platform architecture and design principles. Experience with data integration and data modeling. Hands-on experience with data platform technologies and tools. Solid grasp of data governance and data management best practices. Additional Information: The candidate should have a minimum of 7.5 years of experience in Alation Data Catalog. This position is based at our Bengaluru office. A 15 years full time education is required. Qualifications 15 years full time education

The STIBO Master Data Management role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the STIBO Master Data Management domain.

The Enterprise Application Architect role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the Enterprise Application Architect domain.

The Master Data Management (MDM) E0 role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the Master Data Management (MDM) E0 domain.

We are Hiring Senior Business Intelligence Analyst Level 3 for a US based IT Company based in Hyderabad. Candidates with 7 years of experience as Business Intelligence Analyst can apply. Job Title : Senior Business Intelligence Analyst Level 3 Location : Hyderabad Experience : 7+ Years CTC : upto 20 LPA Working shift : Day shift Job Description: We are looking for a seasoned and analytical Senior Business Intelligence (BI) Analyst to join our data and analytics team. In this Level 3 role, you will play a vital role in turning complex data into meaningful insights that support strategic business decisions. We are seeking a candidate with deep knowledge of WebFocus, solid BI development expertise, and a strong background in the financial services industry. The selected candidate will be responsible for designing, developing, and delivering BI solutions using tools like WebFocus, Tableau, and Alteryx, while ensuring data quality, performance, and usability. Key Responsibilities: Lead the design, development, and enhancement of reports, dashboards, and ad hoc analyses using WebFocus Serve as a subject matter expert on WebFocus and enterprise reporting practices to ensure performance and standardization Partner with business stakeholders to gather reporting requirements and translate them into effective BI solutions Build and maintain interactive dashboards using Tableau and Power BI, and streamline workflows using Alteryx Develop complex SQL queries to extract, validate, and transform data from multiple sources Conduct data analysis to identify trends, insights, and opportunities for business growth Uphold data governance practices, ensure data accuracy, and maintain proper documentation across BI platforms Mentor junior team members and contribute to continuous improvement of BI processes and standards Support regulatory and compliance reporting within the banking and financial domain Required Skills & Qualifications: 5+ years of experience in Business Intelligence, Data Analytics, or related roles Proven hands-on expertise with WebFocus (InfoAssist, App Studio, BI Portal) Strong understanding of financial services data, KPIs, and reporting methodologies Proficiency in Tableau, Alteryx, and SQL Experience with Power BI is a plus Excellent communication skills, with the ability to collaborate effectively with both technical and non-technical teams Strong analytical mindset, attention to detail, and ability to present data-driven narratives Experience working in Agile or Scrum environments Preferred Qualifications: Familiarity with data governance, metadata management, and data cataloging tools Experience with cloud-based data platforms (AWS, Azure, Snowflake) Knowledge of compliance and regulatory reporting in the financial sector For further assistance contact/whatsapp: 9354909521 or write to priyanshi@gist.org.in

The IBM InfoSphere DataStage E3 role involves working with relevant technologies, ensuring smooth operations, and contributing to business objectives. Responsibilities include analysis, development, implementation, and troubleshooting within the IBM InfoSphere DataStage E3 domain.

Role & responsibilities Developer/ Lead 5+ years Responsible for leading CDQ/IDMC development and delivery - Responsible for analysis, development and deploy DQ rules using CDQ. Preferred candidate profile

Some careers shine brighter than others. If you re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist In this role, you will: The Lead Cybersecurity Analytics Cloud Infrastructure & Site Reliability Engineer role will work closely with Principal engineers within the Platform & Data Engineering Team, contributing to and coordinating data engineering, data acquisition, cloud infrastructure and platform engineering, platform operations, and production support activities using ground-breaking cloud and big data technologies. There is ample room for growth in the role, with opportunities to develop skills across multiple domains, starting from a strong foundation in one or more core technical areas e. g. , data engineering or cloud infrastructure engineering. For this role, cybersecurity-specific knowledge is preferred but not essential. Requirements To be successful in this role, you should meet the following requirements: Cloud Infrastructure & Platform Engineering (Azure preferred) Cloud Technologies Ability to build, operate, maintain, and support cloud infrastructure & data services at scale Experience of engineering and deploying a range of Services in Azure Experience in dealing with multiple support groups that contribute to a Service Experience working with highly available/high-load web infrastructure e. g. , web proxies, reverse proxies Data Quality, Data Management, Data Controls & Data Governance Security and Compliance, e. g. , IAM and cloud compliance/auditing/monitoring tools Troubleshooting/service support experience A track record of constantly looking for ways to do things better and an excellent understanding of the mechanisms necessary to successfully implement change Demonstrated experience troubleshooting complex problems, especially those resulting from interactions across a cloud, services, and application stack. Strong documentation, change management, and agile development methods

Skills Exp Required Databricks 5+ Yrs Py spark 5+ Yrs Spark 5+ Yrs SQL 5+ Yrs AWS 2+ Yrs ECMS Req # 527070 Relevant and Total years of experience Relevant 5+ years and Total 6 + years Detailed job description - Skill Set: Strong Data Engineer with 5+ Years exp in Data Bricks , Pyspark , SQL Design and develop data processing pipelines and analytics solutions using Databricks. Architect scalable and efficient data models and storage solutions on the Databricks platform. Collaborate with architects and other teams to migrate current solution to use Databricks. Optimize performance and reliability of Databricks clusters and jobs to meet SLAs and business requirements. Use best practices for data governance, security, and compliance on the Databricks platform. Mentor junior engineers and provide technical guidance. Stay current with emerging technologies and trends in data engineering and analytics to drive continuous improvement. Strong understanding of distributed computing principles and experience with big data technologies such as Apache Spark. Experience with cloud platforms such as AWS, Azure, or GCP, and their associated data services. Proven track record of delivering scalable and reliable data solutions in a fast-paced environment. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills with the ability to work effectively in cross-functional teams. Good to have experience with containerization technologies such as Docker and Kubernetes. Knowledge of DevOps practices for automated deployment and monitoring of data pipelines. Mandatory Skills Strong Data Engineer with 5+ Years exp in Data Bricks , Pyspark , SQL Design and develop data processing pipelines and analytics solutions using Databricks. Architect scalable and efficient data models and storage solutions on the Databricks platform. Collaborate with architects and other teams to migrate current solution to use Databricks. Optimize performance and reliability of Databricks clusters and jobs to meet SLAs and business requirements. Use best practices for data governance, security, and compliance on the Databricks platform. Mentor junior engineers and provide technical guidance. Stay current with emerging technologies and trends in data engineering and analytics to drive continuous improvement. Strong understanding of distributed computing principles and experience with big data technologies such as Apache Spark. Experience with cloud platforms such as AWS, Azure, or GCP, and their associated data services. Vendor Billing range in local currency (per day) INR 8000/Day Work Location Bangalore, Hyderabad (Preferred) Notice period 15 days WFO/WFH/Hybrid WFO Hybrid BGCHECK before or After onboarding Post onboarding Skill Matrix: Skills Exp Required Databricks 5+ Yrs Py spark 5+ Yrs Spark 5+ Yrs SQL 5+ Yrs AWS 2+ Yrs

Number of Openings* 3-5 Approved TMS RQ# * Duration of contract* 12 Total Yrs. of Experience* 5+ Relevant Yrs. of experience* 5+ Detailed JD *(Roles and Responsibilities) Given below Mandatory skills* Desired skills* Given below Domain* Approx. vendor billing rate* (INR/Month) Excluding service tax 10000 INR per day Work Location* Bangalore,Chennai, Pune Background check process to be followed: * Before onboarding / After onboarding: * BGV Agency: * Before Onboarding/FADV Mode of Interview: Telephonic/Face to Face/Skype Interview* Skype PFB for Data Governance and Data Analyst profile Total exp b/w 7-12 years, in Data Governance & Data Analysis, Data Profiling, Data Quality, Data Testing, Data management, Data lineage & Data visualization in Finance, Risk and Regulatory Reporting Job responsibilities Defining data lineage from source systems to downstream system Data profiling of the data sets Review and finalize DQ rules Assist in implementation of DQ rules with application teams and validation of results Review of new Data demands from downstream Fix DCRM issues Must to have SQL - expert to advance Strong understanding of data systems Knowledge of big data ecosystem and ETLs Self-starter, ability to work independently and in team with structured approach Excellent analytical & reasoning and communication skills Working experience in BFSI domain Finance, Risk and Regulatory Reporting Preferred Good understanding of different data modelling approaches - hands on preferred Working experience in JSON / other messages preferred Good to have Knowledge of cloud ecosystem Data transmission methods & techniques Understanding of data science domain, analytical and visualization tools, technologies and scripting languages This position requires collaboration with cross time zone and cross functional teams hence the candidate needs to be adaptive to dynamic project requirements It also includes collaboration with seniors product stakeholders

Main Job Duties and Responsibilities Deep knowledge of advance excel & Analytics in transport operations. Excellent communication skills in English, both spoken and in writing. Excellent understanding of Transport Management System/similar platforms and applications in transport domain. Must have handled large teams with excellent man management skills. Good understanding and execution of MIS operations. Well versed with automation tools in transport operations. Hands on knowledge of Digital assistants. Vendor management. Budget monitoring and management. Ready to work in fast paced environment, various shifts, and travel in NCR. Be able to throw new solutions through Data analytics for faster enablement of economic streamlining of the transport operations. Be able to interact with project leads and undertake conflict resolution, presentations, vendor management etc. Education and Experience Qualification : Bachelor s Degree Industry Experience: Employee Logistics, Travels & Transport. Overall Experience: 4 or more years of data management related experience such as Data Analysis, Data Governance. Experience with standard data entry systems, excellent computer skills including proficiency in MS Excel 2010, Word and Outlook, standard analytic and reporting systems with some exposure to programming languages like SQL and tools like Excel etc. Technical Skills : 4 or more years of experience in related industry; employee logistics and transport management preferred. Key Competencies Good technical writing, documentation, and communication skills. Self-motivated, positive attitude and a team player. Strong organizational skills and the ability to deal with large volumes of data. Effectively prioritize and manage time and workload to meet timelines. Working and conceptual knowledge of databases is a plus. Experience in accessing and executing end user reports and dashboards from any reporting tool is a plus. Problem analysis Client service orientation Adaptability Teamwork Presentation skills Computer Knowledge Good knowledge of employee logistics. Innovative approach at work Quick learning ability & Positive thinking

Job Summary: We are seeking a dedicated and detail-oriented Data Integrity (DI) Specialist to join our Quality Assurance and Compliance team. The ideal candidate will be responsible for ensuring that all data generated and maintained across the site meets regulatory, quality, and organizational standards. The DI Specialist will play a critical role in fostering a culture of data integrity by ensuring adherence to ALCOA++ principles and implementing comprehensive data governance practices. To ensure that Data Integrity is being followed across the site. Ensuring all the data are as per ALCOA++ principles. Creating and maintaining documentation on data policies. Ensure compliance with data regulations and security standards. Verifying and ensuring the companys computer system data are safely maintained. Monitoring who accesses sensitive data. Installing protective measures in terms of Data Integrity. Ensuring employees follow Data Integrity assurance standards. Allowing only authorized personnel to access protected information. Ensuring Data Integrity assurance culture across the site. Involving in remediation team to ensure Data Integrity assurance practices are followed by the employees Qualification : MSc Chemistry / B Pharma

Project Role : Responsible AI Tech Lead Project Role Description : Ensure the ethical and responsible use of artificial intelligence (AI) technologies. Design and deploy Responsible AI solutions; align AI projects with ethical principles and regulatory requirements. Provide leadership, fosters cross-functional collaboration, and advocates for ethical AI adoption. Must have skills : Data Modeling Techniques and Methodologies, Amazon Web Services (AWS), Snowflake Data Warehouse, Core Banking Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Responsible AI Tech Lead, you will ensure the ethical and responsible use of artificial intelligence technologies. Your typical day will involve designing and deploying Responsible AI solutions, aligning AI projects with ethical principles and regulatory requirements, and providing leadership to foster cross-functional collaboration. You will advocate for the adoption of ethical AI practices, ensuring that all AI initiatives are conducted with integrity and accountability, while also engaging with various stakeholders to promote a culture of responsible AI usage 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.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate training sessions to enhance team understanding of ethical AI practices.- Monitor and evaluate the impact of AI solutions to ensure compliance with ethical standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies, Core Banking, Amazon Web Services (AWS), Snowflake Data Warehouse.- Strong understanding of data governance frameworks and best practices.- Experience with data integration and ETL processes.- Familiarity with machine learning algorithms and their ethical implications.- Ability to communicate complex technical concepts to non-technical stakeholders. Additional Information:- The candidate should have minimum 12 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP BusinessObjects Data Services Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with teams to develop solutions that align with business needs and requirements. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Expected to provide solutions to problems that apply across multiple teams- Lead the team in implementing innovative solutions- Conduct regular team meetings to ensure alignment and progress- Provide guidance and mentorship to junior team members Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP BusinessObjects Data Services- Strong understanding of data integration and ETL processes- Experience in designing and implementing data migration strategies- Knowledge of data quality management and data governance best practices- Experience in troubleshooting and resolving data integration issues Additional Information:- The candidate should have a minimum of 12 years of experience in SAP BusinessObjects Data Services- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education