1386 Data Governance Jobs - Page 30

Skills Mandatory Skills: Cloud (AWS/GCP or Azure), Database (RDBMS, No-SQL/Mongo), PL/SQL, Python/R programming fundamentals, Apache Spark Preferred Skills: Snowflake, Data Bricks, Kafka, Docker, Kubernetes, Tableau Preference for those with at least introductory certification to AWS or Azure or GCP Experience in configuring Spark cluster Experience bringing prototypes to production on NoSQL platforms Good knowledge of Spark with Python Hands-on experience in the Linux environment with strong coding skills and fundamentals in data structures. This opportunity offers strong exposure to Machine Learning and Deep Learning Qualification: BE/BTech in any stream. BSc/MSc in Math/Stats/IT/BBA. Preferred basic cloud certification (AWS/Azure or GCP). PG Diploma Data Science. Any other branch with proven technology certifications. Experience: 1-3 years of relevant experience. Responsibilities: Develop and maintenance of big data and streaming data architecture and infrastructure Implement ways to improve data reliability and setup data governance Work with teams helping them move existing projects into big data cloud platforms Work with teams to implement solutions on these platforms Working with teams to help troubleshoot problems related to the tools Work with architects and provide inputs and feedback on big data technologies to be used Setup and maintain one of many Cloud data foundation in AWS/GCP/Azure/DataBricks depending on project requirements Handling big-data pipelines

The BI Data Engineer is a key role within the Enterprise Data team. We are looking for expert Azure data engineer with deep Data engineering, ADF Integration and database development experience. This is a unique opportunity to be involved in delivering leading-edge business analytics using the latest and greatest cutting-edge BI tools, such as cloud-based databases, self-service analytics and leading visualisation tools enabling the company s aim to become a fully digital organisation. Job Description: Key Responsibilities: Build Enterprise data engineering and Integration solutions using the latest Azure platform, Azure Data Factory, Azure SQL Database, Azure Synapse and Azure Fabric Development of enterprise ETL and integration routines using ADF Evaluate emerging Data enginnering technologies, standards and capabilities Partner with business stakeholder, product managers, and data scientists to understand business objectives and translate them into technical solutions. Work with DevOps, engineering, and operations teams to implement CI/CD pipelines and ensure smooth deployment of data engiinering solutions Required Skills and Experience Technical Expertise : Expertise in the Azure platform including Azure Data Factory, Azure SQL Database, Azure Synapse and Azure Fabric Exposure to Data bricks and lakehouse arcchitect & technologies Extensive knowledge of data modeling, ETL processes and data warehouse design principles. Experienc in machine learning and AI services in Azure. Professional Experience : 5+ years of experience in database development using SQL 5+ Years integration and data engineering experience 5+ years experience using Azure SQL DB, ADF and Azure Synapse 2 + Years experience using Power BI Comprehensive understanding of data modelling Relevant certifications in data engineering, machine learning, AI. Key Competencies: Expertise in data engineering and database development. Familiarity with the Microsoft Fabric technologies including One Lake, Lakehouse and Data Factory Strong understanding of data governance, compliance, and security frameworks. Proven ability to drive innovation in data strategy and cloud solutions. A deep understanding of business intelligence workflows and the ability to align technical solutions Strong database design skills, including an understanding of both normalised form and dimensional form databases. In-depth knowledge and experience of data-warehousing strategies and techniques e.g., Kimball Data warehousing Experience in Cloud based data integration tools like Azure Data Factory Experience in Azure Dev Ops or JIRA is a plus Experience working with finance data is highly desirable Familiarity with agile development techniques and objectives Location: DGS India - Mumbai - Thane Ashar IT Park Brand: Dentsu Time Type: Full time Contract Type: Permanent

About Us Our leading SaaS-based Global Growth Platform enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we re dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere. Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated. The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work. At G-P, we assist organizations in building exceptional global teams in days, not months streamlining the hiring, onboarding, and management process to unlock growth potential for all. About this Position Job Profile What you will do: Design and develop our best-in-class cloud platform, working on all parts of the G-P ecosystem and building frameworks and services to build the platform. Develop solutions that fit a cloud-managed and serverless-first platform ecosystem Build quick prototypes to refine concepts, then turn them into real production-quality features Advocate and evangelize modern agile methodologies and best practices such as the Well Architected Framework Advocate and evangelize quality and scalability mindset and building software with scale and speed Diagnose and fix issues reported by internal teams and customers Develop and promote a full spectrum of test suites and quality mindset (unit, contract, integration, etc) Support and develop software engineers by providing advice, coaching and educational opportunities What we are looking for: 7+ years of experience in developing highly scalable enterprise level services, platforms or products. Extensive experience in building large scale distributed enterprise applications in geographically distributed teams Deep knowledge of backend stack with knowledge in most or all of the following: Node.js,Java, Python, Redis, Golang Knowledge of and experience choosing between SQL and NoSQL database technologies such as MySQL/PostgreSQL and MongoDB/DynamoDB Knowledge of modern cloud architectures and technologies; experience with AWS is a plus Excellent communication skills and experience documenting and delivering technical concepts to both technical and non-technical audiences Experience in a startup or high-growth environment and ability to hustle is desirable Hands-on experience in any of the following areas a plus: Data modeling, data architecture, and data governance AWS Serverless experience Integrating CRM systems such as Salesforce with internal systems Integrating 3rd party systems with internal and external workflows Business workflow orchestration / choreography patterns We will consider for employment all qualified applicants who meet the inherent requirements for the position. Please note that background checks are required, and this may include criminal record checks. G-P. Global Made Possible. G-P is a proud Equal Opportunity Employer, and we are committed to building and maintaining a diverse, equitable and inclusive culture that celebrates authenticity. We prohibit discrimination and harassment against employees or applicants on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other legally protected status. G-P also is committed to providing reasonable accommodations to individuals with disabilities. If you need an accommodation due to a disability during the interview process, please contact us at careers@g-p.com.

About Us Our leading SaaS-based Global Growth Platform enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we re dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere. Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated. The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work. At G-P, we assist organizations in building exceptional global teams in days, not months streamlining the hiring, onboarding, and management process to unlock growth potential for all. About this Position Job Profile What you will do: Design and develop our best-in-class cloud platform, working on all parts of the G-P ecosystem and building frameworks and services to build the platform. Develop solutions that fit a cloud-managed and serverless-first platform ecosystem Build quick prototypes to refine concepts, then turn them into real production-quality features Advocate and evangelize modern agile methodologies and best practices such as the Well Architected Framework Advocate and evangelize quality and scalability mindset and building software with scale and speed Diagnose and fix issues reported by internal teams and customers Develop and promote a full spectrum of test suites and quality mindset (unit, contract, integration, etc) Support and develop software engineers by providing advice, coaching and educational opportunities What we are looking for: 7+ years of experience in developing highly scalable enterprise level services, platforms or products. Extensive experience in building large scale distributed enterprise applications in geographically distributed teams Deep knowledge of backend stack with knowledge in most or all of the following: Node.js,Java, Python, Redis, Golang Knowledge of and experience choosing between SQL and NoSQL database technologies such as MySQL/PostgreSQL and MongoDB/DynamoDB Knowledge of modern cloud architectures and technologies; experience with AWS is a plus Excellent communication skills and experience documenting and delivering technical concepts to both technical and non-technical audiences Experience in a startup or high-growth environment and ability to hustle is desirable Hands-on experience in any of the following areas a plus: Data modeling, data architecture, and data governance AWS Serverless experience Integrating CRM systems such as Salesforce with internal systems Integrating 3rd party systems with internal and external workflows Business workflow orchestration / choreography patterns We will consider for employment all qualified applicants who meet the inherent requirements for the position. Please note that background checks are required, and this may include criminal record checks. G-P. Global Made Possible. G-P is a proud Equal Opportunity Employer, and we are committed to building and maintaining a diverse, equitable and inclusive culture that celebrates authenticity. We prohibit discrimination and harassment against employees or applicants on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other legally protected status. G-P also is committed to providing reasonable accommodations to individuals with disabilities. If you need an accommodation due to a disability during the interview process, please contact us at careers@g-p.com.

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position Search specialist - Job profile The Search Specialist within the Enterprise Search Platform Team is responsible for maintaining and optimising the platform, powered by Sinequa technology. This role focuses on platform lifecycle and data source indexing to ensure the platform operates efficiently and effectively, and properly supports the use cases. This role requires close collaboration with the Product Owner and Solution Architect to translate business requirements into technical solutions to drive excellence in our search capabilities. Key Responsibilities: Search Implementation: Develop and integrate advanced search functionalities, including indexing, query processing, and relevancy tuning. Work on the design, implementation, and optimization of Sinequa search solutions. Configure, customize, and maintain Sinequas search platform to meet organizational requirements. Implement data ingestion procedures leveraging Sinequa connectors and APIs. Development of Search-Based Applications: Design, develop, and deploy search-based applications that leverage the Sinequa platform. Integrate search functionalities into existing and new applications to enhance user experience and information retrieval. Collaborate with UI/UX designers to create engaging and efficient search interfaces. Implement security best practices to protect sensitive data within search-based applications. Test, debug, and document search-based applications to ensure high-quality deliverables. Optimization and Performance: Monitor and optimize search performance, ensuring low latency and high accuracy of search results. Troubleshoot and resolve issues related to search indexing, relevance, and data retrieval. Conduct regular performance analyses and make necessary adjustments to enhance search efficiency. Collaboration and Communication: Work closely with Product Owners, Solution Architects, and development teams to translate business needs into technical solutions. Collaborate with data and content experts to ensure data quality and search index integrity. Provide clear and effective communication on search-related topics to both technical and non-technical stakeholders. User Experience Enhancement: Design and implement user-friendly search interfaces and experiences. Gather and analyze user feedback to continually improve search functionalities. Ensure the search platform provides intuitive and relevant results to end-users. Data Management: Oversee data taxonomy, metadata, and tagging processes to ensure consistency and accuracy in search results. Implement best practices for data governance and quality management in the context of search. Innovation and Continuous Improvement: Keep up-to-date with the latest trends and best practices in search technologies and apply this knowledge to improve the Sinequa platform. Identify opportunities for leveraging new features and functionalities within the Sinequa platform to enhance organizational search capabilities. Qualifications: Solid understanding of search algorithms, information retrieval, and relevancy tuning. Programming/scripting skills. Familiarity with Java, Angular, Python, .NET or similar. Experience with the Sinequa platform OR similar search solutions (Elasticsearch, Solr, etc.) Strong analytical and problem-solving skills. Experience with data integration tools and techniques. Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Background in natural language processing (NLP) or machine learning as applied to search is a plus. Familiarity with cloud platforms and services, particularly AWS is a plus. Knowledge of data governance and data quality best practices is a plus.

Design and implement data-centric solutions on Google Cloud Platform (GCP) using various GCP tools like Big Query, Google Cloud Storage, Cloud SQL, Memory Store, Dataflow, Dataproc, Artifact Registry, Cloud Build, Cloud Run, Vertex AI, Pub/Sub, GCP APIs. Build ETL pipelines to ingest the data from heterogeneous sources into our system. Develop data processing pipelines using programming languages like Java and Python to extract, transform, and load (ETL) data. Create and maintain data models, ensuring efficient storage, retrieval, and analysis of large datasets. Deploy and manage databases, both SQL and NoSQL, such as Bigtable, Firestore, or Cloud SQL, based on project requirements. Optimize data workflows for performance, reliability, and cost-effectiveness on the GCP infrastructure. Implement version control and CI/CD practices for data engineering workflows to ensure reliable and efficient deployments. Utilize GCP monitoring and logging tools to proactively identify and address performance bottlenecks and system failures. Troubleshoot and resolve issues related to data processing, storage, and retrieval. Promptly address code quality issues using SonarQube, Checkmarx, Fossa, and Cycode throughout the development lifecycle. Implement security measures and data governance policies to ensure the integrity and confidentiality of data. Collaborate with stakeholders to gather and define data requirements, ensuring alignment with business objectives. Develop and maintain documentation for data engineering processes, ensuring knowledge transfer and ease of system maintenance. Participate in on-call rotations to address critical issues and ensure the reliability of data engineering systems. Provide mentorship and guidance to junior team members, fostering a collaborative and knowledge-sharing environment. Gcp, Sql, Design & Architecture, Etl, Pubsub, Bigquery, Etl & Data Engineering, Cicd

The Search Specialist within the Enterprise Search Platform Team is responsible for maintaining and optimising the platform, powered by Sinequa technology. This role focuses on platform lifecycle and data source indexing to ensure the platform operates efficiently and effectively, and properly supports the use cases. This role requires close collaboration with the Product Owner and Solution Architect to translate business requirements into technical solutions to drive excellence in our search capabilities. Key Responsibilities: Search Implementation: Develop and integrate advanced search functionalities, including indexing, query processing, and relevancy tuning. Work on the design, implementation, and optimization of Sinequa search solutions. Configure, customize, and maintain Sinequas search platform to meet organizational requirements. Implement data ingestion procedures leveraging Sinequa connectors and APIs. Development of Search-Based Applications: Design, develop, and deploy search-based applications that leverage the Sinequa platform. Integrate search functionalities into existing and new applications to enhance user experience and information retrieval. Collaborate with UI/UX designers to create engaging and efficient search interfaces. Implement security best practices to protect sensitive data within search-based applications. Test, debug, and document search-based applications to ensure high-quality deliverables. Optimization and Performance: Monitor and optimize search performance, ensuring low latency and high accuracy of search results. Troubleshoot and resolve issues related to search indexing, relevance, and data retrieval. Conduct regular performance analyses and make necessary adjustments to enhance search efficiency. Collaboration and Communication: Work closely with Product Owners, Solution Architects, and development teams to translate business needs into technical solutions. Collaborate with data and content experts to ensure data quality and search index integrity. Provide clear and effective communication on search-related topics to both technical and non-technical stakeholders. User Experience Enhancement: Design and implement user-friendly search interfaces and experiences. Gather and analyze user feedback to continually improve search functionalities. Ensure the search platform provides intuitive and relevant results to end-users. Data Management: Oversee data taxonomy, metadata, and tagging processes to ensure consistency and accuracy in search results. Implement best practices for data governance and quality management in the context of search. Innovation and Continuous Improvement: Keep up-to-date with the latest trends and best practices in search technologies and apply this knowledge to improve the Sinequa platform. Identify opportunities for leveraging new features and functionalities within the Sinequa platform to enhance organizational search capabilities. Qualifications: Solid understanding of search algorithms, information retrieval, and relevancy tuning. Programming/scripting skills. Familiarity with Java, Angular, Python, .NET or similar. Experience with the Sinequa platform OR similar search solutions (Elasticsearch, Solr, etc.) Strong analytical and problem-solving skills. Experience with data integration tools and techniques. Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Background in natural language processing (NLP) or machine learning as applied to search is a plus. Familiarity with cloud platforms and services, particularly AWS is a plus. Knowledge of data governance and data quality best practices is a plus.

Data Management Resource Job Type Fulltime Shift: 2 PM 11 PM Location: Hyderabad/Work from Office No of Positions: 2 Resource 1 : Salesforce expertise ( certified Admin at minimum). Experience with Data governance as a Data Steward. Experience with Data Cleansing efforts as the main POC for KDEs (key data elements). Experience with Data quality efforts including conducting data quality health checks and data quality analysis. Working with business SMEs and IT (for data updates). Strong understanding of data lineage and data dependencies. Experience working with DQ tools like Informatica, Purview would be an added advantage. Resource 2 : Experience with Data governance as a Data Steward. Experience with Data Cleansing efforts as the main POC for KDEs (key data elements). Experience with Data quality efforts including conducting data quality health checks and data quality analysis. Working with business SMEs and IT (for data updates). Strong understanding of data lineage and data dependencies. Experience working with DQ tools like Informatica, Purview would be an added advantage. Apply / Refer to Vertex I want to refer

JD - Data Engineer (4+) Key Responsibilities: Design, build, and maintain scalable data pipelines using Apache Spark on Databricks. Integrate data from various structured and unstructured sources into the data lake/data warehouse. Collaborate with data scientists, analysts, and business stakeholders to understand data requirements. Develop and maintain ETL/ELT jobs using PySpark, SQL, or Scala. Ensure high data quality and data governance across pipelines and platforms. Optimize performance of large-scale data processing jobs. Implement best practices in data engineering, including version control, code reviews, and automation. Work with DevOps/Cloud teams to deploy pipelines in production on cloud platforms (e.g., Azure Databricks, AWS, or GCP). Required Skills: 4 + years of experience as a Data Engineer. Strong expertise in Databricks, Apache Spark, and PySpark. Proficiency in SQL and working with large datasets. Experience in one or more programming languages: Python, Scala, or Java. Knowledge of Delta Lake and data lakehouse architecture. Familiarity with data modeling and data warehousing concepts. Hands-on experience with cloud platforms (Azure, AWS, or GCP). Experience with CI/CD pipelines and version control tools (e.g., Git). Preferred/Bonus Skills: Experience with Azure Data Factory, AWS Glue, or other ETL tools. Knowledge of streaming data technologies (Kafka, Spark Streaming). Understanding of data governance, privacy, and compliance (e.g., GDPR, HIPAA). Familiarity with ML model pipelines and MLflow in Databricks is a plus. Data Engineer - Aws Azure Cloud

About Analog Devices Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures todays innovators stay Ahead of Whats Possible . Learn more at www.analog.com and on LinkedIn and Twitter (X) . Associate Analyst, Supply Chain The Supply Chain team has an opening for a Supply Chain Analyst/Intern at our Gandhinagar office, India. This position reports to the Manager of Supply Chain. This role will be responsible for analyzing day to day supply chain issues and strategizing permanent improvement. This role will work closely with Supply chain analytics and system teams and will help drive continuous system improvement projects. The successful candidate must have good understanding of key supply chain functions, and hands on experience in analyzing complex issues & must possess an understanding of supply chain operations. Roles and Responsibilities Analyze supply chain key performance indicators and device actionable plans to resolve ongoing issues and identify permanent resolution steps Troubleshoot complex planning issues and propose effective solutions. Develop new supply chain functionalities and business processes to achieve organizational goals Improve data analytics, identify ways of data governance, and automate tasks to support wider analytics group Support users on day-to-day questions and system issues. Monitor and maintain system processes and documentation of support processes and procedures.

An Opportunity to Work with One of India's Leading Credit Card Tech Innovators BOBCARD (A Bank of Baroda Subsidiary) Education: BE/B.Tech, BCA/MCA, BSc/MSc in Computer Science, IT, or related field. Experience: 1017 years Location: Goregaon, Mumbai (5 days' from Office) **Domain: Fintech/BFSI/NBFC (mandate) The AVP - Data Management (IT) will be responsible for leading the organizations data strategy, ensuring data integrity, governance, and analytics to drive informed business decisions. This role requires a deep understanding of data management best practices, analytical tools, and the ability to work cross-functionally to enhance business performance through data-driven insights. Key Responsibilities: Strategic Data Leadership: Develop and implement a comprehensive data strategy that aligns with organizational objectives. Drive data-driven decision-making by integrating analytics into business processes. Data Governance & Compliance: Establish and enforce data governance policies to ensure data accuracy, integrity, and security. Ensure compliance with regulatory requirements and industry best practices. Analytics & Business Intelligence: Design and deploy analytical solutions to enhance operational efficiency and uncover new business opportunities. Develop and maintain dashboards, reports, and predictive models to support key business functions. Collaboration & Stakeholder Engagement: Work closely with business leaders to understand their data needs and provide actionable insights. Partner with IT teams to optimize data infrastructure and implement advanced analytics capabilities. Technology Evaluation & Innovation: Stay updated with emerging data analytics trends and recommend tools and technologies to enhance capabilities. Evaluate and implement modern data management platforms to improve efficiency and scalability. Performance Measurement & Reporting: Define and track key performance indicators (KPIs) to assess the success of data initiatives. Present analytical findings to executive leadership, showcasing the impact of data-driven strategies. Budget & Resource Management: Oversee budget allocation for data management initiatives, ensuring optimal resource utilization. Identify cost-effective solutions to enhance data capabilities within the organization. Desired Candidate Profile: Proven experience in developing and executing data analytics strategies that drive business value. Strong knowledge of data analytics tools and technologies (e.g., Tableau, Power BI, SQL, Python, R) and data management platforms (e.g., Hadoop, Snowflake). Experience with data governance frameworks, compliance regulations, and industry best practices. Excellent analytical and problem-solving skills with the ability to interpret complex datasets and derive actionable insights. Strong communication and interpersonal skills, capable of engaging with both technical and non-technical stakeholders. Demonstrated ability to lead cross-functional teams and drive collaboration between IT and business units.

eClerx is hiring a Product Data Management Analyst who will work within our Product Data Management team to help our customers enhance online product data quality for Electrical, Mechanical & Electronics products. It will also involve creating technical specifications and product descriptions for online presentation. The candidate will also be working on consultancy projects on redesigning e-commerce customers website taxonomy and navigation. The ideal candidate must possess strong communication skills, with an ability to listen and comprehend information and share it with all the key stakeholders, highlighting opportunities for improvement and concerns, if any. He/she must be able to work collaboratively with teams to execute tasks within defined timeframes while maintaining high-quality standards and superior service levels. The ability to take proactive actions and willingness to take up responsibility beyond the assigned work area is a plus. Apprentice_Analyst Roles and responsibilities: Data enrichment/gap fill, standardization, normalization, and categorization of online and offline product data via research through different sources like internet, specific websites, database, etc. Data quality check and correction Data profiling and reporting (basic) Email communication with the client on request acknowledgment, project status and response on queries Help customers in enhancing their product data quality (electrical, mechanical, electronics) from the technical specification and description perspective Provide technical consulting to the customer category managers around the industry best practices of product data enhancement Technical and Functional Skills: Bachelors Degree in Engineering from Electrical, Mechanical OR Electronics stream Excellent technical knowledge of engineering products (Pumps, motors, HVAC, Plumbing, etc.) and technical specifications Intermediate knowledge of MS Office/Internet.

About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Tech Overview: Every time a guest enters a Target store or browses Target.com , they experience the impact of Target s investments in technology and innovation. We re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 4,000 of engineers, data scientists, architects, coaches and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests and we do so with a focus on diversity and inclusion, experimentation and continuous learning. Pyramid Overview: We create technology solutions for Target at an enterprise scale, unlocking value for our team members, guests, and suppliers. Team Members rely on us to manage $108B+ in revenue, care for our team of 450k+ (pay and benefits), enable 3M+ candidates applying to Target, access to every Target facility, and resolve challenges through our service centers. Guests rely on us every day to quickly and efficiently help them with inquiries such as credit card statements, finding a product, price match, returns, and much more. We ensure guests can leverage their Circle Card to get exclusive benefits. Guests and B2B clients also rely on us to buy gift cards for that special occasion. Suppliers rely on us to assist with financial management, sourcing and procurement processes, compliance and risk assessment processes, coordinating visits for field engineers, providing support for Target+ and Roundel Partners, as well as supporting revenue growth to accelerate vendor acquisition and onboarding for partners. About you: 4 year degree or equivalent experience 3+ years of software development experience with at least one full cycle implementation Design and develop SAP BOBJ reports and Dashboards using Web Intelligence (WebI) Design and develop reports using SAC (SAP Analytics Cloud), Analysis for Office. Develop and maintain SAP HANA Calculation Views using best practices for performance and data modeling. Apply best practices in HANA modeling, including usage of input parameters, variables, and calculated columns. Monitor and optimize HANA performance, including indexing, partitioning, and use of proper join types. Support ETL/ELT processes and ensure data accuracy and consistency in models. Analyze complex business requirements and translate them into robust data models and reporting solutions. Optimize data flows and troubleshoot performance issues in SAP HANA and BOBJ environments. Document data models, ETL processes, and reporting solutions. Support UAT and production deployment, along with post-go-live support and issue resolution. Configure and maintain SLT replication jobs between SAP systems Monitor and optimize SLT performance to ensure efficient data replication. Troubleshoot SLT-related issues and provide support to end-users. Integrate data from multiple sources including SAP ECC/S4, SLT, BW, and external systems Collaborate with business stakeholders and BI teams to ensure alignment with organizational goals and data governance. Know More About Us Here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about Target in India At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. About the Role As a Senior RBX Data Specialist at Target in India, involves the end-to-end management of data, encompassing building and maintaining pipelines through ETL/ELT and data modeling, ensuring data accuracy and system performance, and resolving data flow issues. It also requires analyzing data to generate insights, creating visualizations for stakeholders, automating processes for efficiency, and effective collaboration across both business and technical teams. You will also answer ad-hoc questions from your business users by conducting quick analysis on relevant data, identify trends and correlations, and form hypotheses to explain the observations. Some of this will lead to bigger projects of increased complexity, where you will have to work as a part of a bigger team, but also independently execute specific tasks. Finally, you are expected to always adhere to project schedule and technical rigor as well as requirements for documentation, code versioning, etc Key Responsibilities Data Pipeline and MaintenanceMonitor data pipelines and warehousing systems to ensure optimal health and performance. Ensure data integrity and accuracy throughout the data lifecycle. Incident Management and ResolutionDrive the resolution of data incidents and document their causes and fixes, collaborating with teams to prevent recurrence. Automation and Process ImprovementIdentify and implement automation opportunities and Data Ops best practices to enhance the efficiency, reliability, and scalability of data processes. Collaboration and CommunicationWork closely with data teams and stakeholders, to understand data pipeline architecture and dependencies, ensuring timely and accurate data delivery while effectively communicating data issues and participating in relevant discussions. Data Quality and GovernanceImplement and enforce data quality standards, monitor metrics for improvement, and support data governance by ensuring policy compliance. Documentation and ReportingCreate and maintain clear and concise documentation of data pipelines, processes, and troubleshooting steps. Develop and generate reports on data operations performance and key metrics. Core responsibilities are described within this job description. Job duties may change at any time due to business needs. About You B.Tech / B.E. or equivalent (completed) degree 5+ years of relevant work experience Experience in Marketing/Customer/Loyalty/Retail analytics is preferable Exposure to A/B testing Familiarity with big data technologies, data languages and visualization tools Exposure to languages such as Python and R for data analysis and modelling Proficiency in SQL for data extraction, manipulation, and analysis, with experience in big data query frameworks such as Hive, Presto, SQL, or BigQuery Solid foundation knowledge in mathematics, statistics, and predictive modelling techniques, including Linear Regression, Logistic Regression, time-series models, and classification techniques. Ability to simplify complex technical and analytical methodologies for easier comprehension for broad audiences. Ability to identify process and tool improvements and implement change Excellent written and verbal English communication skills for Global working Motivation to initiate, build and maintain global partnerships Ability to function in group and/or individual settings. Willing and able to work from our office location (Bangalore HQ) as required by business needs and brand initiatives Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

About us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here . The Item Center of Excellence has elevated the importance of Item Excellence as it has direct impact on Target s digital guest experience, operating expenses, and gross margin. As an Item Data Steward, you will be responsible for working across the enterprise to establish partnerships, best practices, and processes focused on driving digital growth and a strong guest experience. This will include, but not be limited to, stewarding overall item quality, managing data sources, resolving item issues, and documenting best practices and definitions for overall item excellence. As a Sr. Item Data Steward, you will take the lead as you: Manage cross-functional efforts focused on driving item data consistency, accessibility, reliability and discoverability. Develop processes to evaluate and govern overall item data quality to meet business needs across the Enterprise. Develop project plans for driving key objectives and priorities in support of the Item Center of Excellence strategy. Analyze item attribute usage by category and guest significance to understand the impact and importance of each item attribute within the business. Collaborate with internal teams to drive continuous improvement to operational and item excellence routines. Identify and lead key item accuracy, completeness, consistency, and uniqueness strategies (IQI) within the Item COE and across the enterprise. Work closely with the item certification team to implement processes to identify item discrepancies causing significant guest, compliance, or operational issues. Collaborate with product teams to inform and share item excellence data and best practices in support of key initiatives. Consult with taxonomy team to provide clarity on item structure with identified issues. Champion the development and implementation of product data and hierarchy standards within and across categories. Influence the coverage and breadth of item quality business processes in partnership with data quality analysts. Display strong cross-functional leadership as you build strong working relationships with Item Process, Item Taxonomy, Item Content, and Item Data Quality across all levels including leadership. Provide timely communication of item excellence performance to all levels of leadership within Item COE. Team and Partner Management: Reports to Director, Enterprise Item. No direct team member reports. Partners with multiple Item COE teams including Item Setup, Item Process, Data Quality, Taxonomy, Item Product, Item Data Acquisition, and Item Certification as required. Will be responsible for building and maintaining strong external partnerships (where applicable)product, Target+, AP, Legal and Compliance, site merchandising, merchandising Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About you College degree or equivalent work experience Experience in project management, partnership management, program management, and/or data stewardship High level of analytical aptitude with experience measuring and tracking key metrics for continual improvement Strong verbal and written communication skills Strong organizational and prioritization skills with the ability to manage multiple projects concurrently in a fast-paced environment. Ability to train new concepts, processes, requirements, and expectations A partner-centric mindset; motivated by collaboration and cross-functional work PC experience (Excel, Word, PowerPoint)

Technology Governance is as integral a part of the Technology team as are the Business facing, Infrastructure and the Development teams. Technology Governance is responsible for driving the compliance to the various internal processes and policies within the Technology team to ensure compliance and effective governance for the smooth execution of the Technology team. As a manager in Technology Governance team, the main role will be to establish and track against Data governance related activities. Support the implementation and maintenance of data governance policies, procedures, and standards specific to the banking industry. Hands-on experience in creating and maintaining activities associated with data life cycle management and various data governance activities. Develop, update, and maintain the data dictionary for critical banking data assets, ensuring accurate definitions, attributes, and classifications. Interfacing Work with business units and IT teams to standardize terminology across systems for consistency and clarity. Document end-to-end data lineage for key banking data processes (e.g., customer data, transaction data, risk management data). Create and maintain documentation of metadata, data dictionaries, and lineage for ongoing governance processes. Experience on reports and dashboards preparation for data quality scores, and lineage status. Technical Skills. Experience in Data governance related activities like (preparation on data dictionary and data lineage documents). Proficient in writing database queries. anyone of the database like (SQL, Oracle, MySQL, Postgres) Experience in data life cycle management Understanding of data privacy and security frameworks specific to banking, such as PCI DSS, DPDP act.

Job Information Job Opening ID ZR_1843_JOB Date Opened 05/04/2023 Industry Technology Job Type Work Experience 3-5 years Job Title Collibra Data Governance SME City Mumbai Province Maharashtra Country India Postal Code 400708 Number of Positions 2 3+ years of hands-on experience on Collibra tool. Knowledge of Collibra DGC version 5.7 and onward Experience on Spring boot development Experience on Groovy and Flow able for BPMN workflow Development. Experience in both Business And Technical Metadata Experience on platform activity like job server setup and upgrade " Working as SME in data governance, metadata management and data catalog solutions, specifically on Collibra Data Governance. Client interface and consulting skills required Experience in Data Governance of wide variety of data types (structured, semi-structured and unstructured data) and wide variety of data sources (HDFS, S3, Kafka, Cassandra, Hive, HBase, Elastic Search) Partner with Data Stewards for requirements, integrations and processes, participate in meetings and working sessions Partner with Data Management and integration leads to improve Data Management technologies and processes. Working experience of Collibra operating model, workflow BPMN development, and how to integrate various applications or systems with Collibra Experience in setting up peoples roles, responsibilities and controls, data ownership, workflows and common processes Integrate Collibra with other enterprise toolsData Quality Tool, Data Catalog Tool, Master Data Management Solutions Develop and configure all Collibra customized workflows 10. Develop API (REST, SOAP) to expose the metadata functionalities to the end-users Location :Pan India check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_1760_JOB Date Opened 21/03/2023 Industry Technology Job Type Work Experience 4-6 years Job Title Collibra Data Governance SME City Mumbai Province Maharashtra Country India Postal Code 400708 Number of Positions 1 Working as SME in data governance, metadata management and data catalog solutions, specifically on Collibra Data Governance. Client interface and consulting skills required Experience in Data Governance of wide variety of data types (structured, semi-structured and unstructured data) and wide variety of data sources (HDFS, S3, Kafka, Cassandra, Hive, HBase, Elastic Search) Partner with Data Stewards for requirements, integrations and processes, participate in meetings and working sessions Partner with Data Management and integration leads to improve Data Management technologies and processes. Working experience of Collibra operating model, workflow BPMN development, and how to integrate various applications or systems with Collibra Experience in setting up peoples roles, responsibilities and controls, data ownership, workflows and common processes Integrate Collibra with other enterprise toolsData Quality Tool, Data Catalog Tool, Master Data Management Solutions Develop and configure all Collibra customized workflows 10. Develop API (REST, SOAP) to expose the metadata functionalities to the end-users Location :Pan India check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_2470_JOB Date Opened 03/05/2025 Industry IT Services Job Type Work Experience 6-10 years Job Title Sr. Data Engineer City Bangalore South Province Karnataka Country India Postal Code 560050 Number of Positions 1 Were looking for an experienced Senior Data Engineer to lead the design and development of scalable data solutions at our company. The ideal candidate will have extensive hands-on experience in data warehousing, ETL/ELT architecture, and cloud platforms like AWS, Azure, or GCP. You will work closely with both technical and business teams, mentoring engineers while driving data quality, security, and performance optimization. Responsibilities: Lead the design of data warehouses, lakes, and ETL workflows. Collaborate with teams to gather requirements and build scalable solutions. Ensure data governance, security, and optimal performance of systems. Mentor junior engineers and drive end-to-end project delivery.: 6+ years of experience in data engineering, including at least 2 full-cycle datawarehouse projects. Strong skills in SQL, ETL tools (e.g., Pentaho, dbt), and cloud platforms. Expertise in big data tools (e.g., Apache Spark, Kafka). Excellent communication skills and leadership abilities.PreferredExperience with workflow orchestration tools (e.g., Airflow), real-time data,and DataOps practices. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_2462_JOB Date Opened 03/05/2025 Industry Other Job Type Work Experience 5-8 years Job Title Data Analyst -QA City Chennai Province Tamilnadu Country India Postal Code 60000 Number of Positions 3 Required Experience Proven, 3+ years experience managing quality in B2B data Good critical thinking skill and solution identification skill Able to dive deep and identify the root cause of the issues and get them fixed Demonstrates strong attention to detail, problem solving skills and good investigative mindset Strong regard for quality assurance according to company standard Good critical thinking skill and solution identification skill Excellent oral and written skillsDesired Experience 5+ years of experience in United States B2B data compilation Good understating of quality standards and best practices followed in the industry Should be a good team player with effective collaboration skills Demonstrate strong record of delivering as per SLAs/Timelines Thorough familiarity with US business data, in particular contact data (name, title, email etc.) check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

About Gartner IT: Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. About the Role: This role will be responsible for the management of our global data stewardship team. The Data Stewardship team is tasked to establish and follow best practice data strategies and governance frameworks to ensure our enterprise customer data is accurate, complete, secure and reliable. In this leadership role you will need a passion for data quality, an eye for process improvement and the desire for continued develop of a high-performing team of data stewards. What you'll do: Lead team of 3-6 associates responsible to monitor and process enterprise data processes adhering to corporate data quality standards and policies Drive requirements to automate solutions to support data processes that require manual intervention ensuring consistency and quality Establish and maintain curated process documentation and operational metrics to foster transparency and reporting across all stewardship activities Establish and maintain strong partnerships with key data stakeholders across various business units, with a lens on identifying and addressing data challenges impacting critical business processes Lead through example by driving continuous improvement, promoting operational excellence, standardizing processes and fostering a no-limits mindset What you'll need: 5-7 years of experience in a data management function 1+ years with team leadership experience Experience using variety of data extraction, querying, profiling tools Knowledge of Master Data Management desired Experience correlating performance results for leadership level review Strong desire to always improve upon their/their teams skills Attention to detail Demonstrated ability to work independently and with little direction Ability to work effectively on multiple projects at the same time Bachelors degree preferred Excellent verbal and written English Who you are: Effective time management skills and ability to meet deadlines Excellent communications skills interacting with technical and business audiences Excellent organization, multitasking, and prioritization skills Must possess a willingness and aptitude to embrace new technologies/ideas and master concepts rapidly. Intellectual curiosity, passion for technology and keeping up with new trends Delivering project work on-time within budget with high quality

Candidate with 5–8 years of overall experience in software engineering, including 2-4 years of focused expertise in Data Governance practices such as data cataloguing, data lineage, data quality, data purging, data reliability, data accessibility. Required Candidate profile Strong experience with data governance tools (Ab Initio, Informatica, Atlan, Collibra, Snowflake,Databricks) Hands-on knowledge of data cataloguing, data lineage, data quality, and data access control Perks and benefits To be disclosed post interview

Company: KPI Partners Location: Bangalore, Karnataka, India; Hyderabad, Telangana, India; Pune, Maharashtra, India Experience: 9 to 16 years Job Description: KPI Partners, a leader in providing analytics and data management solutions, is seeking a highly skilled **Senior Data Architect** to join our dynamic team. This position offers an exciting opportunity to work on innovative data solutions that drive business value for our clients. You will be responsible for designing, developing, and implementing data architectures that align with our organizational goals and client requirements. Key Responsibilities: - Lead the design and implementation of data architecture solutions, ensuring alignment with best practices and compliance standards. - Develop comprehensive data models to support different business applications and analytical needs. - Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. - Oversee the integration of SAP and other data sources into the Datasphere platform. - Create strategies for data governance, quality assurance, and data lifecycle management. - Ensure scalability and performance of data systems through efficient architecture practices. - Mentor and guide junior data professionals in data architecture and modeling best practices. - Stay updated with industry trends and emerging technologies in data architecture and analytics. Required Skills: - 9 to 12 years of experience in data architecture, data modeling, and data management. - Strong expertise in SAP systems and data integration processes. - Proficient in DataSphere or similar data management platforms. - Solid understanding of data governance, data warehousing, and big data technologies. - Excellent analytical and problem-solving abilities. - Strong communication skills to engage with technical and non-technical stakeholders. - Ability to work independently and as part of a team in a fast-paced environment. Preferred Qualifications: - Bachelor’s or master’s degree in computer science, Information Systems, or a related field. - Relevant certifications in data architecture or SAP technologies. - Experience in cloud data solutions and platform migrations is a plus. What We Offer: - Competitive salary and benefits package. - Opportunities for professional growth and development. - A collaborative work environment fostering innovation and creativity. - The chance to work with cutting-edge technology and notable clients.

The Programme, within Group Chief Data Office aims to uplift existing processes and controls and to improve the data risk posture of the bank. This role will involve working with the various Business and Functions teams, with 2nd line Compliance colleagues and technology to design, implement & operationalise capabilities for robust, streamlined and customer centric Data risk management. The successful candidate will work in the Data Sovereignty stream of the Mercury Programme. Candidates must have demonstrated experience in Data Sovereignty and / or Data Privacy risk management space, in particular hands-on experience in operationalising the processes to mitigate the risk. Key Responsibilities Identification of scenarios that potentially have data sovereignty risk implications thereby requiring to Collaborate with and assist Business and Functions to develop strategic plans for data sovereignty risk management ensuring consistency where relevant Drive awareness about the importance of data sovereignty risk management through education, training and an awareness program Work with Business & Functions and Regions & Countries to plan for the handling of data sovereignty requirements Gather data and documents to analyse and visualise challenges and drive for pragmatic solutions Work with second line risk owner to review, enhance and operationalise the data sovereignty standard Assist in developing and implementing efficient, repeatable and compliant processes for data sovereignty risk management across business units driving for consistency across the group Develop a governance framework and control designs to ensure business units, technology teams and third parties (service providers) follow the data management policy and data sovereignty standard Drive data sovereignty risk mitigation activities Provide consultation and hands-on training on data sovereignty risk management and practices. Maintain awareness of developments, innovations, industry best practices, and changes to regulations in the discipline of data sovereignty Develop metrics / dashboards to track the health of data sovereignty risk within the group to provide management insights Skills and Experience Experience in domains Data Management, Data Protection, Data Privacy, Cyber Security, Data & Privacy Design Excellent understanding of data management and privacy management practices and ability to operationalise requirements into a pragmatic suite of processes and controls. A good understanding of global data protection laws and practices preferred. Experience in designing and implementing data privacy or sovereignty process and solutions. Excellent analytical skills, with strong attention to details and good problem-solving skills Ability to work effectively on cross functional, large-scale initiatives in a multicultural environment. Strong interpersonal and communication skills Qualifications Bachelor s degree or higher qualification with extensive experience in data governance (i. e. privacy and/or data sovereignty risk management) About Standard Chartered Were an international bank, nimble enough to act, big enough for impact. For more than 170 years, weve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If youre looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we cant wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, youll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. www. sc. com/careers 26095

Looking for a skilled Data Governance Consultant to support commercial, retail, and treasury units. Will capture business data needs and implement them real-time within the organization’s data framework. Required Candidate profile Data governance expert with business-facing experience in retail, commercial & treasury. Skilled in data stewardship, real-time implementation, and aligning with enterprise data frameworks.