2443 Data Quality Jobs - Page 44

Assists clients in the selection, implementation, and support of the SAP MDG Participate in SAP MDG implementations and develop master data maintenance solutions using the latest technology and tools Design and lead the overall strategic and tactical data migration initiatives, data cleansing initiatives and data profiling initiatives as well as data warehouse design, modeling and implementation for our customers. Experience in implementation planning, fit analysis, configuration, testing, rollout and post-implementation support. Good knowledge and experience within the Data Management Tools and a thorough understanding of SAP integration points Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum 12 years of Industry experience Technical Knowledge and Experience in working with SAP Data Management Tools like Data Services, Cockpit, MDG, HANA EIM. Hands on MDG configuration experience, configuration related to customer and core STE processes Experience in IM Architecture, Data Migrations, Data Profiling and Data quality. Implementation experience of MDG in key domains such as Finance, Customer, Supplier, Material & Business Partners Experience in implementation, development or configuration on one or more of the following solutions from Data Management Suite-SAP Data Services / SAP MDG / Migration Cockpit / HANA EIM SDI. Experience to write scripts and complex SQL statements Preferred technical and professional experience Experience in Data Migration methodologies, specifically around legacy to SAP migration using solutions like Data Services will be nice to have. Implementation experience and knowledge in at least two of these areas would be an added advantage Master Data Management

A Data Governance Specialist will be responsible for several technical tasks, including developing and maintaining Collibra workflows, creating and maintaining integrations between data systems, data catalogs, and data quality tools. Additionally, other tasks related to managing metadata, master data, and business glossary will be required. Key Responsibilities: Develop and maintain Collibra workflows to support data governance initiatives. Create and maintain integrations between data systems and data governance tools. Write and maintain data quality rules to measure data quality. Work with vendors to troubleshoot and resolve technical issues related to workflows and integrations. Work with other teams to ensure adherence to DG policies and standards. Assist in implementing data governance initiatives around data quality, master data, and metadata management. Qualifications: Strong programming skills. Knowledge of system integration and use of middleware solutions. Proficiency in SQL and relational databases. Understanding of data governance, including data quality, master data, and metadata management. Willingness to learn new tools and skills. Preferred Qualifications: Proficient with Java or Groovy. Proficient with Mulesoft or other middleware. Proficient with Collibra DIP, Collibra Data Quality, and DQLabs. Experience with AWS Redshift, and Databricks.

Job Description: QA DBT Engineer Job Location: Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai Minimum of 8 years experience as a software tester with proven experience in defining and leading QA cycles Strong experience with DBT (Data Build Tool) and writing/validating SQL models. Hands-on experience with Collibra for metadata management and data governance validation. Solid understanding of data warehousing concepts and ETL/ELT processes. Proficiency in SQL for data validation and transformation testing. Familiarity with version control tools like Git. Understanding of data governance, metadata, and data quality principles. Strong analytical and problem-solving skills with attention to detail. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

Job Description: Senior DBT Engineer Job Location : Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai Responsibilities: - Experience Level - 4 -12 years. - Design, develop, and maintain DBT models, transformations, and SQL code to build efficient data pipelines for analytics and reporting. - Design, develop, and maintain ETL/ELT pipelines using DBT and pulling data from Snowflake. - Define and implement data modelling best practices, including data warehousing, ETL processes, and data transformations using DBT. - Build complex SQL queries within DBT to build incremental models, enhancing data processing efficiency. - Establish data governance practices and ensure data accuracy, quality, and consistency within the data transformation process. - Collaborate with data engineers, data analysts, and other stakeholders to understand and meet data requirements for various business units. - Identify and address performance bottlenecks in data transformation processes and optimize DBT models for faster query performance. - Maintain thorough documentation of DBT models, transformations, and data dictionaries to ensure transparency and accessibility to team members. - Implement data security measures to protect sensitive information and comply with data privacy regulations. - Stay updated on industry best practices and new features in DBT, and continuously improve the data transformation processes. - Provide training and support to other team members in using DBT effectively. - Implement data quality checks and validation processes to ensure data accuracy and consistency. - Hands-on experience in implementing data governance, data quality rules and validation mechanisms within Collibra is added plus. - Knowledge of workflow orchestration tools like Tidal. - Experience with Python or other scripting languages is a plus. - Familiarity with Azure cloud platforms. - Exposure to DevOps practices and CI/CD pipelines for data engineering. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

Job Description: Collibra Data Governance Specialist Job Location: Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai Required Skills 5 - 15 years of experience in data governance and/or metadata management. Hands-on experience with Collibra Data Governance Center (Collibra DGC), including workflow configuration, cataloging, and operating model customization . Strong knowledge of metadata management, data lineage, and data quality principles . Hands-on experience with Snowflake Familiarity with data integration tools and AWS cloud platform Experience with SQL and working knowledge of relational databases. Understanding of data privacy regulations (e. g. , GDPR, CCPA) and compliance frameworks. Preferred Skills Certifications such as Collibra Certified Solution Architect . Experience integrating Collibra with tools like Snowflake, Tableau or other BI/analytics platforms. Exposure to DataOps, MDM (Master Data Management) , and data governance frameworks like DAMA-DMBOK. Strong communication and stakeholder management skills. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

Data Modeling Design: Design and maintain conceptual, logical, and physical data models to support transactional, analytical, and data warehousing systems. Develop data models to ensure data consistency, integrity, and quality across multiple banking functions and applications. Define and implement the best practices for data modeling, data integration, and metadata management. Data Architecture Collaboration: Collaborate with data architects to align models with enterprise data architecture and ensure optimal performance and scalability. Work with database administrators to translate logical models into physical database structures and optimize them for performance. Data Quality Governance: Establish data standards, definitions, and quality rules to ensure data accuracy, consistency, and compliance. Create and maintain data dictionaries and metadata repositories to support data governance and facilitate efficient data access. Stakeholder Engagement: Engage with business stakeholders, data scientists, and IT teams to understand data requirements and translate business needs into robust data models. Ensure data models support key business initiatives, such as regulatory reporting, analytics, and operational efficiency. Documentation Best Practices: Develop and maintain detailed documentation, including data models, entity-relationship diagrams, and mapping specifications. Implement data modeling standards and mentor team members to promote best practices in data management. Requirements: Educational Qualification: MBA / Engineering degree with relevant industry experience. Experience: Minimum of 10 years of experience in data modeling or as a data modeler within the banking industry. Proven expertise in designing data models across at least three of the following areas: Data Warehousing Analytics BI Data Mining Data Quality Metadata Management Technical Skills: Proficiency in data modeling tools such as Erwin, IBM InfoSphere, or SAP PowerDesigner. Strong SQL skills and experience in relational database systems like Oracle, SQL Server, or DB2. Familiarity with big data technologies and NoSQL databases is a plus. Knowledge of ETL processes and tools (e. g. , Informatica, Talend) and experience working with BI tools (e. g. , Tableau, Power BI). Knowledge of SAS for analytics, data manipulation, and data management is a plus. Strong understanding of data governance frameworks, data quality management, and regulatory compliance. Soft Skills: Strong analytical and problem-solving skills, with attention to detail and accuracy. Excellent communication and interpersonal skills, with the ability to translate technical data concepts for business stakeholders. Proven ability to work collaboratively in a cross-functional environment and manage multiple projects.

Some careers have more impact than others. If you re looking for a career where you can make a real impression, join HSBC and discover how valued you ll be. 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 a Consultant Specialist / Data Analyst Principal responsibilities Collaborate with the Product Owner to manage and prioritize analytics-related backlog items, ensuring readiness and alignment with business goals. Refine and groom analytics stories, focusing on data pipelines, dashboards, and model requirements. Identify and raise RAAID items related to data quality, integration, and analytics deliverables. Update stakeholders on progress against milestones, emphasizing analytics metrics and deliverables. Facilitate Agile ceremonies with a focus on analytics tasks, ensuring alignment on data dependencies and blockers. Work with cross-functional teams to resolve impediments related to data access, tooling, or infrastructure. Monitor analytics deliverables to ensure high-quality outputs and adherence to best practices. Contribute to testing strategies, including automation for data pipelines and validation of analytics outputs. Ensure technical solutions for analytics (e. g. , models, visualizations) are reviewed and approved. Produce JIRA-based reports on analytics tasks, identifying trends and opportunities for improvement. Share analytics best practices and promote continuous improvement within the team and across IT Surveillance. Support the adoption of scalable and efficient analytics tools and frameworks. Requirements Requirements: Bachelor of engineering or equivalent. Must have: 6-12 years of relevant experience. Strong markets knowledge across a range of products: FX, Equities, Equity Derivatives, Fixed Income, Futures, Swaps, Energy, Metals, with the ability to analyze and interpret market data to support business decisions. Excellent Front to Back (full) Trade Lifecycle knowledge, including the ability to track and analyze trade data for reporting and insights. Practical experience in functional analysis and design, utilizing methodologies like Use Cases and Business Process Modelling, with a focus on analyzing data flows and system interactions in both Waterfall and Agile environments. Proficient in requirements elicitation, functional design, and problem-solving, with a structured approach to analyzing data requirements and ensuring data accuracy. Ability to translate business and data requirements into clear, actionable specifications for developers, ensuring alignment with analytics objectives. Expertise in Agile engineering practices (e. g. , Scrum, Kanban, LEAN), with experience in managing analytics tasks and deliverables within Agile frameworks. Hands-on experience with JIRA and Confluence for managing requirements, tracking analytics tasks, and documenting data workflows. Good knowledge of XML for mapping, linking, and transforming data across systems, ensuring data consistency and integrity. Accountability for delivery, taking ownership of analytics tasks and ensuring timely resolution with minimal supervision. Strong communication and interpersonal skills to collaborate with global stakeholders, present data-driven insights, and manage relationships effectively. Ability to analyze, visualize, and interpret data to support decision-making, leveraging analytics tools and techniques for data analysis and reporting. Good to have: Have a postgraduate degree in Finance / CFA / FRM Experience in trade surveillance, regulatory reporting and market abuse Disciplined Agile and SAFE framework experience Experienced in working with resources in geographically dispersed teams, appreciating and respecting local cultures Front Office IT experience An appreciation and experience of working on projects that are driven by Regulatory Mandate, and be able to articulate the challenges that such projects often encounter, and the ways in which they ve been able to achieve success in such areas Basic knowledge of Unix, SQL (or any database), Flat file based manual testing HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc. , We consider all applications based on merit and suitability to the role. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

You are a strategic thinker passionate about driving solutions in valuation control. You have found the right team. As an Associate in our Valuation Control Group (VCG) team, you will spend each day defining, refining, and delivering set goals for our firm. Your primary responsibility will be to work on the automation and redesign of existing implementations using tools such as Python, Alteryx, Excel VBA, and BI tools like Tableau. The VCG is organized along business lines including Corporate Investment Bank (Macro Products, Credit, Equities, Securitized Products, IB Risk), CIO, Treasury Corporate (CTC), Asset Management, Consumer Community Banking (CCB), and Commercial Banking (CB). You will collaborate closely with senior management, business heads, regulators, internal and external audit, as well as Traders, CFOs, Market Risk, and Middle Office to ensure a complete understanding of business issues and the accurate execution of valuation policy. Job responsibilities Automate Excel tasks by developing Python scripts with openpyxl, pandas, and xlrd, focusing on data extraction, transformation, and generating reports with charts and pivot tables. Design and deploy interactive web applications using Streamlit, enabling real-time data interaction and integrating advanced analytics. Use Matplotlib and Seaborn to create charts and graphs, adding interactive features for dynamic data exploration tailored to specific business needs. Design intuitive user interfaces with PyQt or Flask, integrating data visualizations and ensuring secure access through authentication mechanisms. Perform data manipulation and exploratory analysis using Pandas and NumPy, and develop data pipelines to maintain data quality and support analytics. Write scripts to connect to external APIs, process data in JSON and XML formats, and ensure reliable data retrieval with robust error handling. Collaborate with cross-functional teams to gather requirements, provide technical guidance, and ensure alignment on project goals, fostering open communication. Should have excellent problem-solving skills and the ability to troubleshoot and resolve technical issues. Adhere to the control, governance, and development standards for intelligent solutions. Should have strong communication skills and the ability to work collaboratively with different teams. Required qualifications, capabilities, and skills Bachelors degree in Computer Science, Engineering, or a related field. Proven experience in Python programming and automation. Experience with Python libraries such as Pandas, NumPy, PyQt, Streamlit, Matplotlib, Seaborn, openpyxl, xlrd, Flask, PyPDF2, pdfplumber and SQLite . Analytical, quantitative aptitude, and attention to detail. Strong verbal and written communication skills.

**Job Title:*Quality Analyst **Company:*KPI Partners **Location:*Bangalore, Karnataka, India / Hyderabad, Telangana, India / Pune, Maharashtra, India **About KPI Partners:** KPI Partners is a leading consultancy firm specializing in business intelligence and data analytics solutions. We empower organizations to leverage data for informed decision-making and strategic planning. Our commitment to excellence and innovation drives our mission to deliver superior results for our clients. We are seeking dynamic and detail-oriented professionals to join our expanding team in the role of Quality Analyst. **Job Summary:** As a Quality Analyst at KPI Partners, you will play a crucial role in ensuring the quality and integrity of our data analytics solutions. You will be responsible for developing and executing test plans, identifying defects, and ensuring that our software applications meet the highest standards of quality. Your analytical skills and attention to detail will directly contribute to the success of our projects and the satisfaction of our clients. **Key Responsibilities:** - Develop and execute comprehensive test plans and test cases based on project requirements and specifications. - Perform functional, regression, integration, and performance testing of software applications. - Identify, document, and track defects using defect management tools. - Collaborate with development teams to reproduce issues and validate fixes. - Participate in requirements reviews and provide input on testability. - Conduct thorough data validation and ensure data quality throughout the project lifecycle. - Automate test cases where applicable to improve efficiency and coverage. - Contribute to continuous improvement initiatives within the quality assurance process. - Prepare detailed reports on testing activities, defects, and overall software quality. - Stay up to date with industry best practices and tools related to quality assurance and testing. **Qualifications:** - Bachelor s degree in Computer Science, Information Technology, or a related field. - Proven experience as a Quality Analyst or in a similar QA role. - Strong understanding of software testing principles and methodologies. - Hands-on experience in testing Data Warehousing, ETL processes, and BI reports. - Familiarity with SQL and data validation practices. - Excellent analytical and problem-solving skills. - Strong attention to detail and accuracy. - Effective communication and collaboration skills. - Ability to work independently and as part of a team in a fast-paced environment. **What We Offer:** - Competitive salary and performance-based incentives. - Opportunities for professional development and career advancement. - A dynamic and inclusive work culture that values diversity. - Work-life balance and flexible working hours. - Health and wellness benefits.

As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs. Your primary responsibilities include: Design, build, optimize and support new and existing data models and ETL processes based on our client’s business requirements. Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization. Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Design, develop, and maintain Ab Initio graphs for extracting, transforming, and loading (ETL) data from diverse sources to various target systems. Implement data quality and validation processes within Ab Initio. Data Modeling and Analysis:. Collaborate with data architects and business analysts to understand data requirements and translate them into effective ETL processes. Analyze and model data to ensure optimal ETL design and performance. Ab Initio Components:. . Utilize Ab Initio components such as Transform Functions, Rollup, Join, Normalize, and others to build scalable and efficient data integration solutions. Implement best practices for reusable Ab Initio components Preferred technical and professional experience Optimize Ab Initio graphs for performance, ensuring efficient data processing and minimal resource utilization. Conduct performance tuning and troubleshooting as needed. Collaboration:. . Work closely with cross-functional teams, including data analysts, database administrators, and quality assurance, to ensure seamless integration of ETL processes. Participate in design reviews and provide technical expertise to enhance overall solution quality. Documentation

In this vital role you will be responsible for the development and implementation of our data strategy. The ideal candidate possesses a strong blend of technical expertise and data-driven problem-solving skills. As a Data Engineer, you will play a crucial role in building, and optimizing our data pipelines and platforms in a SAFE Agile product team. Chip in to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions. Deliver for data pipeline projects from development to deployment, managing, timelines, and risks. Ensure data quality and integrity through meticulous testing and monitoring. Leverage cloud platforms (AWS, Databricks) to build scalable and efficient data solutions. Work closely with product team, and key collaborators to understand data requirements. Enforce to data engineering industry standards and standards. Experience developing in an Agile development environment, and comfortable with Agile terminology and ceremonies. Familiarity with code versioning using GIT and code migration tools. Familiarity with JIRA. Stay up to date with the latest data technologies and trends What we expect of you Basic Qualifications: Doctorate degree OR Master s degree and 4 to 6 years of Information Systems experience OR Bachelor s degree and 6 to 8 years of Information Systems experience OR Diploma and 10 to 12 years of Information Systems experience. Demonstrated hands-on experience with cloud platforms (AWS, Azure, GCP) Proficiency in Python, PySpark, SQL. Development knowledge in Databricks. Good analytical and problem-solving skills to address sophisticated data challenges. Preferred Qualifications: Experienced with data modeling Experienced working with ETL orchestration technologies Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and DevOps Familiarity with SQL/NOSQL database Soft Skills: Skilled in breaking down problems, documenting problem statements, and estimating efforts. Effective communication and interpersonal skills to collaborate with multi-functional teams. Excellent analytical and problem solving skills. Strong verbal and written communication skills Ability to work successfully with global teams High degree of initiative and self-motivation. Team-oriented, with a focus on achieving team goals

Job_Description":" Qualifications: - Minimum of 5 years of experience as a tester, developer or other relevant role - Ability to create manual and automated tests from user stories, execute tests and record results - Experience with automated testing frameworks, tools and services - Knowledge of/Familiarity with DevOps and CI/CD concepts - Demonstrated application of strong analytical skills in manual testing approaches > Be a problem solver > Find creative solutions for tough problems > Critical thinker - Excellent written & verbal communication skills Preference given to the following experience and skills: - Understanding of AI/ML Concepts: A solid grasp of fundamental AI and machine learning concepts (e.g., supervised learning, unsupervised learning, deep learning) is necessary. - Data Handling and Analysis: Ability to work with large datasets, understand data quality issues, and perform data analysis to evaluate model performance is crucial. - AI Model Testing Techniques: Familiarity with testing methods specific to AI models, such as bias detection, robustness testing, and performance evaluation is needed. - Knowledge of AI Frameworks and Tools: Experience with AI development frameworks like TensorFlow or PyTorch and relevant testing tools is advantageous. ","

Imaging Support Specialist _ Office Based ICON plc is a world-leading healthcare intelligence and clinical research organization. We re proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development We are currently seeking an Imaging Support Specialist to join our diverse and dynamic team. As an Imaging Support Specialist at ICON, you will play a vital role in providing technical support and assistance for imaging operations within clinical trials. You will ensure that imaging processes run smoothly, facilitating effective communication and coordination among teams and stakeholders. What You Will Be Doing: Providing day-to-day technical support for imaging systems and processes, troubleshooting issues as they arise. Assisting in the setup and maintenance of imaging equipment, ensuring compliance with safety and regulatory standards. Collaborating with clinical teams to ensure proper execution of imaging protocols and adherence to study timelines. Training staff on imaging procedures, software, and best practices to optimize workflow and data quality. Maintaining accurate records of imaging data, system performance, and support requests to facilitate continuous improvement. Your Profile: Bachelor s degree in medical imaging, radiologic technology, or a related field; relevant certifications preferred. 1-3 years of experience in imaging support or a related role, ideally within a clinical research setting. Strong technical skills and familiarity with imaging equipment and software. Excellent problem-solving abilities, with attention to detail and a proactive approach to support. Strong communication and interpersonal skills, with the ability to work effectively in a team-oriented environment. What ICON can offer you: Our success depends on the quality of our people. That s why we ve made it a priority to build a diverse culture that rewards high performance and nurtures talent. In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family. Our benefits examples include: Various annual leave entitlements A range of health insurance offerings to suit you and your family s needs. Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead. Global Employee Assistance Programme, TELUS Health, offering 24-hour access to a global network of over 80,000 independent specialised professionals who are there to support you and your family s well-being. Life assurance Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others. Visit our careers site to read more about the benefits ICON offers. At ICON, inclusion & belonging are fundamental to our culture and values. We re dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here . Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless - there s every chance you re exactly what we re looking for here at ICON whether it is for this or other roles. Are you a current ICON Employee? Please click here to apply

Role Overview : We are hiring aTalend Data Quality Developerto design and implement robust data quality (DQ) frameworks in a Cloudera-based data lakehouse environment. The role focuses on building rule-driven validation and monitoring processes for migrated data pipelines, ensuring high levels of data trust and regulatory compliance across critical banking domains. Key Responsibilities : Design and implement data quality rules using Talend DQ Studio , tailored to validate customer, account, transaction, and KYC datasets within the Cloudera Lakehouse. Create reusable templates for profiling, validation, standardization, and exception handling. Integrate DQ checks within PySpark-based ingestion and transformation pipelines targeting Apache Iceberg tables . Ensure compatibility with Cloudera components (HDFS, Hive, Iceberg, Ranger, Atlas) and job orchestration frameworks (Airflow/Oozie). Perform initial and ongoing data profiling on source and target systems to detect data anomalies and drive rule definitions. Monitor and report DQ metrics through dashboards and exception reports. Work closely with data governance, architecture, and business teams to align DQ rules with enterprise definitions and regulatory requirements. Support lineage and metadata integration with tools like Apache Atlas or external catalogs. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience 5–10 years in data management, with 3+ years in Talend Data Quality tools. Platforms Experience in Cloudera Data Platform (CDP) , with understanding of Iceberg , Hive , HDFS , and Spark ecosystems. Languages/Tools Talend Studio (DQ module), SQL, Python (preferred), Bash scripting. Data Concepts Strong grasp of data quality dimensions—completeness, consistency, accuracy, timeliness, uniqueness. Banking Exposure Experience with financial services data (CIF, AML, KYC, product masters) is highly preferred.

Job Description: Job Title: Data Technical Lead Location: Bengaluru Experience: 15-20 Years Contact: 9045052066 As the Data Management Platform (DMP) Technical Lead, you will be responsible for embedding a world class product development and engineering culture and organization. You will work with development, architecture and operations as well as platform teams to ensure we are delivering a best-in-class technology solution. You will work closely together with the Business Platform Owner to ensure an integrated end-to-end view across people and technology for the Business Platform. You will also defend the faith and work with stakeholders across the enterprise to ensure we are developing the right solutions. In parallel, you will focus on building a high-performing team that will thrive in a fast-paced continuous delivery engineering environment The role involves architecting, designing, and delivering solutions in tool stack including Informatica MDM SaaS, Informatica Data Quality, Collibra Data Governance, and other data tools. Key responsibilities: Shape technical strategy (e.g., build vs. buy decisions, technical road-mapping) in collaboration with architects Evaluate and identify appropriate technology stacks, platforms and vendors, including web application frameworks and cloud providers for solution development Attend team ceremonies as required; in particular, feature refinement and cross-team iteration reviews/demos Drive the resolution of technical impediments Own the 'success' of foundational enablers Champion for Research and Innovation Lead in scaled agile ceremonies and activities, like quarterly reviews, quarterly increment planning and OKR writing Collaborate with the Platform Owner in the writing and prioritization of technical capabilities and enablers Present platform delivery metrics, OKR health and platform finance status to Executive audiences Collaborate with other Technical Leads Create and maintain the technical roadmap for in-scope products and services at the platform/portfolio level Key Experience: B.E. / B.Tech or equivalent Engineering professional Masters degree or equivalent experience in Marketing, Business or finance is an added advantage 10+ yrs. of experience in technical architecture, solution design, and platform engineering Strong experience in MDM, Data Quality and Data Governance practices including tool stack such as Informatica MDM SaaS, Informatica Data Quality, and Collibra is a plus Good experience with major cloud platforms and data tools in cloud including but not limited to AWS, Microsoft Azure, Kafka, CDC, Tableau, and Data virtualization tools Good experience in ETL and BI solution development and tool stack Informatica ETL experience is a plus Good experience in Data Architecture, SQL, NoSQL, REST API, data security, and AI concepts Familiarity with agile methodologies and data factory operations processes including usage of tools like confluence, Jira and Miro Strong knowledge of industry standards and regulations: A data platform owner should have knowledge of industry standards and regulations related to data management, such as HIPAA, PCI-DSS, and GDPR. Proven knowledge of working in financial services, preferably, insurance space Experience in senior engineering and technology roles working with teams to build/deliver digital products Experience in providing guidance and insight to establish governance processes, direction, and control, to ensure objectives are achieved and risks are managed appropriately for product development A leader who has a track record of onboarding, and developing engineering and product teams Experience as a technology leader who has defined and implemented technical strategies within complex organizations and is able to Influence and contribute to the higher-level engineering strategy Has insight into the newest technologies and trends and is an expert in product development with experience in code delivery and management of full stack technology Experience in digital capabilities such as DevSecOps, CI/CD, and agile release management A wide experience and understanding of architecture in terms of solution, data, and integration Can provide direct day-to-day engineering and technology problem-solving, coaching, direction, and guidance to Technical Leads and Senior Technical Leads within their Platform Strong leadership skills with an ability to influence a diverse group of stakeholders Ability to influence technical strategy at the BG and Enterprise level Experience working in Agile teams with a strong understanding of agile ways of working Experience managing technical priorities within an evolving product backlog Understands how to decompose large technical initiatives into actionable technical enablers Experience in the continuous improvement of software development workflows and pipelines Proven leadership; ability to articulate ideas to both technical and non-technical audiences Ability to communicate strategy and objectives, and align organizations to a common goal Strong problem solver with ability to lead the team to push the solution Ability to empower teams and encourage collaboration Ability to inspire people and teams, building momentum around a vision Critical thinker and passion to challenge status quo to find new solutions and drive out of the box ideas Believes in a non-hierarchical culture of collaboration, transparency and trust across the team Experimental mindset to drive innovation and continuous improvement of team.

Imaging Support Specialist _ Office Based We are currently seeking an Imaging Support Specialist to join our diverse and dynamic team. As an Imaging Support Specialist at ICON, you will play a vital role in providing technical support and assistance for imaging operations within clinical trials. You will ensure that imaging processes run smoothly, facilitating effective communication and coordination among teams and stakeholders. What You Will Be Doing: Providing day-to-day technical support for imaging systems and processes, troubleshooting issues as they arise. Assisting in the setup and maintenance of imaging equipment, ensuring compliance with safety and regulatory standards. Collaborating with clinical teams to ensure proper execution of imaging protocols and adherence to study timelines. Training staff on imaging procedures, software, and best practices to optimize workflow and data quality. Maintaining accurate records of imaging data, system performance, and support requests to facilitate continuous improvement. Your Profile: Bachelor s degree in medical imaging, radiologic technology, or a related field; relevant certifications preferred. 1-3 years of experience in imaging support or a related role, ideally within a clinical research setting. Strong technical skills and familiarity with imaging equipment and software. Excellent problem-solving abilities, with attention to detail and a proactive approach to support. Strong communication and interpersonal skills, with the ability to work effectively in a team-oriented environment. Visit our careers site to read more about the benefits ICON offers. At ICON, inclusion & belonging are fundamental to our culture and values. We re dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here . Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless - there s every chance you re exactly what we re looking for here at ICON whether it is for this or other roles. Are you a current ICON Employee? Please click here to apply

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary Senior Associate Business Analyst Responsibilities Role Senior Associate Exp 36 Years Location Bangalore Must have / Primary Skills / Mandatory 36 Years of experience within the Banking / Captives industry EndtoEnd understanding of Banking functions & processes Good Understanding of Customer Lifecycle in Banking Exposure to building and maintaining EDW, Data Models for Banks/NBFC for minimum one project Experience in writing BRDs / FRDs, conducting UAT Understanding of Data Architecture and EDW for Banks Exposure to SDLC / Agile Good to have / Secondary Skills / Desired Understanding of Technology stack that supports banking operations Experience in Test Case/Scenario creation for QA and UAT Experience with SQL & relational databases knowledge (Oracle database, PLSQL) CFA certification (L1, L2, L3) good to have Project Management Experience Strong team building, partnership and collaboration skills Excellent communication skills, written, verbal, and listening Mandatory skill sets Business Analyst/Banking/SDLC Preferred skill sets Business Analyst/Banking/SDLC Years of experience required 36 Years Education qualification B.E.(B.Tech) MBA (preferable) Education Degrees/Field of Study required Bachelor of Technology, Master of Business Administration Degrees/Field of Study preferred Required Skills Apache Hadoop Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more} No

As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You’ll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you’ll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you’ll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour’s. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience in the integration efforts between Alation and Manta, ensuring seamless data flow and compatibility. Collaborate with cross-functional teams to gather requirements and design solutions that leverage both Alation and Manta platforms effectively. Develop and maintain data governance processes and standards within Alation, leveraging Manta's data lineage capabilities. Analyze data lineage and metadata to provide insights into data quality, compliance, and usage patterns.. Preferred technical and professional experience Lead the evaluation and implementation of new features and updates for both Alation and Manta platforms Ensuring alignment with organizational goals and objectives. Drive continuous improvement initiatives to enhance the efficiency and effectiveness of data management processes, leveraging Alati

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

As a Senior Data Analyst on our Patient Experience Platform team, you will transform data into actionable insights that shape the future of patient engagement. Youll work with product, clinical, and engineering teams to analyze patient behaviors, satisfaction metrics, and platform usage, driving data-informed decisions that enhance the healthcare journey. What You'll Do Analyze structured and unstructured data to uncover trends in patient behavior, satisfaction, and engagement across the platform. Define, track, and report on KPIs related to patient experience, platform adoption, NPS, CSAT, and clinical outcomes. Collaborate with stakeholders to support experimentation (A/B testing), feature evaluation, and user behavior analysis. Design and maintain dashboards and self-service analytics tools to communicate insights effectively to business and clinical teams. Ensure accurate and consistent data capture across the platform in collaboration with product managers and engineers. Support efforts to improve data quality, integrity, and accessibility from various sources (EHRs, surveys, engagement tools). Translate complex data into compelling stories that inform decision-making and prioritize product enhancements. Maintain compliance with HIPAA and other healthcare data privacy and security standards. Mentor junior analysts and promote a data-driven culture across the organization. Drive initiatives for improving data governance practices, ensuring data accuracy and consistency. Lead the analysis of A/B test results to guide product and UX optimizations. Contribute to the creation of reports and presentations for senior leadership that summarize insights and recommend actions. What You Have Bachelors or Masters degree in Data Science, Statistics, Public Health, Computer Science, or a related field. 3+ years of experience in data analysis, preferably within healthcare or digital health technology. Proficiency in SQL and at least one analytical programming language (Python or R). Experience with BI tools such as Looker, Tableau, Power BI, or similar. Strong understanding of behavioral and product analytics, including funnel analysis, cohort analysis, retention, and segmentation. Familiarity with healthcare data formats (e.g., HL7, FHIR, EMR/EHR data, HCAHPS, CAHPS). Experience working with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift, Clickhouse). Knowledge of A/B testing methodologies and statistical significance. Strong data storytelling, communication, and collaboration skills. A passion for improving healthcare experiences through data and technology. Experience with predictive analytics or machine learning models is a plus. Knowledge of data visualization best practices to present complex findings in an easily digestible format. Familiarity with data privacy regulations, including GDPR, in addition to HIPAA. Ability to work with large-scale datasets and experience in data wrangling.

Job Description: We are seeking a highly experienced Syniti MDM Consultant with 10+ years of experience in Master Data Management to lead enterprise-level data management initiatives. The ideal candidate will have deep expertise in Syniti MDM (formerly known as BackOffice Associates) , strong data governance understanding, and a successful track record of driving MDM implementations across large-scale environments. Key Responsibilities: Lead the design and implementation of Syniti MDM solutions for enterprise clients. Work with business and technical stakeholders to define data governance, data quality , and MDM strategies . Perform data profiling, data cleansing, and data enrichment using Syniti tools. Integrate Syniti MDM with ERP systems like SAP, Oracle, Salesforce , etc. Develop and enforce master data standards, policies , and process frameworks . Provide leadership in data modeling , entity relationships, and hierarchy management . Manage data migration projects using Syniti Data Migration tools (formerly DSP). Support metadata management and data lineage for critical data domains (Customer, Product, Vendor, Material, etc.). Collaborate with cross-functional teams to drive business adoption of MDM best practices. Troubleshoot performance and integration issues with Syniti MDM platform. Role & responsibilities Preferred candidate profile

We are hiring for a leading Insurance Consulting organisation for Data Strategy & Governance role Exp: 4 to 6 yyrs Location : BangalorePune Responsibility: Develop and Drive Data Capability Maturity Assessment, Data & Analytics Operating Model & Data Governance exercises for clients Managing Critical Data Elements (CDEs) and coordinating with Finance Data Stewards Overseeing data quality standards and governance implementation Establish processes around effective data management ensuring Data Quality & Governance standards as well as roles for Data Stewards

Responsibilities 100% thorough on Java programming 100% knowledge on API Automation + min of 50 % knowledge on UI Automation programming or 100% knowledge on UI Automation programming + min of 50 % knowledge on the API Automation Excellent API automation skills and experience with tools like Rest Assured.Strong proficiency in manual API testing using Postman. A good understanding of backend API flows integrated with UI. Our work primarily focuses on Microservices and APIs, so relevant experience in these areas is highly valued. Preferred Skills: Technology->Automated Testing->Automated Testing - ALL->API Testing Technology->ETL & Data Quality->ETL - Others Technology->Functional Testing->Mainframe testing Technology->Microsoft Technologies->C# (C Sharp) Technology->Mobile Testing->Mobile Automation Testing Technology->Package Testing->PEGA Testing Technology->Package testing->SAP->FICO Technology->Performance Testing->Performance Testing - ALL Educational Requirements MSc,MTech,Bachelor of Engineering,BTech Service Line Infosys Quality Engineering * Location of posting is subject to business requirements

Job Title: Senior Syniti MDM Consultant (10+ Years Experience) Location: Bangalore Hyderabad Experience: 10+ Years Job Description: We are seeking a highly experienced Syniti MDM Consultant with 10+ years of experience in Master Data Management to lead enterprise-level data management initiatives. The ideal candidate will have deep expertise in Syniti MDM (formerly known as BackOffice Associates) , strong data governance understanding, and a successful track record of driving MDM implementations across large-scale environments. Key Responsibilities: Lead the design and implementation of Syniti MDM solutions for enterprise clients. Work with business and technical stakeholders to define data governance, data quality , and MDM strategies . Perform data profiling, data cleansing, and data enrichment using Syniti tools. Integrate Syniti MDM with ERP systems like SAP, Oracle, Salesforce , etc. Develop and enforce master data standards, policies , and process frameworks . Provide leadership in data modeling , entity relationships, and hierarchy management . Manage data migration projects using Syniti Data Migration tools (formerly DSP). Support metadata management and data lineage for critical data domains (Customer, Product, Vendor, Material, etc.). Collaborate with cross-functional teams to drive business adoption of MDM best practices. Troubleshoot performance and integration issues with Syniti MDM platform. Role & responsibilities Preferred candidate profile

Role & responsibilities 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. 1. 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. Preferred candidate profile Minimum 4- 8 years of experience in Data governance related activities Bachelors degree in (B. Tech /BCA, BSc (IT) etc.) Information Systems and relevant field Experience in Data management life cycle and Data governance activities.