2325 Data Quality Jobs - Page 3

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Finance & Accounting Analyst to join our team in Gurgaon, Haryana, India. Technical Skill Must have Very good knowledge of relevant usage of Master Data Very good data analysis skills Problem resolving skills and should be a team player Working knowledge of MS Office and databases SAP ERP Soft Skills Good communication skills (verbal and written). Good interpersonal skills and ability to self-manage. Display good planning and organizing abilities. Demonstrate good attention to detail and deadline driven. Able to cope with stressful situations. Able to deal with different individuals at various levels in the organization. Takes own initiative and has a solutions-orientated approach. Maintains a high standard of accuracy and quality. Ability to work independently and be a knowledge expert Comfortable working with targets Patience and ability to manage stress Job Responsibilities End-to-end ownership of master data management Product Master - creation and Maintenance Client Master - creation and Maintenance Vendor Master - creation and Maintenance Service Master - creation and Maintenance Data Governance - Review each incoming request for duplication and completeness of data Data Quality - Review each record for correctness and completeness Analyze and triage missing master data issues and work with respective teams to fix the issues

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Accounting Manager to join our team in Gurgaon, Haryana, India. Key Responsibilities. Manage a team operating at any location Manage and supervise Reconciliations done by team w.r.t.: o Product Master - creation and Maintenance o Client Master - creation and Maintenance o Vendor Master - creation and Maintenance o Service Master - creation and Maintenance o Data Governance - Review each incoming request for duplication and completeness of data o Data Quality - Review each record for correctness and completeness Guiding Team to perform their day-to-day tasks Ensuring completion of tasks within given TAT, meeting all quality parameters Suggest improvement and innovation to process faster and qualitative reconciliation Management reporting through Monthly Dashboard and Data Analysis Stakeholder Management through weekly and Monthly meetings Key Performance Parameters: Intensity / Commitment To Task Follows up on commitments self-motivated Responsive and accessible Maintains high accuracy level with timely completion of deliverables Good control over the entire process Aligning with Company strategies Problem Solving Identifies problems, evaluates several options and recommendations, and supports a solution Ability and willingness to come up with creative solutions for problems Ability to keep organizational goals in mind while making decisions Judgment Develops accurate perception and understanding of others positions, feelings, needs, values, and opinions Approach conflict and adversity in a professional and productive manner Manage professionally and ethically while dealing with emotional topics, irate individuals and demanding customers Makes well thought out decisions Motivating / Team Building Ability to get things done through team members by developing strong working relationships. Builds credibility and rapport with a variety of management styles and levels across the company. Instills commitment and enthusiasm for high levels of performance. Displays a positive attitude. Acts as a positive role model for others in the group. Persuader / Communications Expresses him/herself in an honest, positive, and up-beat manner. Listens well and is focused when others are speaking. Effectively communicates with appropriate individuals through all phases of a project or task. Proactivity / Planning Properly manages time, establishes priorities and effectively schedules work to meet deadlines. Anticipates obstacles and develops contingency plans. Eager, resourceful and takes initiative People Management/Development Effectively trains new employees. Assesses developmental needs of individuals and uses coaching techniques to affect these opportunities. Provides honest & timely feedback to employees. Motivates and empowers team and peers; encourages initiative, contribution and collaboration.

GAQ426R122 The Corporate Engineering team builds/provides services and infrastructure that allow our Bricksters to be successful. The team is dedicated to ensuring that the underlying infrastructure runs smoothly and that systems and tools work as expected. Databricks is hiring an experienced Identity and Access Management Engineer to manage critical Identity and Access Management processes and build future capabilities. This role is part of the Corporate Engineering team and is essential to scaling and optimising our Identity Infrastructure as we continue our hyper-growth. The impact you will have: You will work with different teams to ensure that the IAM services we offer to the business are built for efficiency and scale. You will work closely with IT and Security teams to ensure the secure implementation of identity lifecycle processes (provisioning, updates, de-provisioning). You will provide Tier 3 support for the IT HelpDesk team. Partnering with IT support leads to understanding identity trends and implementing solutions to improve them through process or automation. You will work with internal IT teams to support and implement advanced configurations for identity systems such as Okta, AD, and Opal, implementing access controls for SaaS applications. You will develop solutions or applications to facilitate identity automation across the Databricks Identity infrastructure securely. You will help define service-level agreements and processes, working with IT support to streamline access requests and improve transaction transparency. You will strive to improve our processes to provide a smooth and automated user LCM experience. You will help build a world-class customer identity management platform. What we are looking for: At least 7+ years of experience or related experience administering Okta, including advanced configurations such as OIDC/Oauth, SCIM, cross-tenant federation, Okta Workflows, and APIs 4+ years of experience or related experience administering identity for systems, including IAM configuration for Saas and/or a subset of PAM, NHI Management,etc. 2+ years of experience programming in a language such as Python, node.js, Golang or Scala is required. Familiarity with IAM concepts of least privileged access, Federation, Assurance, Reconciliation, and evidence needs for Audits. Familiar with design patterns to implement RBAC vs. ABAC vs. PBACFamiliar with Customer Identity Management. Familiarity with APIs with a track record of leveraging them to improve efficiency through automation or data quality. Familiarity with AI agents and concepts around securing them About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter , LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https: / / www.mybenefitsnow.com / databricks . Our Commitment to Diversity and Inclusion . Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employers discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Minimum 2 years of experience in RCM domain in US Health, preferably in Quality Auditor/Expert capacity in Accounts Receivables. Expertise in medical billing end to end RCM Strong knowledge on various denials and remark codes and able to take immediate action to resolve them and follow up on the claims for collection of payment Monitor and analyze RCM process errors Audit error corrections both short- and long-term Quantify error rates and their trends individually, by team, by client, and by client pool Analyze the errors to build training materials and tests Create automation solutions to reduce error rates Should be able to resolve billing issues that have resulted in delay in payment Responsible for call/data quality monitoring Provide feedback to agents using the prescribed feedback model Mentoring and coaching agents on process-level issues Monitor adherence to compliance procedures and processes Responsible for reporting program-level quality scores to the process owners Responsible for conducting calibration and performance review calls in terms of quality with clients as well as the internal team Conduct refresher training on the basis of the errors identified Perform weekly analysis aiming at improving SLA Perform brainstorming and root cause analysis to analyze data and provide tips or suggestions to the operation/management team Identify and highlight potential risk areas and recommend preventive action Maintaining a robust monitoring system to ensure key program metrics are adhered to and the required level of quality is maintained across the board

Data Engineer-Palantir - Role Palantir Data Engineers No of years experience Total 5+ year (Relevant Palantir experience 3+ years) Mandatory Skills Palantir skill Work Location India - Hybrid Job Title: Palantir Foundry Data Engineer The Role As a Palantir Foundry Data Engineer , you will be at the forefront of transforming raw data into actionable intelligence. Youll work directly with customers and internal teams to design and implement robust data pipelines, ensuring that data is clean, structured, and ready for analysis in Palantirs platforms. This role is deeply technical and highly collaborative, requiring both engineering expertise and a strong understanding of real-world data challenges. What Youll Do Data Integration & Modeling : Ingest and transform data from diverse sources (e.g., APIs, databases, flat files, streaming systems) into structured, queryable formats using Palantirs tools and custom code. Pipeline Development : Build scalable, fault-tolerant ETL/ELT pipelines using technologies such as PySpark, SQL, and Palantirs proprietary tools like Foundrys Code Repositories and Pipeline Builder . Customer Collaboration : Work closely with clients to understand their data landscape, identify integration challenges, and deliver tailored solutions that meet their operational and analytical needs. Data Quality & Governance : Implement validation checks, monitoring, and documentation to ensure data integrity, traceability, and compliance with security and privacy standards. Cross-functional Impact : Partner with deployment strategists, software engineers, and product designers to shape how data is used across applications and decision-making workflows. Object Management : Create the Ontology Objects, Links and actions which allow the maintenance of the data by the downstream applications. Palantir Tool Knowledge : Hands On experience with Code repositories, Pipeline Builders, Code workbook, Data health, Data Connections, Egress policies, Ontology Management, Contour, Solution designer & Data Lineage. What Were Looking For Technical Proficiency : Strong coding skills in Python, Java, or Scala, and deep experience with SQL. Familiarity with distributed data processing frameworks (e.g., Spark, Flink) is a plus. Data Architecture Knowledge : Understanding of data warehousing, data lakes, schema design, and performance optimization. Problem Solving : Ability to break down complex data problems and design elegant, scalable solutions. Communication Skills : Comfortable engaging with both technical and non-technical stakeholders. You can explain data concepts clearly and advocate for best practices. Adaptability : Thrive in fast-paced, ambiguous environments. Youre comfortable learning new tools and technologies on the fly. Preferred Qualifications Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Familiarity with Palantir Foundry. Background in a domain such as Oil & gas, finance, healthcare, logistics, or defence is a plus. Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field. Location- PAN India Yrs of Exp-5+Yrs

Req ID: 323226 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Digital Solution Architect Sr. Advisor to join our team in Bengaluru, India, Karn taka (IN-KA), India (IN). Key Responsibilities: Design data platform architectures (data lakes, lakehouses, DWH) using modern cloud-native tools (e.g., Databricks, Snowflake, BigQuery, Synapse, Redshift). Architect data ingestion, transformation, and consumption pipelines using batch and streaming methods. Enable real-time analytics and machine learning through scalable and modular data frameworks. Define data governance models, metadata management, lineage tracking, and access controls. Collaborate with AI/ML, application, and business teams to identify high-impact use cases and optimize data usage. Lead modernization initiatives from legacy data warehouses to cloud-native and distributed architectures. Enforce data quality and observability practices for mission-critical workloads. Required Skills: 10+ years in data architecture, with strong grounding in modern data platforms and pipelines. Deep knowledge of SQL/NoSQL, Spark, Delta Lake, Kafka, ETL/ELT frameworks. Hands-on experience with cloud data platforms (AWS, Azure, GCP). Understanding of data privacy, security, lineage, and compliance (GDPR, HIPAA, etc.). Experience implementing data mesh/data fabric concepts is a plus. Expertise in technical solutions writing and presenting using tools such as Word, PowerPoint, Excel, Visio etc. High level of executive presence to be able to articulate the solutions to CXO level executives. Preferred Qualifications: Certifications in Snowflake, Databricks, or cloud-native data platforms. Exposure to AI/ML data pipelines, MLOps, and real-time data applications. Familiarity with data visualization and BI tools (Power BI, Tableau, Looker, etc.).

JC no -63706Location-Bangalore,Pune,Chennai,Coimbatore Please find theJD:IDMCMDMEngineerJDConfigure and maintain Informatica IDMCMDM360 SaaS platform to support core Master Data Management (MDM) capabilities including Business Entity modeling, match/merge rules, survivorship, and data quality. Collaborate with business and data stakeholders to define master data structure and mapping, hierarchies, and data governance rules aligned with organizational needs. Implement and tune match & merge rules, leveraging IDMC platform native matching capabilities and survivorship strategies for optimal entity resolution. Design and configure Business Entity Services, workflows, and role-based user interfaces (UI) using Informatica's cloud-native application composer. Develop data onboarding strategies and configure source system integration pipelines using Informatica Cloud Data Integration (CDI) and API-based ingestion. Ensure platform scalability and performance through environment management, metadata configuration, and ongoing optimization in a multi-domain, cloud-native environment Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLAs defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers and clients business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLAs Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks Deliver NoPerformance ParameterMeasure1ProcessNo. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT2Team ManagementProductivity, efficiency, absenteeism3Capability developmentTriages completed, Technical Test performance Mandatory Skills: Informatica MDM. Experience5-8 Years.

Req ID: 329296 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Azure Data Engineer to join our team in Bangalore, Karn taka (IN-KA), India (IN). Role description Design, implement, and maintain data pipelines and data integration solutions using Azure Synapse Develop and optimize data models and data storage solutions on Azure Collaborate with data scientists and analysts to implement data processing and data transformation tasks. Ensure data quality and integrity through data validation and cleansing methodologies. Monitor and troubleshoot data pipelines to identify and resolve performance issues. Collaborate with cross-functional teams to understand and prioritize data requirements. Stay up-to-date with the latest trends and technologies in data engineering and Azure services. Skills:- Bachelor s degree in IT, computer science, computer engineering, or similar 8+ years of experience in Data Engineering. Microsoft Azure Synapse Analytics experience is essential. (Azure Data Factory, Dedicated SQL Pool, Lake Database, Azure Storage) Hands on experience in Spark notebooks(python or Scala) is mandatory End-to-end Data Warehouse experience: Ingestion, ETL, big data pipelines, data architecture, message queuing, BI/Reporting, and Data Security. Advanced SQL/relational database knowledge and query authoring. Demonstrated experience in design and delivering data platforms for Business Intelligence and Data Warehouse. Strong skills in handling and analysing complex, high volume data with excellent attention in details. Knowledge of data modelling and data warehousing concepts, such as DataVault or 3NF. Experience with Data Governance (Quality, Lineage, Data dictionary, and Security). Familiar with Agile methodology and Agile working environment. Ability to work alone with POs, BAs, Architects.

We are looking for a talented Data Engineer cum Database Developer with a strong background in the banking sector. The ideal candidate will have experience with SQL Server, AWS PostgreSQL, AWS Glue, and ETL tools, along with expertise in data ingestion frameworks and Control-M scheduling Key Responsibilities: Design, develop, and maintain scalable data pipelines to support data ingestion and transformation processes. Collaborate with cross-functional teams to gather requirements and implement solutions tailored to banking applications. Utilize SQL Server and AWS PostgreSQL for database development, optimization, and management. Implement data ingestion frameworks to ensure efficient and reliable data flow. Develop and maintain ETL processes using AWS Glue / other ETL tool, Control-M for scheduling Ensure data quality and integrity through validation and testing processes. Monitor and optimize system performance to support business analytics and reporting needs. Document data architecture, processes, and workflows for reference and compliance purposes. Stay updated on industry trends and best practices related to data engineering and management. Qualifications: Bachelor s degree in computer science, Information Technology, or a related field. 4+ years of experience in data engineering and database development, preferably in the banking sector. Proficiency in SQL Server and AWS PostgreSQL. Experience with Databricks/ AWS Glue or any other ETL tools (e.g., Informatica, ADF). Strong understanding of data ingestion frameworks and methodologies. Excellent problem-solving skills and attention to detail. Knowledge of Securitization in the banking industry would be plus Strong communication skills for effective collaboration with stakeholders Familiarity with cloud-based data architectures and services. Experience with data warehousing concepts and practices. Knowledge of data privacy and security regulations in banking.

Job Summary: We are looking for a skilled and experienced Senior Developer - Reltio MDM with 4 to 7 years of hands-on experience. This role involves designing, developing, and supporting high-quality Master Data Management (MDM) solutions using Reltio to drive data integrity and support critical business functions. Key Responsibilities: Design, develop, and maintain scalable Reltio MDM solutions ensuring data accuracy, consistency, and integrity. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Implement data models, workflows, configurations, and customizations within the Reltio platform. Perform performance tuning, troubleshooting, and optimization of Reltio MDM components. Ensure compliance with data governance, privacy, and security standards. Create and maintain technical documentation, including design specifications, configuration guides, and user manuals. Provide ongoing support and maintenance for Reltio MDM implementations. Participate in code reviews, knowledge sharing, and process improvements. Mentor junior developers and contribute to skill development across the team. Stay current with industry trends, Reltio platform enhancements, and MDM best practices. Required Qualifications: 4-7 years of experience in Reltio MDM development and implementation. Strong expertise in data modeling , data integration , and data quality management . Proven ability to troubleshoot and resolve complex technical issues. Experience with performance tuning and optimization in MDM environments. Solid understanding of data governance , privacy , and security principles. Excellent communication and team collaboration skills. Self-motivated with strong problem-solving abilities and attention to detail. Familiarity with Agile development methodologies .

Job Summary: We are looking for a skilled and experienced Senior Developer - Reltio MDM with 6 to 9 years of hands-on experience. This role involves designing, developing, and supporting high-quality Master Data Management (MDM) solutions using Reltio to drive data integrity and support critical business functions. Key Responsibilities: Design, develop, and maintain scalable Reltio MDM solutions ensuring data accuracy, consistency, and integrity. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Implement data models, workflows, configurations, and customizations within the Reltio platform. Perform performance tuning, troubleshooting, and optimization of Reltio MDM components. Ensure compliance with data governance, privacy, and security standards. Create and maintain technical documentation, including design specifications, configuration guides, and user manuals. Provide ongoing support and maintenance for Reltio MDM implementations. Participate in code reviews, knowledge sharing, and process improvements. Mentor junior developers and contribute to skill development across the team. Stay current with industry trends, Reltio platform enhancements, and MDM best practices. Required Qualifications: 6 - 9 years of experience in Reltio MDM development and implementation. Strong expertise in data modeling , data integration , and data quality management . Proven ability to troubleshoot and resolve complex technical issues. Experience with performance tuning and optimization in MDM environments. Solid understanding of data governance , privacy , and security principles. Excellent communication and team collaboration skills. Self-motivated with strong problem-solving abilities and attention to detail. Familiarity with Agile development methodologies . Prior experience leading team of junior developers or leading technical efforts is a plus.

We are seeking an experienced Senior Data Testing Lead to manage and guide our Data Testing team. The ideal candidate will bring strong expertise in validating complex data pipelines across heterogeneous systems such as Oracle, PostgreSQL, S3, Apache Iceberg, Redshift, and Qlik. This role demands ownership of the testing lifecycle, from test planning to execution and team leadership. Key Responsibilities Lead the end-to-end data testing efforts across multiple data sources and destinations. Manage and mentor a team of junior data testers, ensuring high-quality deliverables and continuous skill development. Define and implement test strategies, plans, and test cases for: Data movement from Oracle/PostgreSQL to AWS S3 Data transformation and ingestion from S3 to Iceberg to Redshift Data reporting flow from Redshift to Qlik Perform data validations and quality checks, ensuring data accuracy, completeness, and integrity. Collaborate with data engineers, architects, and product owners to understand requirements and provide testing inputs. Maintain detailed test documentation and participate in code/data reviews. Set up and maintain test automation frameworks and reusable test scripts for data validation (optional but preferred). Identify and mitigate data quality risks proactively. Required Skills and Experience 8-12 years of overall experience with at least 3+ years in leading data testing teams. Strong SQL skills for data profiling, validation, and test scripting. Solid understanding of ETL/ELT testing methodologies. Experience with AWS S3, Apache Iceberg, Redshift, and Qlik is highly preferred. Proven experience in testing data flows from RDBMS (Oracle, PostgreSQL) to cloud data lakes/warehouses. Ability to work independently and manage multiple priorities in a fast-paced environment. Excellent leadership, communication, and stakeholder management skills. Good to Have Familiarity with data test automation tools like DBT, Great Expectations, or custom Python frameworks. Exposure to domain knowledge (e.g., Insurance, Finance, or Healthcare) is a plus. Experience working in Agile/Scrum teams.

Skills : BODS Technical with Data Migration Experience Education : Bachelor's Degree in Computer Science, Information Systems or related analytical or technical disciplines The ROLE : The Sr. Consultant is responsible for helping our clients address some of their biggest data challenges. The person in this position will be experienced in completing successful projects as a team member and demonstrate business process knowledge in data migration, governance and other focus areas. You will be a key contributor to the consulting team at different phases of the project including discovery, solution generation, design/architecture and the detailing of the overall process. This position will play a pivotal role in helping us drive the successful delivery of new solutions to our clients every day. WHAT YOU WILL DO : - Deliver unique technology and business solutions to clients across industries, including; Financial Services, Pharma & Life Sciences, Manufacturing and Utilities - Implements and develops customer deliverables independently using Syniti methodology and tools that meet or exceed customer requirements - Develop and test all technical solutions per functional specifications and conduct user training as needed - Work closely with other consultants on customer site as a part of small to large size project teams - Participate in team problem solving efforts and offer ideas to solve client issues - Conduct requirements analysis, data analysis and create reports - Assist in the customization and configuration of the solution - Maintain responsibility for completion and accuracy of work products - Actively expand consulting skills and professional development through training courses, mentoring, and daily interaction with clients - Observe and foster best practices in business process design and implementation - Possesses an advanced level of functional/technical expertise within their respective target area of focus - Maintain engagement utilization requirement - Works under moderate supervision and initiates routine tasks with no instructions - This position is remote given the travel restrictions related to COVID-19 and will be re-evaluated at a later date. - Responsible for adhering to the policies, procedures and standards designed to protect customer and corporate information - Support and mentor junior colleagues WHAT IT TAKES : - ERP techno-functional or functional experience, SAP preferred - Successfully participated in at least one or more full ERP implementation lifecycle(s) - Experience with data quality analysis, statistical analysis and/or modelling - Proven experience effectively prioritizing workload to meet deadlines and work objectives - Demonstrated ability to present clearly, succinctly and in a manner that appeals to a wide audience - Superior customer service skills, preferably demonstrated by experience working directly with customers - Ability to adapt to changing environments and pick up new skills quickly - Self-starter with the ability to self-motivate in fast-paced environments - Strong drive for achieving results under pressure - Excellent English written and verbal communication skills - Be fully aligned to our core values

5-9 years In Data Engineering, software development such as ELT/ETL, data extraction and manipulation in Data Lake/Data Warehouse environment Expert level Hands to the following: Python, SQL, PySpark DBT and Apache Airflow Postgres/others RDBMS DevOps, Jenkins, CI/CD Data Governance and Data Quality frameworks Data Lakes, Data Warehouse AWS services including S3, SNS, SQS, Lambda, EMR, Glue, Athena, EC2, VPC etc. Source code control - GitHub, VSTS etc. Mandatory Competencies Data on Cloud - Azure Data Lake (ADL) Python - Python Big Data - PySpark DevOps - CI/CD DevOps - Jenkins Beh - Communication Data on Cloud - AWS S3 Database - PostgreSQL DevOps - Github At Iris Software, we offer world-class benefits designed to support the financial, health and well-being needs of our associates to help achieve harmony between their professional and personal growth. From comprehensive health insurance and competitive salaries to flexible work arrangements and ongoing learning opportunities, were committed to providing a supportive and rewarding work environment. Join us and experience the difference of working at a company that values its employees success and happiness.

Job Description: Key Responsibilities: Design and implement data migration strategies using Syniti tools (DSP, ADM, Collect, Construct, etc. ). Analyze legacy data and map it to target ERP systems. Develop and execute ETL processes for data extraction, transformation, and loading. Create and maintain data load programs and migration templates. Perform data profiling, validation, and reconciliation to ensure data quality. Collaborate with business stakeholders and technical teams to resolve data issues. Document migration processes and maintain compliance with data governance standards. Mentor junior consultants and contribute to knowledge sharing. Required Skills & Qualifications: Bachelor s degree in Computer Science, Information Systems, or related field. 4-7 years of experience in data migration or ETL projects. Strong hands-on experience with Syniti Data Migration tools. Proficiency in SQL, stored procedures, and database management. Experience with SAP or other ERP systems is a plus. Strong analytical, problem-solving, and communication skills. Ability to work independently and in global teams. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We re committed to fostering an inclusive environment where everyone can thrive. 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 .

Some careers shine brighter than others If you re looking for a career that will help you stand out, join HSBC, and fulfil your potential Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further HSBC is one of the largest banking and financial services organizations 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 realize their ambitions We are currently seeking an experienced professional to join our team in the role of Senior Lead Consultant Specialist In this role you will: Leadership and Management: Mentor a team of data engineers, providing guidance and support to ensure high performance and professional growth. Foster a collaborative and innovative team environment Data Platform Strategy: Develop and implement the data platform strategy aligned with the organizations objectives. Evaluate and recommend new technologies and tools to enhance the data platform capabilities. Manage data integration processes, including ETL (Extract, Transform, Load) pipelines, to ensure seamless data flow across systems. Optimize data ingestion and processing workflows for efficiency and performance. Data Quality and Governance: Implement data quality standards and governance policies to ensure data accuracy, consistency, and security. Collaboration and Stakeholder Management: Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions. Requirements To be successful in this role, you should meet the following requirements: Bachelors or Masters degree in Computer Science, Information Technology, Data Science, or a related field. Proven experience in leading data engineering teams and managing data platforms. Proficiency in data integration tools and technologies (e. g. , Apache Kafka, Apache NiFi, Talend). Experience with cloud-based data platforms (e. g. , AWS, Azure, Google Cloud). Strong understanding of data governance, data quality, and data security principles. Excellent problem-solving skills and the ability to work in a fast-paced environment. Strong communication and interpersonal skills. You ll achieve more when you join HSBC wwwhsbccom/careers HSBC is 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 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

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

About the job Red Hat IT Platforms is looking for a Principal Product Manager to join our team in Bengaluru, India. In this role, you will elevate Red Hats data-driven culture and execution by defining and delivering on our Analytics and Master Data Management platform roadmaps. You will work closely with various business value streams, along with your engineering team, to design, build, deploy, and optimize data platform solutions that empower associates and allow Red Hat to be an AI-first organization. What you will do Define the roadmap for the platform and dataset. Work with business teams to gather needs and build a strategy that maximizes our impact with data and AI Identify gaps in resourcing or key points of friction in business processes, and make recommendations that address those issues Ensure that the platform elegantly delivers on the capabilities its users require, while implementing the governance and compliance controls necessary for the responsible handling of enterprise business data What you will bring Exceptional product management skills and discipline that leads to clarity for the teams doing the work Experience with delivering large systems to internal customers Experience with Data Management / Master Data Management practices and principles Strong opinions and perspectives that you kindly debate, defend, or change to ensure that the entire team moves as one Deep empathy for users of your products, leading to a constant focus on removing friction, increasing adoption, and delivering business results Prunes and prioritizes work in order to maximize your contributions and impact Bias for action and leading by example Experience or knowledge of open source or inner source development and processes Experience with internal enterprise product management and platform transformation projects About Red Hat Red Hat is the worlds leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hats culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com . General inquiries, such as those regarding the status of a job application, will not receive a reply.

Hiring ETL SQL Database Developer (4–9 Yrs) – Mumbai. Design, develop & optimize ETL pipelines, write advanced SQL queries, and manage large-scale databases. Experience with tools like Informatica,SSIS required. Strong DB performance tuning skills.

The Data Scientist III is a subject matter expert in data analytics and business analysis They perform analysis, design, development and optimization activities in support of data quality and data validation They also play a critical role in defining and creating the future state of data and analytics in the enterprise Team members are expected to build trust and relationships through effective communication with both technical and non technical partners within multiple departments to facilitate success A successful individual in this role is a leader who has and imparts business knowledge, data analytics and business analysis expertise related to the sources and uses of data for business analytics and decisioning

The Analyst, Enterprise Data Office India Data Activation role will support the activation of Critical data elements (as outlined in AEMP 70 Policy) across business units at American Express. This role will also provide support in training, communications, and change management related to data governance across the enterprise. The Analyst will be responsible for: 0-3 years of Power App Experience must Data Governance Ownership: Lead the development, implementation, and maintenance of data governance frameworks, policies, and procedures to ensure data integrity, quality, and compliance across the organization. Project Management: Manage data governance projects from inception to completion, including planning, execution, monitoring, and reporting, ensuring alignment with organizational goals and timelines. Risk Data Expertise: Serve as the subject matter expert on risk data management, identifying potential data risks, and implementing mitigation strategies to safeguard the organizations data assets. Collaboration and Communication: Work closely with data stewards, custodians, and various stakeholders to promote data governance awareness, provide training, and ensure adherence to established data management practices. Data Quality Monitoring: Establish and monitor data quality metrics, facilitating the resolution of data quality issues, and implementing continuous improvement initiatives. Regulatory Compliance: Ensure that data governance practices comply with relevant regulations and standards, staying abreast of changes in data protection laws and industry best practices. Tool Implementation: Collaborate with IT teams to implement and manage data governance tools and technologies, such as Collibra, to support data governance activities. Mandatory Skills Required: Expertise in Collibra. Project management skills. Good understanding of Lumi platform. Exposure to RCSA (Risk Control Self-Assessment). Power App Developer Experience. Required Qualifications: Educational Background: Bachelor s degree in Information Management, Computer Science, Business Administration, or a related field. A Master s degree is a plus. Experience: Minimum of 0-3 years of experience in data governance, data management, or related roles, preferably within the financial services industry. Project Management Skills: Proven ability to manage multiple projects simultaneously, with strong organizational and time-management skills. Project Management Professional (PMP) certification is desirable. Data Governance Expertise: In-depth understanding of data governance principles, including metadata management, data lineage, data quality, and data stewardship. Familiarity with the Data Management Body of Knowledge (DMBOK) is advantageous. Risk Management Knowledge: Strong knowledge of risk data management practices, including identifying, assessing, and mitigating data-related risks. Technical Proficiency: Experience with data governance tools (eg, Collibra) and data visualization tools (eg, Tableau, Power BI). Proficiency in SQL and familiarity with database structures are beneficial. Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex data concepts to non-technical stakeholders and influence across all levels of the organization. Analytical Skills: Strong analytical and problem-solving abilities, with a keen attention to detail. Adaptability: Ability to work independently and take initiative with minimal supervision, demonstrating flexibility and resilience in a dynamic environment. Preferred Qualifications: Certifications: Certified Data Management Professional (CDMP) or equivalent certification. Technical Skills: Experience with data integration tools and familiarity with cloud platforms (eg, AWS, Lumi, Cornerstone). Industry Knowledge: Understanding of the financial services industrys regulatory environment and data-related compliance requirements. We back you with benefits that support your holistic we'll-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as we'll as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-we'll-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

Way of working - Remote : Employees will have the freedom to work remotely all through the year. These employees, who form a large majority, will come together in their base location for a week, once every quarter. Position Overview: As a Data Engineer at Swiggy, you will be at the heart of our data-driven approach, collaborating with cross-functional teams to transform raw data into actionable insights. Your role will encompass and Join us as a Data Engineer at Swiggy to contribute significantly to our data ecosystem, drive operational efficiency, and be an integral part of our data-driven journey. Your expertise will play a pivotal role in influencing our strategic decisions and reshaping the food delivery landscape What will you get to do here Join hands with our Data Engineering team to ensure efficient data collection, storage, and processing. Collaborate in designing and optimizing data pipelines for seamless data movement. Work jointly on data architecture decisions to enhance analytics capabilities. Dive into large, complex datasets to create efficient and optimized queries for analysis. Identify bottlenecks and optimize data processing pipelines for improved performance. Implement best practices for query optimization, ensuring swift data retrieval. Contribute to the DataOps framework, automating data processes and enhancing data quality. Implement monitoring and alerting systems to ensure smooth data operations. Collaborate with the team to develop self-serve platforms for recurring analysis. What qualities are we looking for Bachelors or Master s degree in Engineering, Mathematics, Statistics, or a related quantitative field. 2-5 years of data engineering experience. Proficiency (2-5 years) in SQL, R, Python, Excel, etc, for effective data manipulation. Hands-on experience with Snowflake and Spark/Databricks, adept at Query Profiles and bottleneck identification. Apply creative thinking to solve real-world problems using data-driven insights. Embrace a "fail fast, learn faster" approach in a dynamic, fast-paced environment. Exhibit proficient verbal and written communication skills. Thrive in an unstructured environment, demonstrating attention to detail and self-direction. Foster collaboration and partnerships across functions.

Education Required: Bachelors / Masters / PhD: Bachelor s or master s in computer science, Statistics, Mathematics, Data Science, Engineering Must have skills: visualization tools such as Power BI, Tableau, or Looker, ETL, Azure data factory, SQL Stored procedure, performance tuning Good to have skills: statistical modeling, predictive analytics, or machine learning Expectation : We are seeking a detail-oriented and analytical experienced Data Engineer. The ideal candidate will be responsible for collecting, analyzing, and interpreting large datasets across various data sources to drive business decisions and strategy. This role requires strong technical skills, a passion for data, and the ability to communicate actionable insights through reporting. Collect, clean, and validate data from various sources to ensure accuracy and consistency. Analyze large datasets to identify trends, patterns, and actionable insights that support business objectives. Develop and maintain dashboards and reports using visualization tools such as Power BI, Tableau, or Looker. Collaborate with stakeholders to understand business needs and translate them into data-driven solutions. Present findings, insights, and recommendations to both technical and non-technical audiences in a clear and concise manner. Monitor key performance indicators (KPIs) and provide regular updates to business units. Support data governance and data quality initiatives to enhance overall data integrity. Preferred Skills: Experience in statistical modeling, predictive analytics, or machine learning. Familiarity with cloud-based data platforms (eg, Azure). Ability to work in a fast-paced environment and manage multiple priorities

4-6 years of experience in data migration, data integration, and ETL development. Hands-on experience with both relational (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL (MongoDB, Cassandra, DynamoDB) databases Experience in Google BigQuery for data ingestion, transformation, and performance optimization. Proficiency in SQL and scripting languages such as Python or Shell for custom ETL logic. Familiarity with ETL tools like Talend, Apache NiFi, Informatica, or AWS Glue. Experience working in cloud environments such as AWS, GCP, or Azure. Solid understanding of data modeling, schema design, and transformation best practices. Preferred Qualifications: Experience in BigQuery optimization, federated queries, and integration with external data sources. Exposure to data warehouses and lakes such as Redshift, Snowflake, or BigQuery. Experience with streaming data ingestion tools like Kafka, Debezium, or Google Dataflow. Familiarity with workflow orchestration tools such as Apache Airflow or DBT. Knowledge of data security, masking, encryption, and compliance requirements in migration scenarios. Soft Skills: Strong problem-solving and analytical mindset with high attention to data quality. Excellent communication and collaboration skills to work with engineering and client teams. Ability to handle complex migrations under tight deadlines with minimal supervision

The Assistant Manager will play a critical role in supporting the Manager/Senior Manager by delivering accurate, timely, and insightful management information to a variety of stakeholders including Global Finance Corporate teams, Regional and Hotel users, and the Finance Decision Support teams. They will have a proactive mindset, strong analytical capabilities, and a passion for leveraging new technologies including AI tools to drive efficiency and add value through smarter ways of working. Key Accountabilities 1.Ensure timely and accurate loading of data from multiple sources into the reporting systems or dashboards. Applications include those used for IHG and Hotel Management reporting of actuals, budgets, forecast as we'll as those used for other analytical needs. 2.Validate incoming data for completeness, consistency, and accuracy according to defined rules and business logic. 3.Responsible for organization/outline changes and coordination of those changes with Finance Decision Support, along with SOX/Audit controls and sign-off. 4.Perform regular data audits to maintain data integrity and identify anomalies. 5.Assist in the automation and streamlining of regular reports using tools like GCP, Kyvos, Tableau etc 6.Translate business requirements into meaningful reports and insights for decision-makers. 7.Act as the first point of contact for stakeholders (internal customers) using reporting tools and data outputs. 8.Provide training, guidance, and troubleshooting support on tools 9.Gather feedback and requirements from users to improve existing tools and reporting processes 10.Identify opportunities for process improvements in data handling, validation, and reporting workflows 11.Collaborate with Production Support/GT Development teams to implement enhancements and ensure data infrastructure supports business needs 12.Maintain clear documentation of data sources, processes, validation rules, and issue logs 13.Communicate technical concepts and data insights in a clear, business-friendly manner 14.Ensure delivery of high-quality, accurate data and reports within agreed timelines. 15.Proactively flag issues that might delay delivery and suggest mitigation strategies 16.Train/coach less experienced team members of Data Solution team. 17.Responsible for global passback adjustments in Essbase. 18.Assist in the year end application rollover process and on other global projects as required. Key Skills & Experiences Degree in Accounting, Finance, Business, or international equivalent Experience 5+ years experience along with team handling in a management accounting or reporting position, preferably including hotel reporting and forecasting Technical Skills and Knowledge Experience in data extraction, transformation, and loading (ETL) from various systems or databases. Proven track record of working with large data sets, identifying data quality issues, and applying validation rules. Familiarity with data governance, data accuracy, and reconciliation processes. Exposure to KPIs, metrics, and performance dashboards, preferably in finance Strong analytical skills to derive insights from data and highlight issues Advanced Excel skills (pivot tables, lookups, macros, Power Query). Exposure to ERP systems (egOracle, PeopleSoft) and data warehousing concepts is a plus Experience supporting internal stakeholders with reporting tools and data-related queries Ability to translate business requirements into reporting logic and data models Strong communication skills to explain data issues or report logic to non-technical users Practical knowledge of automating reports and reducing manual intervention in data handling processes. Experience in identifying process inefficiencies and implementing improvements using tools or scripting. Familiarity with key metrics used in that function can help tailor reports more effectively