2443 Data Quality Jobs - Page 8

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

The Sr. Manager of Enterprise Data Governance Oversight and Monitoring will be responsible for monitoring and reporting on compliance for our data governance program to ensure that our Federated Data Offices adhere to our policies and standards. The Sr. Manager will be responsible for: Monitoring & reporting first-line adherence to data governance and other policy and standard requirements Ongoing monitoring of and Monitoring & reporting first-line adherence to data governance and other policy and standard requirements Ongoing monitoring of reporting on Data Quality Controls, including aggregation of results, threshold breaches, escalation needs. Ongoing monitoring of and reporting on Data Quality Issues at each stage of the issue lifecycle, including aggregation of results, timeline breaches, escalation needs. Monitor remediation of gap and observation in policy compliance. Track and report metrics for key risk indicators (inherent and residual risk). In-depth analysis of data quality issues to surface themes that would benefit from common solutions and/or process adjustments. Collaborate across EDG to ensure that FDOs are meeting documentation requirements and publishing necessary program health reports. Providing support in training, communications, and change management related to Data Governance across the enterprise. Support compliance with Data Governance, Data Management, and other policies. Qualification Requirements: A strong strategic approach with 5+ years prior experience developing, implementing, and updating data governance policies and standards. Experience with risk assessments and metrics aggregation and reporting Knowledge of regulations such as BCBS-239, GDPR, CCPA, and others Proven track record of driving results in a fast-paced environment often with significant ambiguity. Excellent communication skills with a demonstrated ability to engage, influence, and encourage partners and stakeholders to drive collaboration and alignment. High degree of organization, individual initiative and personal accountability and resiliency. Bachelors degree required; Master s degree or equivalent professional certification in data risk management, internal audit, operational risk, etc preferred. 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

ERGO Technology & Services India (ET&S India) is the newest part of the ERGO Technology & Services Management the main outsourcing provider of IT for ERGO worldwide. It is backed up by ERGO an 18 Billion Euro Organization with presence in 15+ countries has a charter to provide technology services to the ERGO countries in multiple countries. ET&S India will be fueling the Digital aspirations of ERGO world in years to come. With ambitious plan to build a large offshore development centers in multiple cities of the country ETS India shall be at the forefront in developing capabilities and providing career opportunities to employees in diverse technologies across domains of Insurance. Key Competencies & Skills required Technical: The Technical Lead specifies, designs, codes and takes responsibility for the IFRS17 Data Quality Solution based on Informatica DQ. Selects appropriate design standards, methods and tools, consistent with agreed enterprise and solution architectures and ensures they are applied effectively and along standard. Reviews systems designs to ensure selection of appropriate technology, efficient use of resources, and integration of multiple systems and technology. Sets policy and standards for solution development projects. Promotes benefits of addressing security issues. Identifies, proposes, and initiates software/ process improvements within the organization, devising solutions. Supports the design of system architecture and related interfaces. Coaches Application Developers in software development capabilities. Steers and controls the integration build, accepts software modules from software developers, and produces software builds for loading into the target environment. 2st & 3nd level IT support Technical: Informatica (PowerCenter, CDC, DI, DQ) and SQL Management Studio. MS-SQL Experience handling Big Data IT technical background & mainframe programming experience Experience in all components of software delivery with concentration in requirements, design and development. Quick starter to troubleshoot/resolve incidents and business support items Strong analytical and problem solving skills Ability to multi-task effectively Perform application support tasks like: systems support, security reviews, & maintenance tasks Testing experience Ability to learn new technologies and methodologies quickly Nice to have: VBA, Java , Python Good experience with HP-ALM testing tool in both Manual and Automation Testing Jira and Confluence experience. Experience in financial sector or banking sector. Behavioral Skills: Professional English skills (speaking/writing). Interpersonal and communication skills for working in a global environment Experience working with technical support team(s). Being customer oriented Willingness to learn and quickly adapt to changing requirements Proactive approach to identifying issues and presenting solutions and options Prioritize business impact and urgency Ability to learn new technology and methodology quickly. Soft Skills: Good knowledge to handle Application Support and Maintenance projects with different skill sets. Good analytic skills and problem solving skills in short span of time. Communication and presentation skills. Ability to work in a team Experience in agile Methods" flexibility

Date 20 Jun 2025 Location: Bangalore, KA, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Could you be the full-time Documentation Management Specialist in our dynamic Project/Program team were looking for Your future role Implement Documentation Management within the Project/Program/Bid organization (in Leading Unit and coordinate in all Participating Units). Monitor complete Project/ Program/Bid Documentation and execute Documentation Life Cycle with the Documentation Master List (DML) Support the Project/Program/Bid Documentation Manager (PrDM) of the relevant Project/Program/Bid Check internal validation (AVVA) of documents before submission to Customer. Accountable that the Project Documentation is properly archived Proactive role in the Project / Program / Bid in terms of implementation of documentation culture. Key accountabilities Applies the rules defined in the Documentation Management Plan (DMP), Metadata Controls documentation standardstemplate, reference, version, Define and Deploy the Documentation numbering system Define and Deploy the Project Working documents single repository (in Teams, Sharepoint, etc...) Controls contractual documentation submissions according to customer requirements, Assigns reference, when needed, to the documentation produced and controls the electronic files identification and customer identification (if relevant), Checks the identification used by entities and partners, Records in the EDMS all technical and management documentation from external entities, Makes sure internal validation of Project/Program documents (AVVA) is done before submission to Customer . Completes/updates the DML (Documentation Master List) with data collected during the project and prepares the CDL. Prepares and records documents submission to Customer/Partners, Sends documentation according to internal distribution list, Provides inputs related to documentation dashboards and reports Follows Customer and stakeholders documentation status in DML. Updates the document contractual templates according to contractual requirements, In applying internal rules/instructions, records the Document translation and physical archiving. Prepares and participates in sub-system Gate Review and coordinates with the PrDM. Suggests improvements of the activity (REX on documentation issuesprocess, organisation) Performance measurements Documentation Management KPIs (Quality, Delivery of in contractual documentation in due time) Perform overview about documentation milestones in general, Billing milestones, penalties Adherence to process, measured by process inspections Important to note As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

Key Responsibilities: ETL Development and Maintenance Design, develop, and implement ETL processes using SSIS to support data integration and warehousing requirements. Maintain and enhance existing ETL workflows to ensure data accuracy and integrity. Collaborate with data analysts, data architects, and other stakeholders to understand data requirements and translate them into technical specifications. Extract, transform, and load data from various source systems into the data warehouse. Perform data profiling, validation, and cleansing to ensure high data quality. Monitor ETL processes to ensure timely and accurate data loads. Write and optimize complex SQL queries to extract and manipulate data. Work with SQL Server to manage database objects, indexes, and performance tuning. Ensure data security and compliance with industry standards and regulations. Business Intelligence and Reporting: Develop and maintain interactive dashboards and reports using Power BI or SSRS. Collaborate with business users to gather requirements and create visualizations that provide actionable insights. Integrate Power BI with other data sources and platforms for comprehensive reporting. Scripting and Automation: Utilize Python for data manipulation, automation, and integration tasks. Develop scripts to automate repetitive tasks and improve efficiency. Insurance Domain Expertise: Leverage knowledge of insurance industry processes and terminology to effectively manage and interpret insurance data. Work closely with business users and stakeholders within the insurance domain to understand their data needs and provide solutions. Qualifications Required Skills and Qualifications: Technical Skills: Proficient in SQL and experience with SQL Server. Strong experience with SSIS for ETL development and data integration. Proficiency in Python for data manipulation and scripting. Experience with Power BI/SSRS for developing interactive dashboards and reports. Knowledge of data warehousing concepts and best practices. Domain KnowledgeSolid understanding of insurance industry processes, terminology, and data structures. Experience working with insurance-related data, such as policies, claims, underwriting, and actuarial data. Additional Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Job Location

Experience Required : 7+ Years. Job Summary : We are looking for a highly skilled Data Engineer / Data Modeler with strong experience in Snowflake, DBT, and GCP to support our data infrastructure and modeling initiatives. The ideal candidate should possess excellent SQL skills, hands-on experience with Erwin Data Modeler, and a strong background in modern data architectures and data modeling techniques. Key Responsibilities : - Design and implement scalable data models using Snowflake and Erwin Data Modeler. - Create, maintain, and enhance data pipelines using DBT and GCP (BigQuery, Cloud Storage, Dataflow). - Perform reverse engineering on existing systems (e.g., Sailfish/DDMS) using DBeaver or similar tools to understand and rebuild data models. - Develop efficient SQL queries and stored procedures for data transformation, quality, and validation. - Collaborate with business analysts and stakeholders to gather data requirements and convert them into physical and logical models. - Ensure performance tuning, security, and optimization of the Snowflake data warehouse. - Document metadata, data lineage, and business logic behind data structures and flows. - Participate in code reviews, enforce coding standards, and provide best practices for data modeling and governance. Must-Have Skills : - Snowflake architecture, schema design, and data warehouse experience. - DBT (Data Build Tool) for data transformation and pipeline development. - Strong expertise in SQL (query optimization, complex joins, window functions, etc.) - Hands-on experience with Erwin Data Modeler (logical and physical modeling). - Experience with GCP (BigQuery, Cloud Composer, Cloud Storage). - Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver. Good To Have : - Experience with CI/CD tools and DevOps for data environments. - Familiarity with data governance, security, and privacy practices. - Exposure to Agile methodologies and working in distributed teams. - Knowledge of Python for data engineering tasks and orchestration scripts. Soft Skills : - Excellent problem-solving and analytical skills. - Strong communication and stakeholder management. - Self-driven with the ability to work independently in a remote setup.

Close Analytics Engineer Job Description We are looking for a skilled and motivated Analytics Engineer to join our Data & Analytics team. This role focuses on building robust backend solutions that enable effective reporting and process mining solutions. The ideal candidate will have strong expertise in SQL development, Python, data modelling, and experience working with Celonis software. You will play a critical role in transforming raw data into well-structured datasets, pipelines, and models that empower data-driven decision-making across the organization. Design, develop, and maintain scalable backend data pipelines to support Celonis and Power BI reporting. Build and optimize SQL queries , stored procedures, and views for efficient ETL processes. Develop data transformation scripts and automation tools using Python . Manage data ingestion and transformation processes in Celonis , ensuring optimal data model performance. Collaborate with business stakeholders and BI developers to gather reporting requirements and develop reliable data models. Monitor data pipeline performance and resolve data quality issues to ensure accuracy and consistency. Maintain comprehensive documentation of data processes, logic, and architecture. Work closely with cross-functional teams including data scientists, analysts, and business units. Stay updated with industry trends and best practices in data engineering , process mining , and BI reporting . Job Specification Bachelor s degree in Computer Science , Information Systems , Engineering , or related field. Minimum 3+ years of experience in data engineering, backend development, or analytics engineering. Proficiency in SQL and experience working with complex data structures and large datasets. Familiarity with Python or other scripting languages for data processing. Hands-on experience with Celonis (backend/data model development, data ingestion, transformations). Strong understanding of ETL processes , data modeling , and data warehousing . Knowledge of Power BI architecture and data integration best practices. Excellent problem-solving , attention to detail , and collaboration skills . Ability to work independently and in a team environment . Preferred Qualifications: Experience with cloud data platforms (e.g., Azure , AWS , GCP ). Understanding of business processes and process mining concepts . Experience with version control systems (e.g., Git ).

Job Title: OPSCS / Client Data Job Code: 10187 Country: IN City: Mumbai Skill Category: Operations Description: Nomura Overview: Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com . Nomura Services, India supports the group s global businesses. With worldclass capabilities in trading support, research, information technology, financial control, operations, risk management and legal support, the firm plays a key role in facilitating the group s global operations. At Nomura, creating an inclusive workplace is a priority. Our approach to inclusion encompasses a variety of initiatives, including sensitization campaigns, implementing conducive policies & programs, providing infrastructure support and engaging in community events. Over time, we have made meaningful progress in these areas, and this commitment has been wellrecognized across the industry. We are proud recipients of the prestigious Top 10 Employers award by the India Workplace Equality Index (IWEI), IWEI Gold Employer of Choice awards, India CSR Leadership Award 2024 for Holistic Village Development Program and the YUVA Unstoppable Changemaker Awards. Divisional Overview: The Operations division provides the support and control infrastructure that enables the Firm to develop and deliver financial products throughout the world. Working with the Sales, Trading and Information Technology Divisions, Operations professionals are responsible for the management and execution of transactions in a manner which maximizes profitability and minimizes risk. Our division is responsible for the management and execution of millions of securities transactions on a daily basis. Our responsibilities include trade processing, confirmation, settlement, fails management, margin, asset servicing, risk management, reference data management and various other client services. In partnership with sales, trading, prime services, information technology and other teams from across the bank, we apply a continual focus on improving productivity and efficiency, while seeking new and innovative ways to support our clients changing needs. Business Overview: Entity Data team is responsible for data maintenance, development and execution of architectures, establishing policies, practices and procedures to manage the Data/Information life cycle needs of an enterprise in an effective manner. The Reference Data function is responsible for the day to day processing of all data in the Reference Data stores and associated downstream systems. It is responsible for ensuring control over the related processes and the quality of data within these systems. Data accuracy and reliability is essential for every financial organization as it is the key driver for all its business operations including trade execution, risk management or compliance reporting. Vision of CSG team is to Deliver Quality data, service & value. Position Specifications: Corporate Title Analyst Functional Title Analyst Experience 13 years Qualification Graduate/MBA Requisition No. Role & Responsibilities: Setup and maintain Client static data in Reference Data applications and other upstream/downstream systems. Ensure data quality and accuracy of execution. Ensure all tasks/activities are processed as per the SLA. Maintain a good control environment adhering to the procedures and ensure that the team operates within the guidelines. Adhere to Control Standards and Compliance guidelines for static maintenance Mind Set: Mandatory Desired Domain Sound knowledge on financial industry Strong ability to work with in teams Excellent written and verbal communication skills Good interpersonal skills necessary to work effectively with global stakeholders. Good organizational skills to support multiple lines of business which is time sensitive Technical Solid understanding of Reference Data i.e. Entity data including client account set up process, Client Hierarchy maintenance, Standard settlement instructions set up and client call back process. Basic understanding of middle office booking and settlements flows Nomura Leadership Behaviours: Leadership Behaviours Description Element Exploring Insights & Vision Comprehensively analyse the nature of the problems we face and set our focus toward the future vision Gather Intelligence Create a vision Identify an issue Making Strategic Decisions Analyse options and feasibility to resolve issues, in making judgments and recommendations Identify countermeasures Assess feasibility Make a judgment Inspiring Entrepreneurship in People Promotes the vision and goals to others in such a way that inspires commitment and independent contributions Influence Inspire Commit Elevating Organizational Capacity Maximize organizational productivity through leadership development and engagement Have an ownership in own development Support other s growth Encourage organizational growth Inclusion Respect diverse perspectives and promote psychological safety and the creation of a risk culture Foster psychological safety Encourage the active participation of all talent Foster a risk culture