2443 Data Quality Jobs - Page 40

Career Category Information Systems Job Description Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgens data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. You will leverage domain, technical and business process expertise to provide exceptional support of Amgen s data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles Responsibilities: Responsible for the data governance and data management framework implementation for the General and Administrative operations (GA) domain of the biopharma lifecycle. Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e. g. , MDM, Enterprise Data Fabric, etc. ) define the specifications shaping the development and implementation of data foundations . Build strong relationships with key business leads and partners to ensure their needs are being met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the General and Administrative operations (GA) domain of the biopharma lifecycle. In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics In depth experience of working with or supporting systems used to data governance framework. E. g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e. g. , SQL, Excel, Python, or SAS) Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 Years of Experience .

Career Category Information Systems Job Description Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgens data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. You will leverage domain, technical and business process expertise to provide exceptional support of Amgen s data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles Responsibilities: Responsible for the data governance and data management framework implementation for the Commercialization domain of the biopharma lifecycle. Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e. g. , MDM, Enterprise Data Fabric, etc. ) define the specifications shaping the development and implementation of data foundations . Build strong relationships with key business leads and partners to ensure their needs are being met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Commercialization domain of the biopharma lifecycle. In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics In depth experience of working with or supporting systems used to data governance framework. E. g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e. g. , SQL, Excel, Python, or SAS) Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 years of experience .

Career Category Information Systems Job Description Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgens data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. You will leverage domain, technical and business process expertise to provide exceptional support of Amgen s data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles Responsibilities: Responsible for the data governance and data management framework implementation for the Development domain of the biopharma lifecycle. Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e. g. , MDM, Enterprise Data Fabric, etc. ) define the specifications shaping the development and implementation of data foundations . Build strong relationships with key business leads and partners to ensure their needs are being met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Development domain of the biopharma lifecycle. In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics In depth experience of working with or supporting systems used to data governance framework. E. g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e. g. , SQL, Excel, Python, or SAS) Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 years of experience .

Career Category Information Systems Job Description Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgens data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. You will leverage domain, technical and business process expertise to provide exceptional support of Amgen s data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles Responsibilities: Responsible for the data governance and data management framework implementation for a given domain of expertise (Research, Development, Supply Chain, etc. ). Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Create and maintain privacy policies and procedures to protect sensitive data and ensure compliance. Conduct regular privacy risk assessments and audits to identify and mitigate potential risks as required Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains including GDPR, CCPA, and other relevant legislations. Jointly with Technology teams, business functions, and enterprise teams (e. g. , MDM, Enterprise Data Fabric, etc. ) define the specifications shaping the development and implementation of data foundations . Build strong relationships with key business leads and partners to ensure their needs are being met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in a domain (e. g. , Research, Clinical Trials, Commercial, etc. ) In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Strong understanding of data protection laws and regulations, including GDPR, CCPA, and other relevant legislations. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics In depth experience of working with or supporting systems used to data governance framework. E. g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e. g. , SQL, Excel, Python, or SAS) 3-5 years of experience in data privacy, compliance, or a related field. Soft Skills: Integrity: Commitment to maintaining the highest ethical standards and protecting confidential information. Adaptability: Ability to adapt to changing regulations and emerging privacy challenges. Proactivity: Self-motivated with a proactive approach to identifying and addressing privacy issues. Leadership: Strong leadership skills and the ability to influence and drive change within the organization. Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 years of experience .

Career Category Information Systems Job Description Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgens data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. You will leverage domain, technical and business process expertise to provide exceptional support of Amgen s data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles Responsibilities: Responsible for the data governance and data management framework implementation for a given domain of expertise (Research, Development, Supply Chain, etc. ). Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Develop and implement data quality frameworks. Design and enforce standards for data quality and governance to ensure consistent, accurate, and reliable data. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. data quality best practices and tools for assigned domains. Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains. Collaborate with stakeholders and work closely with data stewards, analysts, IT, and business units to understand data requirements and address quality concerns. Jointly with Technology teams, business functions, and enterprise teams (e. g. , MDM, Enterprise Data Fabric, etc. ) define the specifications shaping the development and implementation of data foundations . Build strong relationships with key business leaders and partners to ensure their needs are being met. Lead data quality initiatives aimed at improving data quality, including data cleansing, enrichment, and validation processes. Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in a domain (e. g. , Research, Clinical Trials, Commercial, etc. ). In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics In depth experience of working with or supporting systems used to data governance framework. E. g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions. Proficiency in data analysis and quality tools (e. g. , SQL, Excel, Python, or SAS) Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) 3-5 years of experience in data quality management, data governance, or related roles. Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 years of experience .

. Responsible for designing, building and overseeing the deployment and operation of technology architecture, solutions and software to capture, manage, store and utilize structured and unstructured data from internal and external sources. Establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required. Develops technical tools and programming that leverage artificial intelligence, machine learning and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis. Creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements. Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs. Work with data modelers/analysts to understand the business problems they are trying to solve then create or augment data assets to feed their analysis. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. May lead teams or projects and shares expertise. Job Description Position: Data Engineer 4 Experience: 8 years to 11. 5 years Job Location: Chennai Tamil Nadu Job Description: Requirements Databases: Deep knowledge of relational databases (e. g. , PostgreSQL, MySQL) and NoSQL databases (e. g. , MongoDB, Cassandra, Couchbase). ( MUST) Big Data Technologies: Experience with, Spark, Kafka, and other big data ecosystem tools. (NICE TO HAVE) Cloud Platforms: Experience with cloud services such as AWS, Azure, or Google Cloud Platform, with a particular focus on data engineering services . ( NICE TO HAVE ) Version Control: Experience with version control systems like Git. ( MUST) CI/CD: Knowledge of CI/CD pipelines for automating development and deployment processes. (MUST) Proficiency in Elasticsearch and experience managing large-scale clusters. ( MUST) Hands-on experience with containerization technologies like Docker and Kubernetes. (MUST docker) Strong programming skills in scripting languages such as Python, Bash, or similar. ( NICE to HAVE) Key Responsibilities Design, develop, and maintain scalable data pipelines and infrastructure. Ensure compliance with security regulations and implement advanced security measures to protect company data. Implement and manage CI/CD pipelines for data applications. Work with containerization technologies (Docker, Kubernetes) to deploy and manage data services. Optimize and manage Elasticsearch clusters for log ingestion , and tools such as Logstash, fluent. d , promtail, used to forward logs to Elastic Istance or other Log ingestion Tool . ( Loki+ Grafana). Collaborate with other departments (e. g. , Data Science, IT, DevOps) to integrate data solutions with existing business systems. Optimize the performance of data pipelines and resolve data integrity and quality issues. Document data processes and architectures to ensure transparency and facilitate maintenance. Monitor industry trends and adopt best practices to continuously improve our data engineering solutions. Core Responsibilities Develops data structures and pipelines aligned to established standards and guidelines to organize, collect, standardize and transform data that helps generate insights and address reporting needs. Focuses on ensuring data quality during ingest, processing as well as final load to the target tables. Creates standard ingestion frameworks for structured and unstructured data as well as checking and reporting on the quality of the data being processed. Creates standard methods for end users / downstream applications to consume data including but not limited to database views, extracts and Application Programming Interfaces. Develops and maintains information systems (e. g. , data warehouses, data lakes) including data access Application Programming Interfaces. Participates in the implementation of solutions via data architecture, data engineering, or data manipulation on both on-prem platforms like Kubernetes and Teradata as well as Cloud platforms like Databricks. Determines the appropriate storage platform across different on-prem (minIO and Teradata) and Cloud (AWS S3, Redshift) depending on the privacy, access and sensitivity requirements. Understands the data lineage from source to the final semantic layer along with the transformation rules applied to enable faster troubleshooting and impact analysis during changes. Collaborates with technology and platform management partners to optimize data sourcing and processing rules to ensure appropriate data quality as well as process optimization. Creates and establishes design standards and assurance processes for software, systems and applications development to ensure compatibility and operability of data connections, flows and storage requirements. Reviews internal and external business and product requirements for data operations and activity and suggests changes and upgrades to systems and storage to accommodate ongoing needs. Develops strategies for data acquisition, archive recovery, and database implementation. Manages data migrations/conversions and troubleshooting data processing issues. Understands the data sensitivity, customer data privacy rules and regulations and applies them consistently in all Information Lifecycle Management activities. Identifies and reacts to system notification and log to ensure quality standards for databases and applications. Solves abstract problems beyond single development language or situation by reusing data file and flags already set. Solves critical issues and shares knowledge such as trends, aggregate, quantity volume regarding specific data sources. Consistent exercise of independent judgment and discretion in matters of significance. Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary. Other duties and responsibilities as assigned. Employees at all levels are expected to: Understand our Operating Principles; make them the guidelines for how you do your job. Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences. Win as a team - make big things happen by working together and being open to new ideas. Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers. Drive results and growth. Respect and promote inclusion diversity. Do whats right for each other, our customers, investors and our communities. Disclaimer:This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. Thats why we provide an array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the benefits summary on our careers site for more details. Education Bachelors Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Certifications (if applicable) Relevant Work Experience 7-10 Years Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

Job Description: Essential Job Functions: Participate in data engineering tasks, including data processing and integration activities. Assist in the development and maintenance of data pipelines. Collaborate with team members to collect, process, and store data. Contribute to data quality assurance efforts and adherence to data standards. Use data engineering tools and techniques to analyze and generate insights from data. Collaborate with data engineers and other analysts on data-related projects. Seek out opportunities to enhance data engineering skills and domain knowledge. Stay informed about data engineering trends and best practices. Basic Qualifications: Bachelors degree in a relevant field or equivalent combination of education and experience Typically, 5+ years of relevant work experience in industry, with a minimum of 2 years in a similar role Proven experience in data engineering Proficiencies in data engineering tools and technologies A continuous learner that stays abreast with industry knowledge and technology Other Qualifications: Advanced degree in a relevant field a plus Relevant certifications, such as Oracle Certified Professional, MySQL Database Administrator a plus 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 .

Title: Power BI Developer Collaborate with all levels of finance organization on reporting requirements for both internal and external customers. Work independently and in partnership with business owners to provide innovative interactive reporting solutions to address a wide range of business needs using Power BI, Power Query, VBA, Cognos and other reporting tools. Transform financial data into visualization charts using Power BI and other reporting tools. Leverage multiple databases to merge and compile information to calculate relevant financial and business performance metrics. Maximize automation of routine tasks and processes using advanced toolsets (Artificial Intelligence or AI , Optical Character Recognition or OCR , Robotic Process Automation or RPA or Bots ). Automate translation and migration of data between different systems (Costpoint, Cobra, EPM, EDW, OnBase). Ensure data quality by identifying and correcting errors, inconsistencies, and missing data to improve accuracy. Create documentation and work instructions for applications and processes, ensure compliance with KBR IT standards and controls. Basic Qualifications: Bachelor s Degree or equivalent in Finance, Accounting, Business Information Technology, Business Analytics, Information Systems or a related field. Proficiency in Power BI, Data Modeling, SQL, VBA, Power Query. Expert understanding of Power BI functionality (reporting, publishing, security, mobile app). Foundational understanding of financial reporting metrics (Revenue, Cost of Goods Sold, Indirect Rate Application, EBIT, Cashflow, DSO, DPO) Working knowledge of project management core concepts (contract types, cost sets, schedule, budgets). Experience with data analysis techniques, data integration, data modeling and data visualization. Familiarity with basic software testing and implementation concepts and methods. Preferred Qualifications: Working knowledge of Costpoint, Cobra, Hyperion (EPM, FCCS), OnBase, EDW, MSD. Capability with alternate programming and reporting tools (DAX, Python or R, Appian, Cognos). Project management Professional (PMP) or EVMS certification.

Some careers shine brighter than others. If you re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Software engineer In this role, you will: Ensure data quality, data governance, and compliance with regulatory requirements. Monitor and optimize data pipeline performance. Troubleshoot and resolve data-related issues promptly. Implement monitoring and alerting systems for data processes. Troubleshoot and resolve technical issues optimizing system performance ensuring reliability. Create and maintain technical documentation for new and existing system ensuring that information is accessible to the team. Implementing and monitoring solutions that identify both system bottlenecks and production issues. Requirements To be successful in this role, you should meet the following requirements: Good communication skills as the candidate need to work with globally dispersed and diversified teams. Flexible attitude - open to learn new technologies based on project requirements. Proficiency in Python/Scala/Bash for data pipeline development and automation Familiarity with CI/CD pipelines for deploying and managing data pipeline. Proven experience building and maintaining scalable data movement pipelines, Good understanding of Hadoop and GCP environments for data storage and data processing Familiarity with ETL tools and distributed data processing frameworks such as Spark Good understanding of scheduling and orchestration tools such as AirFlow or Control-M Good understanding of data principles, data integrity, data best practices etc

Job Summary We are seeking a highly skilled and experienced Senior Business Data Analyst to join our Entitlement and Install Base Master team. You will play a crucial role in driving the Install Base (IB) data strategy and vision. Your deep understanding of Install Base and Renewals business processes will be instrumental in ensuring accurate and efficient management of our Install Base Data. Job Requirements Drive the Install Base data strategy and vision, collaborating with cross-functional teams to define and implement data management processes and standards. Develop a comprehensive understanding of the Install Base and Renewals business, including key metrics, processes, and customer lifecycles. Drive Enterprise projects ensuring alignment with organizational goals and objectives. Collaborate with stakeholders to gather requirements and translate business needs into technical solutions for Install Base data management. Collaborate with cross-functional teams to define and implement data governance policies and procedures. Perform in-depth data analysis and validation to identify trends, patterns, and insights that drive business decision-making. Collaborate with IT teams to enhance data systems and tools supporting Install Base data management, ensuring data quality and accessibility. Provide guidance and support to cross-functional teams on Install Base data-related matters, acting as a subject matter expert. Identify opportunities for process improvements and automation to streamline Install Base data management and enhance operational efficiency. Stay up-to-date with industry trends and best practices in Install Base and Renewals business processes and data management. Coach and mentor team members to foster their professional growth and ensure smooth operations, promoting a collaborative and high-performing environment. Education 8+ years of experience as a Business Analyst, with a strong focus on Install Base and Renewals business processes. Proven track record of driving data strategy and vision for Install Base. Expertise in SQL querying and experience in working with complex relational databases. Proficiency in data analysis and manipulation techniques, including data cleansing, transformation, and validation. In-depth knowledge of Install Base and Renewals business processes, including customer lifecycles, product entitlements, and renewals workflows. Strong problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Excellent communication and collaboration skills, with the ability to work effectively with stakeholders at all levels. Detail-oriented with a focus on data accuracy and quality. Self-motivated and able to work independently with minimal supervision

ABOUT THE ROLE Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data . This role involves working closely with business stakeholder and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with Data Product Owners, Data Stewards and technology teams to increase the trust and reuse of data across Amgen. Roles & Responsibilities: Responsible for the execution of data governance framework for a given domain of expertise (Research, Development, Supply Chain, etc.). Contribute to the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Contribute to the cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) delivers data foundations. Build strong relationship with key business leads and partners to ensure their needs are met. Functional Skills: Must-Have Functional Skills: Technical skills (Advanced SQL, Python etc) with knowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.) Experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Excellent problem-solving skills and a committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Soft Skills: Excellent analytical skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ability to build business relationships and understand end-to-end data use and needs. Strong verbal and written communication skills Basic Qualifications: Experience with 5 - 9 years of experience in Business, Engineering, IT or related field

3–5 yrs exp in data reconciliations (Catalyst/Keystone to GFIN, GFIN vs HFM), dashboard support (Power BI), audit support, and data governance (MDG). Proactive, Excel-savvy, system-fluent (SAP, HFM, Oracle), with strong analytical and comms skills.

Responsible for (or support) the activities done by the CoE for R&D and ISC in alignment with the MDM Roadmap. Drives R&D and ISC standardized End to End Processes and Tools around MDM to Improve Quality of Delivery, Optimize Cost to Serve, Control & Compliance, and Enhancing Customer Experience. Support the MDS CoE Team Lead to build an R&D and ISC MDM roadmap Support the scope and activities of projects and processes and ensures execution Responsible for (or support) implementing proper preventive/detective controls for the CRUD activities of MDS Operations for R&D and ISC Manage escalation process of R&D and ISC issues or support the resolution of issues raised by business to the CoE Act as a change agent and communicator for MDS, enabling continuous commitment for and awareness of MDM IM touchpoint, driving R&D And ISC master data standardization, organizational and system alignment Continued focus on innovation and standardization to drive down total cost-to-serve and enhance customer satisfaction through improved quality of processes in R&D and ISC domains Foster communication and teamwork within, and across, organizational boundaries Ability to analyze, design and implement the need for MDM in high complexity landscapes, both from system perspective and organizational perspective for the R&D and ISC domains Ability to utilize metrics to identify opportunities for service improvement Excellent analytical and problem solving skills Customer service mindset with excellent customer service skills Ability to build working relationships and foster communication with internal customers within, and across, organizational and geographic boundaries Capable of managing multiple complex assignments including the ability to plan, assign and direct work Capable of managing assignments in a dynamic environment with ever-changing priorities Capable of coaching teams, possibly located remotely Ability to understand change management and drive to resolution with experience in large company in a complex and international environment International mindset and intercultural skills Post-Graduation in Business Administration, Accounting, Finance, Economics, IT or equivalent work experience Minimum 10 years overall experience with 8 years experience in MDM-related function, supporting R&D and ISC SAP experience required, preferably with product domain knowledge Knowledge on master data, transactional data and an understanding of SAP manufacturing data objects i.e. Material Master, Bill of Materials, Production Version, Routing etc. Experience in Product Vision & OMP tooling, or similar, a plus Experience in data quality, data governance and data cleansing is preferred Ability to deliver quality work within strict deadlines while managing multiple priorities and acting with a sense of urgency Very good communication skills must be able to discuss the requirements effectively with stakeholders, the external teams, and with internal teams Continuous Improvement focused, relevant CI certification a bonus Experience in Project Management, with supporting certification preferred Experience in Alteryx, PowerBI and/or dashboarding skills are preferred Advanced interpersonal and cultural skills including fluent English, with any other important language(s) an advantage. Experience in complex IT system environments as key user Experience in complex business environments with multiple stakeholders, including service providers for both IT as organizational/process capabilities Leverages business understanding and its requirements to run MDM operations with the right level of controls in place Keeps deadlines and produces high quality output Fosters a constructive dialogue with support functions and key stakeholders Strong communicator Interested Share cv on dhanashree.chitre@weareams.com

Job Title Atlan Data Governance Implementation Engineer (Hands-On Role) Key Responsibilities Atlan Deployment & Connect Required Skills and Qualifications Minimum 8+ years of relevant experience in data governance, data analytics, or related fields. Strong understanding of data governance principles and best practices. Experience with data profiling, validation, and cleansing tools and techniques. Ability to analyze data, identify patterns, and recommend solutions. Excellent communication and interpersonal skills. Ability to work independently and collaboratively in a team environment. Hands-on experience with relational databases and data warehouses. Knowledge of data quality metrics, dashboards, and reporting. Experience with data governance tools and technologies. Strong analytical and problem-solving skills. Proficient in Python, REST API development, Pandas, and Numpy. Experience with cloud platforms such as Azure, GCP, or AWS. Proficient in SQL and RDBMS. Let me know if you want me to tailor this further for any specific use!

The Opportunity Avantor is looking for a dynamic, forward-thinking, and experienced Associate - Cross Reference EU, who will be responsible for delivering results against some of the most complex business and technology initiatives. This role will be a full-time position based out of IND- Coimbatore. If you are passionate about solving complex challenges and driving innovation - let s talk! We are looking for an associate who can work on data management strategies by investigating and resolving data quality issues in enterprise applications via deletion and merging, while safeguarding against data loss. MAJOR JOB DUTIES & RESPONSABILITIES: Adhere to the workflow instructions/standard operating procedure provided by the business. Extract, analyze, update data, and implement of process improvement. Liaise with both internal and external customers and provide resolution with a customer centric approach. To provide alternatives through Branding Strategy promoting sales of Private label products. To enrich the SAP database by providing alternatives for Competitor codes. Responsible for the content of the cross-reference data in SAP. Building up knowledge of our product portfolio and know the preferred suppliers in different segments. Works with large amounts of data and regularly audits, research, analyzes, makes modifications to, and communicates about all the above tasks. Maintains accurate tracking of open and closed requests to ensure smooth workflow and accurate reporting. Perform other duties as assigned. S, KNOWLEDGE & EXPERIENCE: Results oriented and works with a sense of urgency. Assertive, responsible for his/her own work and has a strong affinity for defining work in deliverables and is willing to commit to deadlines. Focused and versatile team player that is comfortable under pressure. Knowledge of distribution, project management skills, critical thinking, data analysis. Experienced level in MS Excel & knowledge of MS Access, SAP, SQL & basic VBA skills are a plus. Excellent communication skills, oral and written. Results driven, self-sufficient and highly motivate. Must be able to work effectively with all levels of the organization. Must be able to develop excel reports as well as PowerPoint presentations. Knowledge of Avantor systems. Logical thinking and ability to analyse, standardize and improve fragmented processes. Independent thinker Affinity with large data sets and analytics EDUCATIONAL QUALIFICATIONS : EducationBachelor's /master s degree preferably in Biology, Chemistry / Life Science (Microbiology, Biotechnology, Biochemistry) or an equivalent subject. Experience0 to 5 years of experience in manufacturing and distribution environment preferred. Disclaimer: The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer. Why Avantor Dare to go further in your career. Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science. The work we do changes people's lives for the better. It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor. We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world. Apply today! EEO Statement: We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law. If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. 3rd party non-solicitation policy:

Salesforce Developer Req number: R5522 Employment type: Full time Worksite flexibility: Remote Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary Job Description Summary We are seeking an experienced Salesforce Developer to join our team. The ideal candidate will have over 4 years of Salesforce development experience, specializing in creating intuitive and visually outstanding user interfaces and are looking for your next career move, apply now Job Description We are looking for a Salesforce Developer to Design, code, and implement Salesforce applications. This position will be full time and remote. What You’ll Do Meet with Salesforce Lead to determine CRM needs. Develop customized solutions within the Salesforce platform. Design, code, and implement Salesforce applications. Create timelines and development goals. Test the stability and functionality of the application. Troubleshoot and fix bugs. Write documents and provide technical training for Salesforce staff. Maintain the security and integrity of the application software. Participate in after hours support efforts as needed. Salesforce configuration changes, including (but not limited to): Flow, fields, page layouts, record types, custom settings, dashboards and reports. Data management to improve Salesforce data quality, implementing rules and automation as needed. What You'll Need Required: 4 – 5 years of experience with Salesforce. User Support Tickets. Healthcare Experience Experience with Lightning Web Components Preferred: Salesforce Field Service – Not required, but preferred Physical Demands Ability to safely and successfully perform the essential job functions Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

Req ID: 324664 We are currently seeking a Data Architect to join our team in Chennai, Tamil Ndu (IN-TN), India (IN). Key Responsibilities: Develop and articulate long-term strategic goals for data architecture vision and establish data standards for enterprise systems. Utilize various cloud technologies, including Azure, AWS, GCP, and data platforms like Databricks and Snowflake. Conceptualize and create an end-to-end vision outlining the seamless flow of data through successive stages. Institute processes for governing the identification, collection, and utilization of corporate metadata, ensuring accuracy and validity. Implement methods and procedures for tracking data quality, completeness, redundancy, compliance, and continuous improvement. Evaluate and determine governance, stewardship, and frameworks for effective data management across the enterprise. Develop comprehensive strategies and plans for data capacity planning, data security, life cycle data management, scalability, backup, disaster recovery, business continuity, and archiving. Identify potential areas for policy and procedure enhancements, initiating changes where required for optimal data management. Formulate and maintain data models and establish policies and procedures for functional design. Offer technical recommendations to senior managers and technical staff in the development and implementation of databases and documentation. Stay informed about upgrades and emerging database technologies through continuous research. Collaborate with project managers and business leaders on all projects involving enterprise data. Document the data architecture and environment to ensure a current and accurate understanding of the overall data landscape. Design and implement data solutions tailored to meet customer needs and specific use cases. Provide thought leadership by recommending the most suitable technologies and solutions for various use cases, spanning from the application layer to infrastructure. Basic Qualifications: 8+ years of hands-on experience with various database technologies 6+ years of experience with Cloud-based systems and Enterprise Data Architecture, driving end-to end technology solutions. Experience with Azure, Databricks, Snowflake Knowledgeable on concepts of GenAI Ability to travel at least 25%." Preferred Skills: Possess certifications in AWS, Azure, and GCP to complement extensive hands-on experience. Demonstrated expertise with certifications in Snowflake. Valuable "Big 4" Management Consulting experience or exposure to multiple industries. Undergraduate or graduate degree preferred.

Req ID: 326837 We are currently seeking a Offshore Program Manager to join our team in Pune, Mahrshtra (IN-MH), India (IN). Job DutiesOffshore BA / PM Grade 10/11 Seeking an offshore program manager for managing data projects for Australia, India, and APAC region. The individual must be able to guide the offshore project team located in different locations across India. The role involves planning, executing, and overseeing data related projects ensuring on time and within budget delivery. Key roles and responsibilities "“ "¢ Requirement Analysis "“ Act as a bridge between technical development team and onshore team to understand and document the project requirements "¢ Project / Program Management "“ o Project planning, timelines, and resource allocation / management o Managing project risks related to quality, budget, and resources o Team Management "“ Lead and motivate offshore teams including data engineers, QA team, and data SMEs resolving potential issues that may arise during execution o Budget management "“ Manage project financials and budgets o Compliance and standards management o Risk management "“ Identify and mitigate potential risks like scope creep, timelines etc. o Ability to track and monitor project KPIs like defect density, Project health index etc. "¢ Stakeholder communication "“ o Excellent communication and interpersonal skills with onshore / offshore / nearshore teams o Client communication with F2F client meetings and presentations o Ability to communicate with senior management within NTTDATA Preferred Skills and Qualifications "“ "¢ Overall, 12-14 years of work experience "¢ 7+ years of enterprise Technical Program Management experience supporting data projects. "¢ Data lifecycle management "“ Understanding of data lifecycle management principles including data acquisition, ingestion, data quality, data consumption, and data visualization "¢ Exposure to AI and Gen AI fundamental concepts "¢ 7+ years of experience with Agile and Waterfall methodologies "¢ Ability to travel at least 25% "¢ Graduate degree or equivalent combination of education and work experience. "¢ Undergraduate or Graduate degree preferred Minimum Skills RequiredOffshore BA / PM Grade 10/11 Seeking an offshore program manager for managing data projects for Australia, India, and APAC region. The individual must be able to guide the offshore project team located in different locations across India. The role involves planning, executing, and overseeing data related projects ensuring on time and within budget delivery. Key roles and responsibilities "“ "¢ Requirement Analysis "“ Act as a bridge between technical development team and onshore team to understand and document the project requirements "¢ Project / Program Management "“ o Project planning, timelines, and resource allocation / management o Managing project risks related to quality, budget, and resources o Team Management "“ Lead and motivate offshore teams including data engineers, QA team, and data SMEs resolving potential issues that may arise during execution o Budget management "“ Manage project financials and budgets o Compliance and standards management o Risk management "“ Identify and mitigate potential risks like scope creep, timelines etc. o Ability to track and monitor project KPIs like defect density, Project health index etc. "¢ Stakeholder communication "“ o Excellent communication and interpersonal skills with onshore / offshore / nearshore teams o Client communication with F2F client meetings and presentations o Ability to communicate with senior management within NTTDATA Preferred Skills and Qualifications "“ "¢ Overall, 12-14 years of work experience "¢ 7+ years of enterprise Technical Program Management experience supporting data projects. "¢ Data lifecycle management "“ Understanding of data lifecycle management principles including data acquisition, ingestion, data quality, data consumption, and data visualization "¢ Exposure to AI and Gen AI fundamental concepts "¢ 7+ years of experience with Agile and Waterfall methodologies "¢ Ability to travel at least 25% "¢ Graduate degree or equivalent combi

Req ID: 324676 We are currently seeking a Data Analyst to join our team in Pune, Mahrshtra (IN-MH), India (IN). Key Responsibilities: Extract, transform, and load (ETL) data from various sources, ensuring data quality, integrity, and accuracy. Perform data cleansing, validation, and preprocessing to prepare structured and unstructured data for analysis. Develop and execute queries, scripts, and data manipulation tasks using SQL, Python, or other relevant tools. Analyze large datasets to identify trends, patterns, and correlations, drawing meaningful conclusions that inform business decisions. Create clear and concise data visualizations, dashboards, and reports to communicate findings effectively to stakeholders. Collaborate with clients and cross-functional teams to gather and understand data requirements, translating them into actionable insights. Work closely with other departments to support their data needs. Collaborate with Data Scientists and other analysts to support predictive modeling, machine learning, and statistical analysis. Continuously monitor data quality and proactively identify anomalies or discrepancies, recommending corrective actions. Stay up-to-date with industry trends, emerging technologies, and best practices to enhance analytical techniques. Assist in the identification and implementation of process improvements to streamline data workflows and analysis. Basic Qualifications: 3 + years of proficiency in data analysis tools such as [Tools - e.g., Excel, SQL, R, Python]. 3+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects. 2+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions. Undergraduate or Graduate degree preferred Ability to travel at least 25%." Preferred Skills: Strong proficiency in data analysis tools such as Python, SQL, Talend (any ETL). Experience with data visualization tools like PowerBI. Experience with cloud data platforms . Familiarity with ETL (Extract, Transform, Load) processes and tools. Knowledge of machine learning techniques and tools. Experience in a specific industry (e.g., financial services, healthcare, manufacturing) can be a plus. Understanding of data governance and data privacy regulations. Ability to query and manipulate databases and data warehouses. Excellent analytical and problem-solving skills. Strong communication skills with the ability to explain complex data insights to non-technical stakeholders. Detail-oriented with a commitment to accuracy.

Technical Requirements SQL (Advanced level): Strong command of complex SQL logic, including window functions, CTEs, pivot/unpivot, and be proficient in stored procedure/SQL script development. Experience writing maintainable SQL for transformations. Python for ETL : Ability to write modular and reusable ETL logic using Python. Familiarity with JSON manipulation and API consumption. ETL Pipeline Development : Experienced in developing ETL/ELT pipelines, data profiling, validation, quality/health check, error handling, logging and notifications, etc. Nice-to-Have Skills Knowledge of CI/CD practices for data workflows. Key Responsibilities Collaborate with analysts and data architects to develop and test ETL pipelines using SQL and Python in Data Brick and Yellowbrick. Perform related data quality checks and implement validation frameworks. Optimize queries for performance and cost-efficiency Technical Requirements SQL (Advanced level): Strong command of complex SQL logic, including window functions, CTEs, pivot/unpivot, and be proficient in stored procedure/SQL script development. Experience writing maintainable SQL for transformations. Python for ETL : Ability to write modular and reusable ETL logic using Python. Familiarity with JSON manipulation and API consumption. ETL Pipeline Development : Experienced in developing ETL/ELT pipelines, data profiling, validation, quality/health check, error handling, logging and notifications, etc. Nice-to-Have Skills: Experiences with AWS Redshift, Databrick and Yellow brick, Knowledge of CI/CD practices for data workflows. Roles and Responsibilities Leverage expertise in AWS Redshift, PostgreSQL, Databricks, and Yellowbrick to design and implement scalable data solutions. Partner with data analysts and architects to build and test robust ETL pipelines using SQL and Python. Develop and maintain data validation frameworks to ensure high data quality and reliability. Optimize database queries to enhance performance and ensure cost-effective data processing.

About This Role : We are looking for a talented and experienced Data Engineer with Tech Lead with hands-on expertise in any ETL Tool with full knowledge about CI/CD practices with leading a team technically more than 5 and client facing and create Data Engineering, Data Quality frameworks. As a tech lead must ensure to build ETL jobs, Data Quality Jobs, Big Data Jobs performed performance optimization by understanding the requirements, create re-usable assets and able to perform production deployment and preferably worked in DWH appliances Snowflake / redshift / Synapse Responsibilities Work with a team of engineers in designing, developing, and maintaining scalable and efficient data solutions using Any Data Integration (any ETL tool like Talend / Informatica) and any Big Data technologies. Design, develop, and maintain end-to-end data pipelines using Any ETL Data Integration (any ETL tool like Talend / Informatica) to ingest, process, and transform large volumes of data from heterogeneous sources. Have good experience in designing cloud pipelines using Azure Data Factory or AWS Glues/Lambda. Implemented Data Integration end to end with any ETL technologies. Implement database solutions for storing, processing, and querying large volumes of structured and unstructured and semi-structured data Implement Job Migrations of ETL Jobs from Older versions to New versions. Implement and write advanced SQL scripts in SQL Database at medium to expert level. Work with technical team with client and provide guidance during technical challenges. Integrate and optimize data flows between various databases, data warehouses, and Big Data platforms. Collaborate with cross-functional teams to gather data requirements and translate them into scalable and efficient data solutions. Optimize ETL, Data Load performance, scalability, and cost-effectiveness through optimization techniques. Interact with Client on a daily basis and provide technical progress and respond to technical questions. Implement best practices for data integration. Implement complex ETL data pipelines or similar frameworks to process and analyze massive datasets. Ensure data quality, reliability, and security across all stages of the data pipeline. Troubleshoot and debug data-related issues in production systems and provide timely resolution. Stay current with emerging technologies and industry trends in data engineering technologies, CI/CD, and incorporate them into our data architecture and processes. Optimize data processing workflows and infrastructure for performance, scalability, and cost-effectiveness. Provide technical guidance and foster a culture of continuous learning and improvement. Implement and automate CI/CD pipelines for data engineering workflows, including testing, deployment, and monitoring. Perform migration to production deployment from lower environments, test & validate Must Have Skills Must be certified in any ETL tools, Database, Cloud.(Snowflake certified is more preferred) Must have implemented at least 3 end-to-end projects in Data Engineering. Must have worked on performance management optimization and tuning for data loads, data processes, data transformation in big data Must be flexible to write code using JAVA/Scala/Python etc. as required Must have implemented CI/CD pipelines using tools like Jenkins, GitLab CI, or AWS CodePipeline. Must have managed a team technically of min 5 members and guided the team technically. Must have the Technical Ownership capability of Data Engineering delivery. Strong communication capabilities with client facing. Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5 years of experience in software engineering or a related role, with a strong focus on Any ETL Tool, database, integration. Proficiency in Any ETL tools like Talend , Informatica etc for Data Integration for building and orchestrating data pipelines. Hands-on experience with relational databases such as MySQL, PostgreSQL, or Oracle, and NoSQL databases such as MongoDB, Cassandra, or Redis. Solid understanding of database design principles, data modeling, and SQL query optimization. Experience with data warehousing, Data Lake , Delta Lake concepts and technologies, data modeling, and relational databases.

Position: Snowflake - Senior Technical Lead Experience: 8-11 years Location: Noida/ Bangalore Education: B.E./ B.Tech./ MCA Primary Skills: Snowflake, Snowpipe, SQL, Data Modelling, DV 2.0, Data Quality, AWS, Snowflake Security Good to have Skills: Snowpark, Data Build Tool, Finance Domain Preferred Skills Experience with Snowflake-specific features: Snowpipe, Streams & Tasks, Secure Data Sharing. Experience in data warehousing, with at least 2 years focused on Snowflake. Hands-on expertise in SQL, Snowflake scripting (JavaScript UDFs), and Snowflake administration. Proven experience with ETL/ELT tools (e.g., dbt, Informatica, Talend, Matillion) and orchestration frameworks. Deep knowledge of data modeling techniques (star schema, data vault) and performance tuning. Familiarity with data security, compliance requirements, and governance best practices. Experience in Python, Scala, or Java for Snowpark development. Strong understanding of cloud platforms (AWS, Azure, or GCP) and related services (S3, ADLS, IAM) Key Responsibilities Define data partitioning, clustering, and micro-partition strategies to optimize performance and cost. Lead the implementation of ETL/ELT processes using Snowflake features (Streams, Tasks, Snowpipe). Automate schema migrations, deployments, and pipeline orchestration (e.g., with dbt, Airflow, or Matillion). Monitor query performance and resource utilization; tune warehouses, caching, and clustering. Implement workload isolation (multi-cluster warehouses, resource monitors) for concurrent workloads. Define and enforce role-based access control (RBAC), masking policies, and object tagging. Ensure data encryption, compliance (e.g., GDPR, HIPAA), and audit logging are correctly configured. Establish best practices for dimensional modeling, data vault architecture, and data quality. Create and maintain data dictionaries, lineage documentation, and governance standards. Partner with business analysts and data scientists to understand requirements and deliver analytics-ready datasets. Stay current with Snowflake feature releases (e.g., Snowpark, Native Apps) and propose adoption strategies. Contribute to the long-term data platform roadmap and cloud cost-optimization initiatives.

Loction :Mumbai Job Description: Looking for Candidates with 8 to 10 years of experience Hands on experience of implementing data pipelines using traditional DWH, Big data & Cloud ecosystem Good exposure to data architecture design, cost and size estimation Good understanding of handling Realtime/streaming pipelines Have experience of Data Quality and Data Governance Have experience of handling & interacting clients and managing vendors Having knowledge on AI/ML, GenAI is a plus Exposure of managing and leading teams

Role & responsibilities Collaborate with stakeholders to enhance Issuer Services' data management framework. Define and promote data principles, standards, and best practices. Represent the Data Office in enterprise-wide data initiatives. Identify key data attributes and implement quality controls. Support data governance tools, processes, and continuous improvement. Provide guidance on data governance issues and resolutions. Work with business and tech teams on analysis, documentation, and data roadmaps. Evaluate and recommend objectives to advance data management services. Preferred candidate profile Strong stakeholder, team, and project management skills. Experienced in Agile (scrum, sprint planning, backlog refinement). Solid background in data governance, management, and best practices. Skilled in enterprise data processes, database, and schema design. Excellent communication, problem-solving, and leadership abilities. Tools: Collibra, Solidatus, Excel; large data sets. Domain experience in banking/financial services, especially issuer services.

Dear Candidate, We are hiring a Data Quality Analyst to ensure the accuracy, integrity, and consistency of enterprise data assets. This role supports data-driven decision-making through validation, profiling, and quality improvement initiatives. Key Responsibilities: Monitor, measure, and report on data quality metrics. Identify data anomalies and work with teams to resolve issues. Perform data profiling and root cause analysis. Design and execute data validation tests and quality rules. Collaborate with data stewards, engineers, and business teams. Required Skills & Qualifications: Strong SQL skills and experience with data profiling tools. Familiarity with data governance and MDM concepts. Experience with ETL processes and reporting platforms. Analytical mindset with attention to detail. Knowledge of tools like Talend, Informatica, or Collibra is a plus. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies