4955 Data Governance Jobs - Page 3

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP BusinessObjects Data Services Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that the applications are aligned with business objectives and user needs, while maintaining a focus on quality and efficiency throughout the project lifecycle. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of milestones. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP BusinessObjects Data Services.- Strong understanding of data integration and ETL processes.- Experience with data quality management and data governance.- Familiarity with database technologies and data modeling.- Ability to troubleshoot and resolve technical issues effectively. Additional Information:- The candidate should have minimum 7.5 years of experience in SAP BusinessObjects Data Services.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Master Data Governance MDG Tool Good to have skills : NA Minimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that solutions are aligned with business objectives and that all stakeholders are informed and involved in the decision-making process. Your role will require you to balance technical expertise with effective communication, ensuring that projects are delivered on time and meet quality standards. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Engage with multiple teams and responsible for team decisions.- Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems.- Facilitate workshops and meetings to gather requirements and ensure alignment among stakeholders.- Mentor junior professionals, providing guidance and support in their development.- Continuously assess and improve application processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Governance MDG Tool.- Strong understanding of data governance principles and practices.- Experience with application design and architecture.- Ability to analyze complex business requirements and translate them into technical specifications.- Familiarity with integration techniques and tools related to SAP systems. Additional Information:- The candidate should have minimum 18 years of experience in SAP Master Data Governance MDG Tool.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP BusinessObjects Data Services Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that the applications are aligned with business objectives and user needs, while maintaining a focus on quality and efficiency throughout the project lifecycle. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of milestones. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP BusinessObjects Data Services.- Strong understanding of data integration and ETL processes.- Experience with data quality management and data governance.- Familiarity with database technologies and data modeling.- Ability to troubleshoot and resolve application issues effectively. Additional Information:- The candidate should have minimum 5 years of experience in SAP BusinessObjects Data Services.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Data Architecture Principles Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide innovative solutions that enhance data accessibility and usability. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Architecture Principles.- Strong understanding of data modeling techniques and best practices.- Experience with data integration tools and ETL processes.- Familiarity with cloud data platforms and services.- Knowledge of data governance and data quality frameworks. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Architecture Principles.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems, contributing to the overall data strategy of the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data modeling and database design principles.- Experience with ETL tools and data integration techniques.- Familiarity with cloud platforms and services related to data storage and processing.- Knowledge of data governance and data quality best practices. Additional Information:- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Teradata BI Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems, contributing to the overall efficiency and reliability of data management within the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering. Professional & Technical Skills: - Must To Have Skills: Proficiency in Teradata BI.- Strong understanding of data warehousing concepts and architecture.- Experience with data modeling and database design.- Familiarity with SQL and data querying techniques.- Knowledge of data governance and data quality best practices. Additional Information:- The candidate should have minimum 5 years of experience in Teradata BI.- This position is based at our Coimbatore office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Master Data Governance MDG Tool Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that the applications are aligned with business needs and technical specifications, while fostering a collaborative environment that encourages innovation and efficiency. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of milestones. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Governance MDG Tool.- Strong understanding of data governance principles and practices.- Experience with application design and development methodologies.- Ability to analyze and optimize application performance.- Familiarity with integration processes and tools related to SAP. Additional Information:- The candidate should have minimum 5 years of experience in SAP Master Data Governance MDG Tool.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Master Data Governance MDG Tool Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that the applications are aligned with business needs and technical specifications, while fostering a collaborative environment that encourages innovation and efficiency. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of milestones. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Governance MDG Tool.- Strong understanding of data governance principles and practices.- Experience with application design and development methodologies.- Ability to analyze and optimize application performance.- Familiarity with integration processes and tools related to SAP. Additional Information:- The candidate should have minimum 5 years of experience in SAP Master Data Governance MDG Tool.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Ab Initio Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team in implementing effective solutions. You will also engage in strategic planning sessions to align project goals with organizational objectives, ensuring that all stakeholders are informed and involved in the development process. Your role will require a balance of technical expertise and leadership skills to drive the project forward successfully. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and adjust plans as necessary to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in Ab Initio.- Strong understanding of data integration and ETL processes.- Experience with performance tuning and optimization of data workflows.- Familiarity with data governance and quality assurance practices.- Ability to mentor junior team members and foster a collaborative environment. Additional Information:- The candidate should have minimum 7.5 years of experience in Ab Initio.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Information Lifecycle management ILM Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : BE Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that solutions are effectively implemented across multiple teams, while maintaining a focus on quality and efficiency in application delivery. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Information Lifecycle management ILM.- Strong understanding of application design and architecture principles.- Experience with project management methodologies.- Ability to analyze and optimize application performance.- Familiarity with data governance and compliance standards. Additional Information:- The candidate should have minimum 12 years of experience in SAP Information Lifecycle management ILM.- This position is based at our Mumbai office.- A BE is required. Qualification BE

Grade Level (for internal use): 07 The Role: As a Data Analyst in our Bank Rates team, you will be responsible to ensure the accuracy, completeness, and timeliness of data published in the MI platform. Maintain a high level of subject matter expertise related to content set, including knowledge of internal applications and external products. Work Shift: This is a permanent night shift role. You will be required to work in the night hours from 6 P.M to 3 A.M/7 P.M to 4 A.M. TheLocation:This position is based in Islamabad, Pakistan. TheTeam/TheBusiness:We are truly a global firm. The presence of our Bank Rates team spans over Pakistan, Philippines, India and the United States. Impact:You will have an opportunity to improve your skillset and grow a global internal and external network that will enable you to regularly assess client service levels and identify creative, viable ways to drive meaningful improvement. TheCareerOpportunity:Our Company prides itself in being an equal opportunity employer and a result faced meritocracy. We set high standards and value accountability for all. At the same time, we seek to identify and reward exceptional performance with growth opportunities. Based on planned growth and initiatives, you have an opportunity to emerge to more specialized roles and act as a resource for the team. Responsibilities: You will contact US banks during US business hours primarily via phone calls, supplemented with emails and Internet-based research to collect comprehensive information on the interest rates for their banking products according to SPGMI parameters You will be responsible for timely entry and submission of data within given timeframes Developing and maintaining business relationships with external contacts/clients as a means to actively track information on the covered content set falls under the preview of this job You are required to keep up-to-date with industry knowledge and build with experience and passage of time Improving measures for capturing data and identify new collection methods related to the covered content set You will have the capacity to learn and work on Fees related and charter jobs WhatWereLookingFor: BasicQualifications: Minimum of a Bachelor's/College degree Excellent communication skills with great telephonic manner to speak to international clients The candidate must have a positive attitude towards work and environment/culture of the team Passionate about work and the urge to go above and beyond Previous calling experience is an added advantage Tight-knit collaboration skills Eager to learn new things and be a standout teammate Ability to work under tight deadlines Excellent attention to detail An interest in the tech industry

Company Description Cloud Destinations, headquartered in Silicon Valley, specializes in digital transformation and enterprise application development for the Healthcare, Retail, and Technology sectors. We excel in cloud migrations, multi-cloud operations, DevOps, security operations, and IoT. Our globally distributed team includes skilled technical experts and effective leaders who thrive on teamwork and respect for diverse viewpoints. For more details, visit our website: www.clouddestinations.com. Role Description This is a full-time, on-site role for a Data Engineer Manager located in Coimbatore . We are looking for a highly skilled Data Engineering Manager to lead and grow our data engineering team, driving the design, development, and maintenance of scalable data pipelines and architecture. In this role, you will work closely with cross-functional teams, including data science, analytics, software engineering, and business stakeholders, to ensure the delivery of high-quality data solutions that support business objectives. If you're passionate about data, cloud technologies, and leading high-performing teams, wed love to hear from you! Team Leadership: Lead, mentor, and manage a team of data engineers, ensuring effective collaboration, professional growth, and high-quality output. Data Architecture: Design, build, and maintain robust data pipelines and architectures that efficiently support data-driven processes and systems. Data Strategy: Develop and execute data engineering strategies in alignment with business goals and evolving data needs. Data Integration: Oversee the integration of data from various sources, including third-party APIs, databases, and streaming platforms. Optimization & Maintenance: Ensure high performance, scalability, and reliability of data processing systems, continuously optimizing workflows and improving data quality. Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand their data needs and deliver solutions accordingly. Cloud Technologies: Oversee the adoption and integration of cloud-based solutions (AWS, Azure, Google Cloud) to manage and process large-scale datasets efficiently. Governance & Security: Implement and maintain best practices for data governance, data privacy, and security in line with industry standards and regulations. Stakeholder Communication: Regularly communicate progress, challenges, and outcomes to stakeholders across the organization, providing insights and solutions as needed. Project Management: Plan, prioritize, and oversee data engineering projects, ensuring timely delivery of solutions that meet both business and technical requirements. Technical Expertise: Strong proficiency in programming languages such as Python, Java, or Scala. Experience with data processing frameworks like Apache Spark, Kafka, Hadoop , or similar technologies. Hands-on experience with ETL tools and techniques, including workflow orchestration (e.g Airflow, Luigi ). Strong SQL skills and familiarity with NoSQL databases (e.g., MongoDB, Cassandra). Proven experience with cloud platforms ( AWS, Google Cloud, Azure ) and related data storage solutions ( S3, Redshift, BigQuery, etc. ). Leadership : Proven experience leading and mentoring data engineering teams, fostering a culture of continuous learning and collaboration. Data Architecture : Expertise in designing scalable and efficient data architectures, pipelines, and workflows. Problem Solving : Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions. Communication : Excellent communication skills, capable of collaborating with both technical and non-technical stakeholders. Project Management : Experience managing multiple projects and deadlines in a fast-paced environment. Familiarity with machine learning pipelines and big data platforms. Certification in cloud platforms (AWS Certified Data Analytics, Google Cloud, Professional Data Engineer, etc.). Knowledge of data governance, compliance, and security best practices (e.g., GDPR, CCPA). Interested and suitable applicants kindly share your resume to kavyaga@clouddestinations.com

As a Lead Data Engineer you will be responsible for: Leading a team of talented data engineers responsible for designing, building, and maintaining scalable data pipelines and infrastructure Work closely with cross-functional teams to ensure client data systems meet the highest standards of quality and performance Lead, mentor, and develop a team of data engineers, fostering a collaborative and inclusive team environment Conduct regular performance reviews, provide feedback, and set goals for team members Identify and address skill gaps, and provide opportunities for professional development Plan, execute, and deliver data engineering projects on time and within scope Coordinate with stakeholders to gather requirements, set priorities, and define project timelines, Ensure projects align with overall business objectives and data strategy Oversee the design, development, and maintenance of data pipelines, ETL processes, and data warehouse Ensure data quality, integrity, and security across all data engineering projects, Identify opportunities for process improvements and drive initiatives to enhance the efficiency and effectiveness of data operations, Has strong conceptual understanding of Data Warehousing and ETL, Data Governance and Security, Cloud Computing, and Batch & Real Time data processing Ability to build/drive reusable frameworks that can drive efficiency of the overall data system Has executed and lead multiple projects including on streaming, batch, large data pipelines, etc Manages conversation with the client stakeholders to understand the requirement and translate it into technical outcomes, Show more Show less

Eligibility Criteria Bachelors in mechanical engineering with a minimum of 4 to 8 years of experience in Mechanical/ Electromechanical component engineering with alternate parts selection, qualification, testing and evaluation, The group youll be a part of Component Engineering Group CEG CoE Primary Responsibilities Part number generation, Spec and CAD creation for Commercial parts, Suggest COTS component for design needs by searching internal or external database, Collaborate with cross-functional teams (Product group, Supply chain, Manufacturer /supplier) for COTS Problem report, Parts classification / cataloguing in database, Evaluate Problem report related to COTS parts and recommend solution by identifying the Form-Fit-Function compatible replacements, Prepare Comparison report for primary & alternate parts comparing attribute in Fit, Form & function category, Identify alternate parts (second sources) considering availability, performance, cost, Lead time, Drive cost reduction through alternate sourcing and component standardization, Mandatory Skills Ability to assess the impact of mechanical components in higher assemblies based on parameters in datasheet, Perform Form-Fit-Function (FFF) compatibility check by comparing CAD / Visual part inspection to ensure seamless integration into existing designs, Experience of working closely with design engineers, Supply chain teams to drive industry standard Mechanical/ Electromechanical(Solenoid Valves, Pressure Switches etc) parts for usage (Design for Assembly), Understanding of BOMs (Bill of Materials), specifications, and ability to interpret qualification reports, CAD Software Knowledge, preferably NX and Creo, Desired Skills Understanding of functions and critical attributes for mechanical COTS commodity parts such as fittings, tube and hose, fasteners, gauges, valves, flow switches, hydraulic/pneumatic systems, Proficient in PLM systems and library management for component lifecycle and data governance, Experience in industry standards including SEMI, DIN, ISO, and ASME for compliance and design integrity, Exposure to alternate components evaluation process to validate performance and compliance, Understanding of pneumatic schematics, including the ability to interpret and analyze component functions, and flow paths to support design validation and troubleshooting, Competencies Communication Problem Solving Team Collaboration Agility Decision Making Innovation and Continuous Improvement Open Communication Our commitment We believe it is important for every person to feel valued, included, and empowered to achieve their full potential By bringing unique individuals and viewpoints together, we achieve extraordinary results, Lam Research ("Lam" or the "Company") is an equal opportunity employer Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws It is the Company's intention to comply with all applicable laws and regulations Company policy prohibits unlawful discrimination against applicants or employees, Lam offers a variety of work location models based on the needs of each role Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories On-site Flex and Virtual Flex ?On-site Flexyoull work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week ?Virtual Flexyoull work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time, Show more Show less

Join Amgens Mission of Serving Patients At Amgen, if you feel like youre part of something bigger, its because you are Our shared mission?to serve patients living with serious illnesses?drives all that we do, Since 1980, weve helped pioneer the world of biotech in our fight against the worlds toughest diseases With our focus on four therapeutic areas Oncology, Inflammation, General Medicine, and Rare Diseasewe reach millions of patients each year As a member of the Amgen team, youll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives, Our award-winning culture is collaborative, innovative, and science based If you have a passion for challenges and the opportunities that lay within them, youll thrive as part of the Amgen team Join us and transform the lives of patients while transforming your career, Data Engineer What You Will Do Lets do this Lets change the world In this vital role you will be responsible for designing, building, maintaining, analyzing, and interpreting data to deliver actionable insights that drive business decisions, This role involves working with large datasets, developing reports, supporting and performing data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed The ideal candidate has deep technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes, Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing Be a crucial team member that assists in design and development of the data pipeline Build data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate and communicate effectively with product teams Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast-paced business needs across geographic regions Identify and resolve complex data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation Basic Qualifications: What We Expect Of You We are all different, yet we all use our unique contributions to serve patients The [vital attribute] professional we seek is a [type of person] with these qualifications, Basic Qualifications: Master's degree / Bachelor's degree and 5 to 9 years Preferred Qualifications: Must-Have Skills: Hands-on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing Proficiency in data analysis tools (eg SQL) and experience with data visualization tools Excellent problem-solving skills and the ability to work with large, complex datasets Solid understanding of data governance frameworks, tools, and best practices, Knowledge of data protection regulations and compliance requirements Good-to-Have Skills: Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development Good understanding of data modeling, data warehousing, and data integration concepts Knowledge of Python/R, Databricks, SageMaker, cloud data platforms Professional Certifications Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments) What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being From our competitive benefits to our collaborative culture, well support your journey every step of the way, In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards, Apply now and make a lasting impact with the Amgen team, careers amgen As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients Together, we compete in the fight against serious disease, Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law, We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment Please contact us to request accommodation, Show more Show less

Department : Platform Engineering Summary : We are seeking a highly skilled Data Engineer with expertise in ontology development and knowledge graph implementation. This role will be pivotal in shaping our data infrastructure and ensuring the accurate representation and integration of complex data sets. You will leverage industry best practices, including the Basic Formal Ontology (BFO) and Common Core Ontologies (CCO), to design, develop, and maintain ontologies, semantic and syntactic data models, and knowledge graphs on the Databricks Data Intelligence Platform that drive data-driven decision-making and innovation within the company. Responsibilities : Ontology Development : - Design and implement ontologies based on BFO and CCO principles, ensuring alignment with business requirements and industry standards. - Collaborate with domain experts to capture and formalize domain knowledge into ontological structures. - Develop and maintain comprehensive ontologies to model various business entities, relationships, and processes. Data Modeling : - Design and implement semantic and syntactic data models that adhere to ontological principles. - Create data models that are scalable, flexible, and adaptable to changing business needs. - Integrate data models with existing data infrastructure and applications. Knowledge Graph Implementation : - Design and build knowledge graphs based on ontologies and data models. - Develop algorithms and tools for knowledge graph population, enrichment, and maintenance. - Utilize knowledge graphs to enable advanced analytics, search, and recommendation systems. Data Quality And Governance : - Ensure the quality, accuracy, and consistency of ontologies, data models, and knowledge graphs. - Define and implement data governance processes and standards for ontology development and maintenance. Collaboration And Communication : - Work closely with data scientists, software engineers, and business stakeholders to understand their data requirements and provide tailored solutions. - Communicate complex technical concepts clearly and effectively to diverse audiences. Qualifications : Education : - Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Experience : - 5+ years of experience in data engineering or a related role. - Proven experience in ontology development using BFO and CCO or similar ontological frameworks. - Strong knowledge of semantic web technologies, including RDF, OWL, SPARQL, and SHACL. - Proficiency in Python, SQL, and other programming languages used for data engineering. - Experience with graph databases (e.g., TigerGraph, JanusGraph) and triple stores (e.g., GraphDB, Stardog) is a plus. Desired Skills : - Familiarity with machine learning and natural language processing techniques. - Experience with cloud-based data platforms (e.g., AWS, Azure, GCP). - Experience with Databricks technologies including Spark, Delta Lake, Iceberg, Unity Catalog, UniForm, and Photon. - Strong problem-solving and analytical skills. - Excellent communication and interpersonal skills.

About The Opportunity : Operating at the forefront of the consulting and technology services sector, our client delivers transformative data management and business analytics solutions to a global clientele. Specializing in innovative approaches to data architecture and information management, they empower organizations to make data-driven decisions. We are seeking a seasoned professional to drive the evolution of our data infrastructure. This is an exciting chance to join a high-caliber team that values precision, efficiency, and strategic vision in a fully remote setting from anywhere in India. Role & Responsibilities : As a key member of our team, you will be instrumental in shaping our data landscape. Your responsibilities will include : - Designing, developing, and maintaining comprehensive logical and physical data models that meet stringent business and regulatory requirements. - Collaborating with cross-functional teams including data engineers, analysts, and business stakeholders to align data architecture with evolving business needs. - Translating complex business requirements into robust and scalable data models, ensuring optimal performance and data integrity. - Optimizing and refining existing data structures and frameworks to enhance data access, reporting, and analytics capabilities. - Driving governance and data quality initiatives by establishing best practices and documentation standards for data modeling. - Mentoring and guiding junior team members, fostering a culture of continuous improvement and technical excellence. Skills & Qualifications : Must-Have : - Experience : 6+ years of experience in data modeling and related disciplines. - Data Modeling : Extensive expertise in conceptual, logical, and physical models, including Star/Snowflake schema design, Normalization, and Denormalization techniques. - Snowflake : Proven experience with Snowflake schema design, Performance tuning, Time Travel, Streams & Tasks, and Secure & Materialized Views. - SQL & Scripting : Advanced proficiency in SQL (including CTEs and Window Functions), with a strong focus on automation and optimization. Key Skills : - Data Modeling (conceptual, logical, physical) - Schema Design (Star Schema, Snowflake Schema) - Optimization & Performance Tuning - Snowflake (Schema design, Time Travel, Streams and Tasks, Secure Views, Materialized Views) - Advanced SQL (CTEs, Window Functions) - Normalization & Denormalization - Automation - NoSQL (preferred, but not mandatory)

Key Responsibilities : - Exp in Snowflake with min 3 yrs. - Design, develop, and maintain integration workflows using Informatica CAI/CDI within IDMC. - Configure and manage Informatica MDM for data consolidation, cleansing, and governance. - Translate business and technical requirements into robust, scalable integration solutions. - Collaborate with analysts, architects, and business stakeholders to ensure delivery meets expectations. - Monitor and troubleshoot integration processes and performance. - Support deployment activities and CI/CD processes. - Maintain documentation of integration designs and data flows. Essential Skills & Experience : - 4+ years experience in Informatica development (Cloud and/or On-Prem). - Strong experience with CAI (Cloud Application Integration) and CDI (Cloud Data Integration). - Experience configuring and supporting Informatica MDM including data models, match/merge rules, and hierarchies. - Solid understanding of REST/SOAP APIs, event-driven architecture, and message queues. - Hands-on experience with IDMC platform and cloud-native integration patterns. - Proficient in SQL and data manipulation techniques. - Experience in data governance, data quality, and master data best practice. - Experience with CI/CD pipelines for Informatica using Git, Jenkins, or similar tools. - Knowledge of cloud platforms (Azure, AWS, or GCP). - Exposure to data warehousing, data lake, or real-time integration. - Familiarity with Agile/Scrum delivery methods.

Knowledge and an expert in Microsoft Purview for data governance and cataloging. Knowledge and an expert in Azure Data Factory, Azure Synapse, and Power BI for data integration and visualization. Knowledge and an expert in PowerShell for automation and scripting tasks. Knowledge and an expert in Data Quality and Compliance Tools (e.g., Microsoft Compliance Manager). Knowledge in how to use Azure DevOps, or other project management tools for tracking implementation progress. Roles And Responsibility : - Using Purview, perform data discovery, identifying and cataloging data assets. - Implement and configure data classification rules to automatically classify sensitive data, ensuring compliance with regulations. - Ensure the automatic tagging and categorization of data to create a comprehensive inventory. Required Skills And Qualifications : - Bachelors degree in computer science, Information Technology, or a related field. - Experience with Azure Purview or similar data governance tools. - Strong understanding of data governance principles, data management, and regulatory requirements. - Proficiency in data cataloging, metadata management, and data lineage documentation. - Excellent analytical and problem-solving skills. - Effective communication skills for collaboration with cross-functional teams. Preferred Qualifications : - Certification in Azure Purview or other data governance tools. - Prior experience in implementing data governance frameworks for enterprise clients. - Familiarity with cloud platforms like Azure or AWS. - Knowledge of data privacy regulations such as GDPR or CCPA.

Notice Period: - 30-60 Days Project Overview: We are seeking a seasoned AI Architect with strong experience in Generative AI and Large Language Models (LLMs)including OpenAI, Claude, and Geminito lead the design, orchestration, and deployment of intelligent solutions across complex use cases. You will architect conversational systems, feedback loops, and LLM pipelines with robust data governance, leveraging the Databricks platform and Unity Catalog for enterprise-scale scalability, lineage, and compliance. Role Scope / Deliverables: Architect end-to-end LLM solutions for chatbot applications, semantic search, summarization, and domain-specific assistants. Design modular, scalable LLM workflows including prompt orchestration, RAG (retrieval-augmented generation), vector store integration, and real-time inference pipelines. Leverage Databricks Unity Catalog for:o Centralized governance of AI training and inference datasetso Managing metadata, lineage, access controls, and audit trailso Cataloging feature tables, vector embeddings, and model artifacts Collaborate with data engineers and platform teams to ingest, transform, and catalog datasets used for fine-tuning and prompt optimization. Integrate feedback loop systems (e.g., user input, signal-driven reinforcement, RLHF) to continuously refine LLM performance. Optimize model performance, latency, and cost using a combination of fine-tuning, prompt engineering, model selection, and token usage management. Oversee secure deployment of models in production, including access control, auditability, and compliance alignment via Unity Catalog. Guide teams on data quality, discoverability, and responsible AI practices in LLM usage. Key Skills: 7+ years in AI/ML solution architecture, with 2+ years focused on LLMs and Generative AI. Strong experience working with OpenAI (GPT-4/o), Claude, Gemini, and integrating LLM APIs into enterprise systems. Proficiency in Databricks, including Unity Catalog, Delta Lake, MLflow, and cluster orchestration. Deep understanding of data governance, metadata management, and data lineage in large-scale environments. Hands-on experience with chatbot frameworks, LLM orchestration tools (LangChain, LlamaIndex), and vector databases (e.g., FAISS, Weaviate, Pinecone). Strong Python development skills, including notebooks, REST APIs, and LLM orchestration pipelines. Ability to map business problems to AI solutions, with strong architectural thinking and stakeholder communication. Familiarity with feedback loops and continuous learning patterns (e.g., RLHF, user scoring, prompt iteration). Experience deploying models in cloud-native and hybrid environments (AWS, Azure, or GCP). Preferred Qualifications: Experience fine-tuning or optimizing open-source LLMs (e.g., LLaMA, Mistral) with tools like LoRA/QLoRA. Knowledge of compliance requirements (HIPAA, GDPR, SOC2) in AI systems. Prior work building secure, governed LLM applications in highly regulated industries. Background in data cataloging, enterprise metadata management, or ML model registries.

SUMMARY About the Role: We are seeking a highly experienced and results-oriented Talent Acquisition Specialist to join our growing team at Algoleap. In this role, you will be responsible for full-cycle recruitment, focusing on sourcing and attracting top talent across various IT disciplines, with a strong emphasis on emerging technologies like AI/ML. Key Responsibilities: Full-cycle recruitment: Source, screen, interview, and onboard top-tier candidates for IT roles (e.g., Software Engineers, Data Scientists, Cloud Architects, DevOps Engineers). Employer Branding: Develop and implement strategies to enhance our employer brand and attract top talent. Sourcing: Utilize various channels (job boards, social media, referrals, networking) to identify and engage qualified candidates. Screening: Conduct in-depth interviews, review resumes and applications, and assess candidate qualifications. Interview Coordination: Schedule and coordinate interviews with hiring managers and candidates. Onboarding: Assist with the onboarding process, including pre-employment checks, offer letters, and new hire orientation. Data Analysis: Track key metrics, analyze recruitment data, and identify areas for improvement. Stay Updated: Stay abreast of industry trends, emerging technologies (AI/ML, Cloud Computing, etc.), and best practices in talent acquisition. Qualifications: 5-8 years of experience in full-cycle recruitment within the IT industry. Proven experience sourcing and screening candidates for technical roles. Strong understanding of the IT landscape and emerging technologies (AI/ML, Cloud Computing). Excellent communication, interpersonal, and negotiation skills. Proficiency in applicant tracking systems (ATS) such as Zoho Recruit and Fieldglass. Strong organizational and time management skills. Ability to work independently and as part of a team. If you are a passionate and results-oriented Talent Acquisition Specialist with a strong interest in technology and experience with the specified ATS systems, we encourage you to apply. Keywords: Talent Acquisition, Recruitment, IT Recruitment, Tech Hiring, AI/ML, Cloud Computing, Sourcing, Screening, Onboarding, Employer Branding, Zoho Recruit, Fieldglass

SUMMARY LOCATION: Mumbai, Fort DOMAIN: Windows Level (L1/L2/L3): L2 Required Relevant Domain Experience: 4-6 Years relevant experience Job Type (Onsite/Remote) : Onsite Shift details (General/ 24X7) : Onsite support 24 X 7 Qualification B.E./Diploma/BSC/BTech (No education gap, Full time) 1. B.E. / Diploma [ In Computers Science, IT , Electronics & Telecommunication ] [ Civil and Mechanical not preferred] 2. B.Sc. -IT 3. BCA or MCA [Full time course from a reputed University] 4. No gap in education [Passing year for S.S.C , H.S.C. And Degree/Diploma to be mentioned] Certifications Required if ANY: Relevant Certification (Preference) Specific Remarks/Requirement by customer : Windows troubleshooting and Hyper-V working experience is Mandatory Role Purpose We are seeking an experienced Windows Administrator to join our team. The ideal candidate will have strong technical skills and experience in managing and supporting Windows Servers including Hyper-V Cluster, IIS basic troubleshooting and new server provisioning, Hardening, patching in day-to- day operations. JOB RESPONSIBILITIES 1) Proactive Monitoring of all the servers using BSE tools 2) CPU & Memory utilization & monitoring. 3) Microsoft Windows Resources, Event logs & critical services Monitor. 4) Monthly report on server availability 5) Respond to and own Incident till resolution 6) Engage customer contracted hardware and software support vendors to facilitate incident resolution 7) Work with customer support teams to review & resolve incidents 8) Co-ordinate customer contacts with BSE vendors in case of hardware failures or involvement of third-party vendor is required. 9) Reinstallation of OS, in case of OS crashes and for the problems where reinstallation of OS is required. 10) Perform restoration of all components at time of system failure or file system corruption 11) Correlate related incidents together into a problem ticket and manage through the problem management process 12) Patch OS for Security patches and release management for the same. 13) Creation/deletion/configuration of VMs, Creating/Deleting VM Snapshots. 14) Reporting VM performance status using Native tools/monitoring tools 15) Manage Hyper-V 2012/2016 Clusters 16) Manage Access rights and folders 17) OS hardening as per the policy recommendations by BSE 18) IIS Basic troubleshooting 19) Server Inventory Management Technical Skills/Knowledge Requirement 1) Hyper-V Management (Must) 2) Failover Cluster Configuration and Management (Must) 3) IIS troubleshooting (Must) 4) Security patching and Hardening (Must)) 5) Server commissioning and decommissioning 6) OS Migration In place and Side by side (Must) 7) Server Performance troubleshooting

Job Description Senior Technical Team leader - Business Intelligence, Data Governance & Reporting What you will do -- Lead the development and execution of BI strategies, tools, and reporting solutions in alignment with business objectives. Serve as a subject matter expert for BI within the organization, supporting internal initiatives and mentoring team members on best practices. Design, implement, and maintain scalable data models, analytical layers, and interactive dashboards using modern BI tools (primarily Power BI). Continuously optimize BI architecture to ensure scalability, performance, and adaptability to evolving business needs. Apply performance optimization techniques to improve data processing, dashboard responsiveness, and user experience. Ensure high standards of data quality, consistency, and governance across all BI solutions. Collaborate closely with cross-functional teams including data engineers, data scientists, and business stakeholders to define and meet BI requirements. Utilize advanced Power BI features (DAX, Power Query, Power BI Service) to build robust, automated reporting and analytical solutions. Host workshops and office hours to guide business units on Power BI usage, self-service BI strategies, and technical troubleshooting. Stay abreast of emerging BI tools, trends, and methodologies to drive continuous innovation and improvement. Required Skills & Qualifications -- Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field. 10+ years of experience in Business Intelligence, including data warehousing, ETL pipelines, and reporting. Expert-level proficiency in BI tools, particularly Power BI. Certified Power BI Data Analyst Associate (PL300) and Certified Data Management Professional (CDMP)- DAMA. Strong command of DAX, Power Query, and SQL for data modeling, integration, and Python for analysis. Proficient in Agile\Scrum or traditional project management methodologies. Foster a collaborative team culture and encourage continuous learning. Total Experience Expected: 14-18 years Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.

SUMMARY Data Quality : Define and Measure Data Quality Metrics: Establish metrics for accuracy, completeness, validity, consistency, timeliness, and reliability. Continuous Monitoring and Remediation: Regularly monitor data quality, conduct audits, perform root cause analysis for recurring data issues, and implement preventive measures and remediation plans. Data Profiling: Develop and maintain comprehensive data profiles to understand data characteristics. Data Validation: Create and implement validation rules to ensure that incoming data conforms to expected formats and values. Data Cleansing: Design and execute data cleansing processes to correct errors and inconsistencies, enhancing overall data quality and reliability. Data Governance : Establish Governance Framework: Implement and enforce data governance practices to ensure compliance with regulatory requirements and corporate policies, ensuring data is managed according to best practices. Metadata Management: Develop and maintain a comprehensive metadata repository to document data definitions, lineage, and usage, ensuring it is kept up to date and accessible to end users. Understand User Needs: Collaborate with business users to identify data needs, pain points, and requirements, ensuring the data is fit for its intended use. Identify Improvement Areas: Continuously seek opportunities for process improvement in data governance and quality management. User Roles and Access Requirements: Understand user roles and access requirements for systems, so that similar protection can be implemented into the analytical solutions. Row-Level Security: Work with the data & analytics team to establish row-level security for analytical solutions, ensuring data is accessible only to authorised users. Continuous Improvement: Establish Naming Conventions: Define business friendly table names and column names, along with synonyms, to ensure data easily accessible using AI. Create Synonyms: Implement synonyms to simplify data access and enhance data readability. Establish KPIs for data governance and quality efforts and create regular reports for stakeholders to track progress and demonstrate the value of data governance initiatives. Continuous Improvement: Establish a feedback loop where users can report data quality issues and suggest improvements.

1. Alation Data Quality (DQ): Conduct data quality assessments using Alation DQ. Implement data quality frameworks and remediation activities. Perform data profiling, enrichment, and validation across key domains. Define and track data quality metrics to drive continuous improvement. 2. Alation Data Governance: Develop and maintain a data governance framework (operating model, policies, standards, business glossary, controls). Facilitate governance forums, data domain councils, and change advisory boards. Collaborate with cross-functional teams to ensure governance practices are integrated into business processes. 3. Data Cataloging & Lineage: Manage data cataloging using Alation to enhance visibility of enterprise data assets. Establish and maintain data lineage to trace data origins and transformations. Maintain documentation on data definitions, usage, and metadata. 4. Master Data Functional Expertise: Demonstrate deep understanding of master data structures including: Supplier/Vendor Customer General Ledger (GL) Accounts Cost Center Profit Center Knowledge of ERP systems such as SAP and JD Edwards is essential. 5. Collaboration & Stakeholder Management: Work closely with IT, data management teams, business leads, data owners, and data stewards. Coordinate with pillar leads to align on policies related to data privacy, lifecycle, and quality. Engage stakeholders to ensure adoption and compliance with governance practices. 6. Monitoring & Reporting: Monitor data governance activities and progress. Report key performance indicators (KPIs) and metrics to senior management. 7. Training & Awareness: Conduct training sessions and awareness campaigns to promote data governance, stewardship, and data quality. Required Skills & Qualifications: Proven experience in Alation Data Governance and Data Quality tools. Strong knowledge of data governance frameworks, operating models, and business glossaries. Experience in data cataloging and data lineage management. Functional knowledge of ERP master data (Supplier, Customer, GL, Cost Center, Profit Center). Proficient in data visualization tools (Power BI, Tableau, QlikView). Excellent communication and stakeholder engagement skills.