5964 Data Warehousing Jobs - Page 44

CRISIL is looking for Database Developer to join our dynamic team and embark on a rewarding career journeyThe developer should be proficient in database design, programming languages, and SQL.The key responsibilities of a Database Developer may include:1.Developing database solutions to store and manage large amounts of data.2.Creating database schemas that represent and support business processes.3.Optimizing database performance by identifying and resolving issues with indexing, query design, and other performance-related factors.4.Developing and maintaining database applications and interfaces that allow users to access and manipulate data.A successful Database Developer should have strong technical skills, including proficiency in database design, programming languages, and SQL. They should have experience working with large and complex data sets and knowledge of relational databases and SQL. The developer should also have experience with database management systems, such as Oracle, MySQL, or SQL Server.

Description Position: Oracle Analytics Cloud (FDI/OAC) Technical Lead Overview: Recognized on the Inc. 5000 fastest growing companies in the US, Peloton is one of the largest and fastest growing professional services firms specializing in Integrated Cloud Solutions for Enterprise Resource Planning, Enterprise Performance Management, Supply Chain Management, Human Capital Management and Big Data and Analytics. Peloton has the vision and connects capabilities to help CFOs, CIOs and business leaders to envision, implement and realize the benefits of digital transformation. Companies that are equipped with the right information, have the know-how, and the enabling technology to consistently leverage analytics will gain a competitive advantage. Our people are recognized as some of the best minds and most committed people in the industry. We believe in quality. We appreciate creativity. We recognize individual contributions, and we place trust in our team members. And we love what we do. Peloton provides Advisory, Consulting, and Managed services with deep functional and technical expertise specializing in serving clients in the Life Sciences, Retail, Manufacturing, Insurance, Aerospace and Defense and Financial Services industries. Our business and technology professionals provide a unique perspective, proven experience, with an innovative and collaborative approach to achieve results for clients. Our Technical Services practice is growing, and we are looking to add an additional leader to join the team. The ideal candidate possesses a solid foundation of core consulting skills, strong Oracle Analytics skills, functional knowledge and technical expertise in designing and developing Analytics applications. Responsibilities: Responsibilities will vary depending on the level and experience of the individual. The consultant will work as part of a project team to deliver analytical, solution-oriented services to Fortune 1000 clients. Based upon experience, specific responsibilities may include: Developing an understanding of a client s current state process and developing future state recommendations Recommending road maps to close performance gaps and developing high level implementation plans Gathering and analyzing business requirements Aligning business requirements and best practices to implement a technical solution Defining new and refining existing business processes Contributing to continuous improvement and development of Peloton processes and intellectual property. Responsibilities: The Analytics Technical Lead will be responsible for working with clients to define and develop compelling Oracle Analytics applications (visualizations, Dashboards, Data Models) Designs and develops data sources to be used for multiple users in an enterprise Architects and designs data sources, dashboards, ETL Processes, and security models to be deployed in an Oracle Analytics and Oracle Autonomous Datawarehouse environments Develops best practices and standards for Oracle Analytics, Fusion Data Intelligence, and Oracle Autonomous Datawarehouse (ADW). Stays current and advises clients on trends in analytics and data architectures, with Oracle as well as other technology and vendors. Required Experience Skills: Qualified candidates must have a BS or BA degree in Computer Science, Mathematics, Management Information Systems (MIS) or equivalent Experience performing complex data analysis and presentation of findings to client stakeholders and executives 4-8 years of experience leading implementations of Oracle Analytics Cloud and/or Autonomous Data Warehouse, Oracle Data Integrator 1-2 years of implementation experience with Fusion Data Intelligence 1-2 years experience with Fusion, BI Publisher OTBI Reporting. Excellent analytical and problem-solving skills Strong written and verbal communication skills Eagerness to work in a team-oriented environment Compensation: Competitive salary Performance Bonus Medical and Dental Insurance Vision Insurance Discounts on Pet Insurance Group Accident and Life Insurance Paid holidays and vacation days Peloton Group is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. #Ll-SV1 #Ll-HYBRID

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Database Architecting Experience : 5-8 Years.

Role Purpose The purpose of the role is to define and develop Enterprise Data Structure along with Data Warehouse, Master Data, Integration and transaction processing with maintaining and strengthening the modelling standards and business information. Do 1. Define and Develop Data Architecture that aids organization and clients in new/ existing deals a. Partnering with business leadership (adopting the rationalization of the data value chain) to provide strategic, information-based recommendations to maximize the value of data and information assets, and protect the organization from disruptions while also embracing innovation b. Assess the benefits and risks of data by using tools such as business capability models to create an data-centric view to quickly visualize what data matters most to the organization, based on the defined business strategy c. Create data strategy and road maps for the Reference Data Architecture as required by the clients d. Engage all the stakeholders to implement data governance models and ensure that the implementation is done based on every change request e. Ensure that the data storage and database technologies are supported by the data management and infrastructure of the enterprise f. Develop, communicate, support and monitor compliance with Data Modelling standards g. Oversee and monitor all frameworks to manage data across organization h. Provide insights for database storage and platform for ease of use and least manual work i. Collaborate with vendors to ensure integrity, objectives and system configuration j. Collaborate with functional & technical teams and clients to understand the implications of data architecture and maximize the value of information across the organization k. Presenting data repository, objects, source systems along with data scenarios for the front end and back end usage l. Define high-level data migration plans to transition the data from source to target system/ application addressing the gaps between the current and future state, typically in sync with the IT budgeting or other capital planning processes m. Knowledge of all the Data service provider platforms and ensure end to end view. n. Oversight all the data standards/ reference/ papers for proper governance o. Promote, guard and guide the organization towards common semantics and the proper use of metadata p. Collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing such data throughout an organization to ensure a common understanding, consistency, accuracy and control q. Provide solution of RFPs received from clients and ensure overall implementation assurance i. Develop a direction to manage the portfolio of all the databases including systems, shared infrastructure services in order to better match business outcome objectives ii. Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution for the big/small data iii. Provide technical leadership to the implementation of custom solutions through thoughtful use of modern technology iv. Define and understand current issues and problems and identify improvements v. Evaluate and recommend solutions to integrate with overall technology ecosystem keeping consistency throughout vi. Understand the root cause problem in integrating business and product units vii. Validate the solution/ prototype from technology, cost structure and customer differentiation point of view viii. Collaborating with sales and delivery leadership teams to identify future needs and requirements ix. Tracks industry and application trends and relates these to planning current and future IT needs 2. Building enterprise technology environment for data architecture management a. Develop, maintain and implement standard patterns for data layers, data stores, data hub & lake and data management processes b. Evaluate all the implemented systems to determine their viability in terms of cost effectiveness c. Collect all the structural and non-structural data from different places integrate all the data in one database form d. Work through every stage of data processing: analysing, creating, physical data model designs, solutions and reports e. Build the enterprise conceptual and logical data models for analytics, operational and data mart structures in accordance with industry best practices f. Implement the best security practices across all the data bases based on the accessibility and technology g. Strong understanding of activities within primary discipline such as Master Data Management (MDM), Metadata Management and Data Governance (DG) h. Demonstrate strong experience in Conceptual, Logical and physical database architectures, design patterns, best practices and programming techniques around relational data modelling and data integration 3. Enable Delivery Teams by providing optimal delivery solutions/ frameworks a. Build and maintain relationships with delivery and practice leadership teams and other key stakeholders to become a trusted advisor b. Define database physical structure, functional capabilities, security, back-up and recovery specifications c. Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results d. Monitor system capabilities and performance by performing tests and configurations e. Integrate new solutions and troubleshoot previously occurred errors f. Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards g. Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects h. Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams i. Recommend tools for reuse, automation for improved productivity and reduced cycle times j. Help the support and integration team for better efficiency and client experience for ease of use by using AI methods. k. Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams l. Ensures architecture principles and standards are consistently applied to all the projects m. Ensure optimal Client Engagement i. Support pre-sales team while presenting the entire solution design and its principles to the client ii. Negotiate, manage and coordinate with the client teams to ensure all requirements are met iii. Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor Mandatory Skills: Data Governance. Experience : 8-10 Years.

Manage and support the Delivery Operations Team by implementing and supporting ETL and automation procedures. Schedule and perform delivery operations functions to complete tasks and ensure client satisfaction. ESSENTIAL FUNCTIONS: Process data conversions on multiple platforms Perform address standardization, merge purge, database updates, client mailings, postal presort. Automate scripts to perform tasks to transfer and manipulate data feeds internal and external. Multitask ability to manage multiple Jobs to ensure timely client deliverability Work with technical staff to maintain and support an ETL environment. Work in a team environment with database/crm, modelers, analysts and application programmers to deliver results for clients. REQUIRED SKILLS: Experience in database marketing with the ability to transform and manipulate data. Experience with Oracle and SQL to automate scripts to process and manipulate marketing data. Experience with tools such as DMexpress, Talend, Snowflake, Sap DQM suite of tools, excel. Experience with Sql Server : Data exports and imports, ability to run Sql server Agent Jobs and SSIS packages. Experience with editors like Notepad++, Ultraedit, or any type of editor. Experience in SFTP and PGP to ensure data security and protection of client data. Experience working with large scale customer databases in a relational database environment. Proven ability to work on multiple tasks at a given time. Ability to communicate and work in a team environment to ensure tasks are completed in a timely manner MINIMUM QUALIFICATIONS: Bachelor's degree or equivalent 5+ years experience in Database Marketing. Excellent oral and written communication skills required.

Job description As a key member of the data team, you will be responsible for developing and managing business intelligence solutions, creating data visualizations, and providing actionable insights to support decision-making processes. You will work with the stakeholders closely to understand the business requirements, translate them into technical tasks and develop robust data analytics and BI solutions while ensuring high-quality deliverables and client satisfaction. Desired Skills and Experience Essential skills 3-4 years of experience in development and deployment of high-performance, complex Tableau dashboards Experienced in writing complicated tableau calculations and using Alteryx solutions transformation to arrive at the desired solution. SQL skills and solid expertise in database design principles with data warehousing concepts In-depth knowledge of data platforms like SQL server and similar platforms. Strong understanding of data models in business intelligence (BI) tools such as Tableau, and other analytics tools. Problem-solving skills with a track record of resolving complex technical issues. Exposure to Tableau server and ETL concepts Tableu and Alteryx certifications in data-related fields are preferred. Strong communication skills, both written and oral, with a business and financial aptitude. Design, develop, and maintain Alteryx workflows for data processing and reporting. Extract data from SAP systems using DVW Alteryx Connectors and other integration tools. Perform ETL operations using Alteryx and manage datasets within MS SQL Server. Collaborate with stakeholders to understand data requirements and deliver actionable insights. Create and maintain documentation for workflow, processes, and data pipelines. Independently manage assigned tasks and ensure timely delivery. Education: Bachelors or masters in science or engineering disciplines (Computer Science, Engineering, Maths, Physics, etc.) Key Responsibilities Develop impactful and self-serving Tableau dashboards and visualizations to support business functions Conduct in-depth data analysis, extracting insights and trends from the data warehouse using SQL. Fulfill ad-hoc data requests and create insightful reports for business stakeholders. Contribute to data documentation and data quality efforts from a reporting perspective. Translate business questions into data-driven answers and actionable recommendations. Optimize BI solutions for performance and scalability. Incorporate feedback from clients and continuously improve models, dashboards, and processes. Create and maintain comprehensive documentation covering Data Fabric architecture, processes, and procedures Strategize and ideate the solution design, develop visual mockups, storyboards, flow diagrams, wireframes and interactive prototypes Comfortable working with large, complex datasets and conducting data quality checks, validations, and reconciliations. Key Skills Tableau Desktop, Tableau Server, Alteryx Designer, Alteryx Server , Tableau Reporting, Dashboard Visualization, data Warehousing, data pipeline, MS SQL server , ETL, business Analysis, Agile Methodolgy, data management, troubleshooting , data modelling, digital transformation, data integration Key Metrics Strong hands-on experience in solutioning and deploying analytics visualization solutions using Tableau Strong hands-on knowledge of MS SQL Server , data warehousing and data pipelines Exposure to Tableau Server and Alteryx server. Tableau Desktop certified or Alteryx Designer certified is a puls.

Primary Skill: ETLTesting Secondary Skill:Azure 5+ years data warehouse testing experience, 2+ years of Azure Cloud experience. Strong understanding of data marts and data warehouse concepts Expert in SQL with the ability to create source-to-target comparison test cases in SQL Creation of test plans, testcases, traceability matrix, closure reports Proficient with Pyspark, Python, Git, Jira, JTM Location : Pune, Chennai, Coimbatore, Bangalore Band - B2 and B3 Mandatory Skills: ETL Testing. Experience: 3-5 Years.

About the Opportunity Job TypeApplication 31 July 2025 Title Technical Specialist Department Technology - Corporate Enablers (CFO Technology) Location Gurgaon / Bengaluru (Bangalore) India Reports To Senior Manager Level 4 About your team The Corporate Enablers technology function provides IT services to multiple business functions like Finance, HR and General Counsel, globally. CFO Technology collaborates with Finance and Procurement stakeholders globally to develop and support business applications that underpin all core finance processes across FIL. This includes on-premises and SaaS solutions, both in-house built and vendor provided. There is a strong focus on data analytics, workflow and automation tools to bring greater efficiency to these functions. Together with this there is continued move towards greater use of Agile and DevOps practices. CFO Technology team is a global team with people based in the UK, China, and India. About your role Join our team of enthusiastic technologists as we build the future of cloud-based Integration platform We are seeking a skilled and experienced Full stack Developer to join our team. The ideal candidate will have a strong background in API development and PLSQL Store procedures along with good understanding of Kubernetes,AWS,SnapLogic cloud-native technologies. This role requires deep technical expertise and the ability to work in a dynamic and fast-paced environment. About you Essential Skills Minimum 7 years of overall full stack (Python, Oracle/PLSQL) hands on experience of system software development, testing and maintenance Knowledge of latest Python frameworks and technologies (e.g., Django, Flask, FastAPI) Experience with Python libraries and tools (e.g., Pandas, NumPy, SQLAlchemy) Strong experience in designing, developing, and maintaining RESTful APIs. Familiarity with API security, authentication, and authorization mechanisms (e.g., OAuth, JWT) Good experience and hands-on knowledge of PL/SQL (Packages/Functions/Ref cursors) Experience in development & low-level design of Warehouse solutions Familiarity with Data Warehouse, Datamart and ODS concepts Knowledge of data normalisation and Oracle performance optimisation techniques Hands on development experience of AWS (S3, lambda, api gateway, EC2, CloudFront, Route53, Dynamo DB, vpc, subnets) Hands-on experience with Kubernetes for container orchestration Knowledge of deploying, managing, and scaling applications on Kubernetes clusters Should be able to provide technical design and architecture independently for business solutions Experience with cloud architecture and design principles, micro-services Good understanding of infra-aspects of technical solutions like storage, platform, middleware Should have clear understating on continuous integration, build, release, code quality Good understating of load balancing, disaster recovery aspects of solutions Good knowledge on security aspects like authentication, authorization by using open standards like oAuth Hands on with coding and debugging. Should be able to write high quality code optimized for performance and scale Good analytical- problem solving skills and should be good with algorithms Skills nice to have Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation). Experience with SnapLogic cloud-native integration platform. Ability to design and implement integration pipelines using SnapLogic. Experience in AI prompt engineering, Gen AI, LLM models , Agents Experience in CI/CD, TDD, DevOps, CI/CD tools - Jenkins/UrbanCode/SonarQube/ Bamboo Key Responsibilities Lead and guide a team of developers/senior developers Architect technical design of the application, document and present it to senior stakeholders Interact with senior architects and other consultants to understand and review the technical solution and direction Communicate with business analysts to discuss various business requirements Proactively refactor code/solution, be aggressive about tech debt identification and reduction Develop, maintain and troubleshoot issues; and take a leading role in the ongoing support and enhancements of the applications Help in maintaining the standards, procedures and best practices in the team. Also help his team to follow these standards. Prioritisation of requirements in pipeline with stakeholders Experience and Qualification: B.E./ B.Tech. or M.C.A. in Computer Science from a reputed University Total 8-10 years of experience with application development on Python language, API development along with Oracle RDBMS, SQL, PL/SQL Must have led a team of developers Feel rewarded For starters, we will offer you a comprehensive benefits package. We will value your wellbeing and support your development. And we will be as flexible as we can about where and when you work finding a balance that works for all of us. It is all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com. Our Values Integrity Doing the right thing, every time and putting the client first. Trust Empowering each other to take the initiative and make good decisions. Our Behaviours Brave - Challenging the status quo, being accountable and speaking up. Bold - Acting with conviction, encouraging diverse thinking, and keeping things simple. Curious - Learning to do new things in better ways and encouraging fresh thinking. Compassionate - Having empathy, caring for colleagues, clients

About the Opportunity Job TypeApplication 29 July 2025 Title Analyst Programmer Department WPFH Location Gurgaon Level 2 Intro Were proud to have been helping our clients build better financial futures for over 50 years. How have we achieved thisBy working together - and supporting each other - all over the world. So, join our [insert name of team/ business area] team and feel like youre part of something bigger. About your team The successful candidate would join the Data team . Candidate would be responsible for building data integration and distribution experience to work within the Distribution Data and Reporting team and its consumers. The team is responsible for developing new, and supporting existing, middle tier integration services and business services, and is committed to driving forwards the development of leading edge solutions. About your role This role would be responsible for liaising with the technical leads, business analysts, and various product teams to design, develop & trouble shoot the ETL jobs for various Operational data stores. The role will involve understanding the technical design, development and implementation of ETL and EAI architecture using Informatica / ETL tools. The successful candidate will be able to demonstrate an innovative and enthusiastic approach to technology and problem solving, will display good interpersonal skills and show confidence and ability to interact professionally with people at all levels and exhibit a high level of ownership within a demanding working environment. Key Responsibilities Work with Technical leads, Business Analysts and other subject matter experts. Understand the data model / design and develop the ETL jobs Sound technical knowledge on Informatica to take ownership of allocated development activities in terms of working independently Working knowledge on Oracle database to take ownership of the underlying SQLs for the ETL jobs (under guidance of the technical leads) Providing the development estimates Implement standards, procedures and best practices for data maintenance, reconciliation and exception management. Interact with cross functional teams for coordinating dependencies and deliverables. Essential Skils Technical Deep knowledge and Experience of using the Informatica Power Centre tool set min 3 yrs. Experience in Snowflake Experience of Source Control Tools Experience of using job scheduling tools such as Control-M Experience in UNIX scripting Strong SQL or Pl/SQL experience with a minimum of 2 years experience Experience in Data Warehouse, Datamart and ODS concepts Knowledge of data normalisation/OLAP and Oracle performance optimisation techniques 3 + Yrs Experience of either Oracle or SQL Server and its utilities coupled with experience of UNIX/Windows Functional 3 + years experience of working within financial organisations and broad base business process, application and technology architecture experience Experience with data distribution and access concepts with ability to utilise these concepts in realising a proper physical model from a conceptual one Business facing and ability to work alongside data stewards in systems and the business Strong interpersonal, communication and client facing skills Ability to work closely with cross functional teams About you B.E./B.Tech/MBA/M.C.A/Any other bachelors Degree. At least 3+years of experience in Data Integration and Distribution Experience in building web services and APIs Knowledge of Agile software development life-cycle methodologies

Database Administration Skills, Knowledge of Datawarehouse / Data Lake, Good SQL Development skills Working knowledge of Tables, Views, Schemas, Procedures, functions, triggers, CTE, Cursor, security (encrypt / decrypt), logs, data structures, database sizing, data integration and migration strategies, Import - Export Managing and tracking successful database software Installation, Patch Management and Maintenance Developing, managing, monitoring and maintaining data ETL and ELT jobs on Microsoft SQL Server and Oracle databases Working knowledge of Azure Data Factory & Synapse Working knowledge of data warehousing and data mining Should be able to initiate, execute, monitor database admin related activities in coordination with different software vendors Managing regulatory defined specific data handling based on nature of data and security requirements, example: PII data Developing, managing, monitoring and tracking database Backups and Recovery Managing and administrating both on-premise and Cloud databases and/or integrations within them Devising, monitoring and tracking database and data access Security mechanism for companys business software databases Managing and controlling the Authentication and authorization of data from company databases Responsible for Capacity Planning for any requirements related to data Continuously monitoring database servers performance and security, finding opportunities for improving implementations and performance Troubleshooting any database related issues and solving if possible else engaging vendor to resolve the same Preferred candidate profile: Relevant Years of Experience : 5 - 8 yrs.

Inviting applications for the role of Lead Consultant-Power BI Developer! Responsibilities: • Working within a team to identify, design and implement a reporting/dashboarding user experience that is consistent and intuitive across environments, across report methods, defines security and meets usability and scalability best practices • Gathering query data from tables of industry cognitive model/data lake and build data models with BI tools • Apply requisite business logic using data transformation and DAX • Understanding on Power BI Data Modelling and various in-built functions • Knowledge on reporting sharing through Workspace/APP, Access management, Dataset Scheduling and Enterprise Gateway • Understanding of static and dynamic row level security • Ability to create wireframes based on user stories and Business requirement • Basic Understanding on ETL and Data Warehousing concepts • Conceptualizing and developing industry specific insights in forms dashboards/reports/analytical web application to deliver of Pilots/Solutions following best practices

About the Role: Grade Level (for internal use): 07 The Team S&P Global Mobility is seeking someone who is self-motivated, passionate about data and automobiles and a willingness to work with a geographically dispersed Operations team. The North American VIN team, part of the Global Data Operations (GDO) team, is responsible for research, analysis, and maintaining over 200 vehicle attributes in the North American market. Our team serves as the first source of truth for data, integrating into multiple S&P Global products. We value collaboration and maintain excellent relationships with OEMs worldwide, striving to provide actionable intelligence to our customers. Responsibilities and Impact As member of our team you will get an opportunity to work on various data tools and applications. The team member will be responsible for: Research, Process, and Maintain Vehicle Data Conduct thorough research and capture, validate & manage data related to over 200 vehicle attributes in the North American market. Data Transformation Run SQL queries to extract data and transform results into Excel files for analysis and coding into our tools and applications. Client Queries and Case Investigation Investigate client queries and Salesforce cases, identify discrepancies in existing coded data, and provide findings to vertical leads. Provide Actionable Intelligence Strive to deliver actionable insights to customers, enhancing the value of S&P Global products. Identify Process Improvements Identify process improvements within products and work to automate existing processes. Gen AI innovation: Working on Gen AI ideas and S&P Global internal Gen AI tool (Spark) to make the existing process more efficient. What Were Looking for Required Qualifications: Educational Background B.Tech (Mechanical with specialization in Automobile Engineering preferred) or any other similar Bachelor/Master degrees. Experience: 1-3 years of experience in data management. Technical Skills Strong knowledge of MS Excel, Word, and PowerPoint. Scripting and Database Knowledge Proficiency in scripting languages such as Python & SQL/PLSQL, along with a solid understanding of relational databases. Attention to Detail High attention to detail and accuracy in data management tasks. Course Knowledge Familiarity with Data Management & Operations, analytics and business intelligence. Problem-Solving Skills Strong analytical thought process and a drive for learning. Communication Skills Strong written and verbal communication skills. Team Collaboration Ability to work effectively with a geographically dispersed Operations team. Preferred Qualifications: SQL, Python and Gen AI expert Automobile sector background About S&P Global Mobility At S&P Global Mobility, we provide invaluable insights derived from unmatched automotive data, enabling our customers to anticipate change and make decisions with conviction. Our expertise helps them to optimize their businesses, reach the right consumers, and shape the future of mobility. We open the door to automotive innovation, revealing the buying patterns of today and helping customers plan for the emerging technologies of tomorrow. For more information, visit www.spglobal.com/mobility . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP203 - Entry Professional (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

Data Architect Req number: R5758 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 We are seeking a highly skilled and experienced Data Architect with a strong background in Big Data technologies, Databricks solutioning, and SAP integration within the manufacturing industry. The ideal candidate will have a proven track record of leading data teams, architect scalable data platforms, and optimizing cloud infrastructure costs. This role requires deep hands-on expertise in Apache Spark, Python, SQL, and cloud platforms (Azure/AWS/GCP). This is a Full-time and Remote position. Job Description What You’ll Do Design and implement scalable, secure, and high-performance Big Data architectures using Databricks, Apache Spark, and cloud-native services. Lead the end-to-end data architecture lifecycle, from requirements gathering to deployment and optimization. Design repeatable and reusable data ingestion pipelines for bringing in data from ERP source systems like SAP, Salesforce, HR, Factory, Marketing systems etc. Collaborate with cross-functional teams to integrate SAP data sources into modern data platforms. Drive cloud cost optimization strategies and ensure efficient resource utilization. Provide technical leadership and mentorship to a team of data engineers and developers. Develop and enforce data governance, data quality, and security standards. Translate complex business requirements into technical solutions and data models. Stay current with emerging technologies and industry trends in data architecture and analytics. What You'll Need 6+ years of experience in Big Data architecture, Data Engineering and AI assisted BI solutions within Databricks and AWS technologies. 3+ Years of Experience with AWS Data services like S3, Glue, Lake Formation, EMR, Kinesis, RDS, DMS and others 3+ Years of Experience in building Delta Lakes and open formats using technologies like Databricks and AWS Analytics Services. Bachelor’s degree in computer science, information technology, data science, data analytics or related field Proven expertise in Databricks, Apache Spark, Delta Lake, and MLflow. Strong programming skills in Python, SQL, and PySpark. Experience with SAP data extraction and integration (e.g., SAP BW, S/4HANA, BODS). Hands-on experience with cloud platforms (Azure, AWS, or GCP), especially in cost optimization and data lakehouse architectures. Solid understanding of data modeling, ETL/ELT pipelines, and data warehousing. Demonstrated team leadership and project management capabilities. Excellent communication, problem solving and stakeholder management skills. Experience in the manufacturing domain, with knowledge of production, supply chain, and quality data. Certifications in Databricks, cloud platforms, or data architecture. Familiarity with CI/CD pipelines, DevOps practices, and infrastructure as code (e.g., Terraform). Physical Demands This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc. Ability to perform repetitive tasks on a computer, using 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.

2-3 years or more experience of successfully implementing Anaplan solutions and as an Architect on at least 2 Anaplan implementation projects. Total 5+ years of experience in related technologies. Domain experience in Telecom/Contract Management would be preferred. Anaplan certification of L1, L2, L3 and Solution Architect (Mandatory) certified. Understand clients business planning & performance management processes and related business requirements. Should provide meaningful observations on performance improvements, formula re-writing, troubleshooting and analyzing the problems and its related impacts within and across models. Hands-on in Anaplan New UX, ALM, Anaplan Connect, APIs. Guide and mentor other team members throughout the implementation process. Serve as the architectural SME for large-scale connected planning solutions. Provide candid, meaningful feedback and progress updates in a timely manner to the Project Manager/Business Partner and team. Develop Anaplan model documentation. Participate and/or lead Data Integration and Migration Solutions. Participate and/or lead UAT testing and deployment. Mandatory Skills: Anaplan. Experience: 5-8 Years.

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLAs defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers and clients business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLAs Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks Mandatory Skills: Azure Data Factory. Experience: 5-8 Years.

Excellent Knowledge on Spark; The professional must have a thorough understanding Spark framework, Performance Tuning etc Excellent Knowledge and hands-on experience of at least 4+ years in Scala and PySpark Excellent Knowledge of the Hadoop eco System- Knowledge of Hive mandatory Strong Unix and Shell Scripting Skills Excellent Inter-personal skills and for experienced candidates Excellent leadership skills Mandatory for anyone to have Good knowledge of any of the CSPs like Azure,AWS or GCP; Certifications on Azure will be additional Plus. Mandatory Skills: PySpark. Experience: 5-8 Years.

Role Purpose The purpose of the role is to define and develop Enterprise Data Structure along with Data Warehouse, Master Data, Integration and transaction processing with maintaining and strengthening the modelling standards and business information. Do 1. Define and Develop Data Architecture that aids organization and clients in new/ existing deals a. Partnering with business leadership (adopting the rationalization of the data value chain) to provide strategic, information-based recommendations to maximize the value of data and information assets, and protect the organization from disruptions while also embracing innovation b. Assess the benefits and risks of data by using tools such as business capability models to create an data-centric view to quickly visualize what data matters most to the organization, based on the defined business strategy c. Create data strategy and road maps for the Reference Data Architecture as required by the clients d. Engage all the stakeholders to implement data governance models and ensure that the implementation is done based on every change request e. Ensure that the data storage and database technologies are supported by the data management and infrastructure of the enterprise f. Develop, communicate, support and monitor compliance with Data Modelling standards g. Oversee and monitor all frameworks to manage data across organization h. Provide insights for database storage and platform for ease of use and least manual work i. Collaborate with vendors to ensure integrity, objectives and system configuration j. Collaborate with functional & technical teams and clients to understand the implications of data architecture and maximize the value of information across the organization k. Presenting data repository, objects, source systems along with data scenarios for the front end and back end usage l. Define high-level data migration plans to transition the data from source to target system/ application addressing the gaps between the current and future state, typically in sync with the IT budgeting or other capital planning processes m. Knowledge of all the Data service provider platforms and ensure end to end view. n. Oversight all the data standards/ reference/ papers for proper governance o. Promote, guard and guide the organization towards common semantics and the proper use of metadata p. Collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing such data throughout an organization to ensure a common understanding, consistency, accuracy and control q. Provide solution of RFPs received from clients and ensure overall implementation assurance i. Develop a direction to manage the portfolio of all the databases including systems, shared infrastructure services in order to better match business outcome objectives ii. Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution for the big/small data iii. Provide technical leadership to the implementation of custom solutions through thoughtful use of modern technology iv. Define and understand current issues and problems and identify improvements v. Evaluate and recommend solutions to integrate with overall technology ecosystem keeping consistency throughout vi. Understand the root cause problem in integrating business and product units vii. Validate the solution/ prototype from technology, cost structure and customer differentiation point of view viii. Collaborating with sales and delivery leadership teams to identify future needs and requirements ix. Tracks industry and application trends and relates these to planning current and future IT needs 2. Building enterprise technology environment for data architecture management a. Develop, maintain and implement standard patterns for data layers, data stores, data hub & lake and data management processes b. Evaluate all the implemented systems to determine their viability in terms of cost effectiveness c. Collect all the structural and non-structural data from different places integrate all the data in one database form d. Work through every stage of data processing: analysing, creating, physical data model designs, solutions and reports e. Build the enterprise conceptual and logical data models for analytics, operational and data mart structures in accordance with industry best practices f. Implement the best security practices across all the data bases based on the accessibility and technology g. Strong understanding of activities within primary discipline such as Master Data Management (MDM), Metadata Management and Data Governance (DG) h. Demonstrate strong experience in Conceptual, Logical and physical database architectures, design patterns, best practices and programming techniques around relational data modelling and data integration 3. Enable Delivery Teams by providing optimal delivery solutions/ frameworks a. Build and maintain relationships with delivery and practice leadership teams and other key stakeholders to become a trusted advisor b. Define database physical structure, functional capabilities, security, back-up and recovery specifications c. Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results d. Monitor system capabilities and performance by performing tests and configurations e. Integrate new solutions and troubleshoot previously occurred errors f. Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards g. Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects h. Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams i. Recommend tools for reuse, automation for improved productivity and reduced cycle times j. Help the support and integration team for better efficiency and client experience for ease of use by using AI methods. k. Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams l. Ensures architecture principles and standards are consistently applied to all the projects m. Ensure optimal Client Engagement i. Support pre-sales team while presenting the entire solution design and its principles to the client ii. Negotiate, manage and coordinate with the client teams to ensure all requirements are met iii. Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor Mandatory Skills: AI Application Integration. Experience: 10 YEARS.

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLAs defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers and clients business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLAs Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks Mandatory Skills: Data Analysis. Experience: 5-8 Years.

Assess database design requirements relevant to data capture tool, data extraction, processing and reporting. Design database based on protocol and clinical data manager specifications. Make recommendations to management concerning complex technical issues and provide solutions. Configuration and validation of mapping for datasets export from EDC. Program edit checks according to the specifications defined by the clinical data manager. Provide support in the fixing of any issues or required changes to eCRF and Edit Checks encountered during system testing, User Acceptance Testing (UAT) and deployment testing. Import external data in the EDC based on the Data transfer agreement developed in collaboration with the Clinical Data Manager and process. Able to manage multiple studies and projects simultaneously and deliver on the timelines. Able to provide support or manage edit checks testing and UAT if required. Archive study databases and related documents. Participate in the review and development of Quality documents (SOP and working practices). Qualifications Bachelor of Science degree or related field. Experienced EDC / eCRF design developer to deliver an eCRF based on protocol requirements. Knowledge and understanding of clinical research. Significant experience creating eCRFs using any of the eDC tools (egOracle RDC, Lifesphere, Ennov, Inform,"). Proven experience in eCRF development with a cross functional study team to meet timelines and deliverables. Experience with data management tools, technologies and processes. Ability to learn new process, programming languages. Additional Information PERSONAL CHARACTERISTICS Eurofins has a culture of high professional standards, with strong processes, and an eye for details. Candidates will need to be fully aligned with this culture, which implies a structured and analytical approach, pragmatism, and modesty. EVOLUTION About Eurofins Central Laboratory Eurofins Central Laboratory is a dynamic, global organization fully dedicated to providing global central laboratory services to support all phases of clinical trials. At Eurofins Central Laboratory, we are BOLD . We go beyond the expected. Since we are purely a central laboratory, there are no distractions allowing us to remain laser-focused on the best science, technology, and people. We are part of one of the world"™s leading laboratory organizations Eurofins Scientific, therefore we offer end-to-end testing solutions which are unsurpassed in the industry. Eurofins Central Laboratory is setting new standards with GLP capabilities embedded within our Central Laboratory. We support our customers with laboratory facilities in the USA, Europe, Singapore, and China, and a back-office in India.

Purpose of the Job and Expected outcome Configure the Laboratory Information Management System LIMS dbase throughout the duration of the study inline with the Clinical Protocol, performing appropriate QC controls according to global procedures and agreed specifications. Ensure that the electronic data generated is transferred to the customer as per the Data Specifications. Key Accountabilities Data Configuration Specialist supports activities for studies during all stages in such a way that: Tasks have been carried out independently, and the status or result is communicated back to all relevant parties. Database to be set up as per client protocol. Configure the study-specific requirements in the (LIMS) for central laboratory testing in clinical trials (e.g. visit schedule, testing panels and flagging). Collaborate with project management, laboratory, IT and clients. Is aware of key study milestones and prioritizes study activities to achieve the timelines. Format the Database as per desired type of data. Ensure that LIMS and other systems are correctly configured in line with study Priming Document. Maintain complete and current version controlled Data Study Files. Qualifications Experience: Minimum 2 years work experience. Education: Bachelor degree in a related field. Additional Information Other Proactiveis flexible, anticipates fast and accurate on problems, sets the right priorities and organize their own work by choosing an approach that leads to the right solution. Professionalismmastered knowledge and expertise regarding the work, works independently according professional standards. Quality orientedworks according the procedures and identifies matters that are not regulated and that need a decision of "˜a more experienced employee '. Monitors the implementation of the work. Customer driven, strong communication skills. Excellent command of the English language, spoken and written, knowledge of other languages is a plus. PERSONAL CHARACTERISTICS Eurofins has a culture of high professional standards, with strong processes, and an eye for details. Candidates will need to be fully aligned with this culture, which implies a structured and analytical approach, pragmatism, and modesty. EVOLUTION In a fast-growing group, successful leaders are frequently being offered increased areas of responsibility (subject to geographic mobility). GenderNo Preference.

> Long Description Bachelors Degree preferred, or equivalent combination of education, training, and experience. 5+ years of professional experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.) 3+ years of professional experience with Enterprise Domains Like HR, Finance, Supply Chain 6+ years of professional experience with more than one SQL and relational databases including expertise in Presto, Spark, and MySQL Professional experience designing and implementing real-time pipelines (Apache Kafka, or similar technologies) 5+ years of professional experience in custom ETL design, implementation, and maintenance 3+ years of professional experience with Data Modeling including expertise in Data Warehouse design and Dimensional Modeling 5+ years of professional experience working with cloud or on-premises Big Data/MPP analytics platform (Teradata, AWS Redshift, Google BigQuery, Azure Synapse Analytics, or similar) Experience with data quality and validation (using Apache Airflow) Experience with anomaly/outlier detection Experience with Data Science workflow (Jupyter Notebooks, Bento, or similar tools) Experience with Airflow or similar workflow management systems Experience querying massive datasets using Spark, Presto, Hive, or similar Experience building systems integrations, tooling interfaces, implementing integrations for ERP systems (Oracle, SAP, Salesforce, etc.) Experience in data visualizations using Power BI and Tableau. Proficiency in Python programming language and Python libraries, with a focus on data engineering and data science applications. Professional fluency in English required Mandatory Skills: Data Analysis. Experience: 5-8 Years. >

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLAs defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers and clients business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLAs Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks Mandatory Skills: Data Analysis. Experience: 5-8 Years. >

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement

Role: AWS Data engineer - Senior Associate Experience: : 5.5 -9 years Key Skills: AWS Educational Qualification: BE / B Tech / ME / M Tech / MBA Work Location: Bangalore Job Description As a Senior Associate, you will work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. Flexible to work in stretch opportunities/assignments. Demonstrate critical thinking and the ability to bring order to unstructured problems. Ticket Quality and deliverables review, Status Reporting for the project. Adherence to SLAs, experience in incident management, change management and problem management. Seek and embrace opportunities which give exposure to different situations, environments, and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Demonstrate leadership capabilities by working, with clients directly and leading the engagement. Work in a team environment that includes client interactions, workstream management, and cross-team collaboration. Good team player, take up cross competency work and contribute to COE activities. Escalation/Risk management. Position Requirements: Required Skills: AWS Cloud Engineer : Job description: Candidate is expected todemonstrateextensive knowledge and/or a proven record of success in the following areas: Should have minimum 5years hand on experience building advanced Data warehousing solutions on leading cloud platforms. Should have minimum 3-4yearsof Operate/Managed Services/Production Support Experience Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modelling, Data scientists etc. Designing and implementing data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems, such as data warehouses or data lakes. Should have experience in building efficient, ETL/ELT processes using industry leading tools like AWS, AWS GLUE, AWS Lambda, AWS DMS, PySpark, SQL, Python, DBT, Prefect, Snoflake, etc. Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in AWS. Work together with data scientists and analysts to understand the needs for data and create effective data workflows. Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Improve the scalability, efficiency, and cost-effectiveness of data pipelines. Monitoring and troubleshooting data pipelines and resolving issues related to data processing, transformation, or storage. Implementing andmaintainingdata security and privacy measures, including access controls and encryption, to protect sensitive data Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases Should have experience in Building andmaintainingData Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management and Data security) using industry leading tools Scaling andoptimizingschema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments. Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc. Should have Experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc. Should have Strong communication, problem solving, quantitative and analytical abilities. Nice to have: AWS certification Managed Services- Data, Analytics & Insights Managed Service At PwC we relentlessly focus on working with our clients to bring the power of technology and humans together and create simple, yet powerful solutions. We imagine a day when our clients can simply focus on their business knowing that they have a trusted partner for their IT needs. Every day we are motivated and passionate about making our clients better. Within our Managed Services platform, PwC delivers integrated services and solutions that are grounded in deep industry experience and powered by the talent that you would expect from the PwC brand. The PwC Managed Services platform delivers scalable solutions that add greater value to our clients enterprise through technology and human-enabled experiences. Our team of highly skilled and trained global professionals, combined with the use of the latest advancements in technology and process, allows us to provide effective and efficient outcomes. With PwCs Managed Services our clients are able to focus on accelerating their priorities, including optimizing operations and accelerating outcomes. PwC brings a consultative first approach to operations, leveraging our deep industry insights combined with world class talent and assets to enable transformational journeys that drive sustained client outcomes. Our clients need flexible access to world class business and technology capabilities that keep pace with today’s dynamic business environment. Within our global, Managed Services platform, we provide Data, Analytics & Insights where we focus more so on the evolution of our clients’ Data and Analytics ecosystem. Our focus is to empower our clients to navigate and capture the value of their Data & Analytics portfolio while cost-effectively operating and protecting their solutions. We do this so that our clients can focus on what matters most to your business: accelerating growth that is dynamic, efficient and cost-effective. As a member of our Data, Analytics & Insights Managed Service team, we are looking for candidates who thrive working in a high-paced work environment capable of working on a mix of critical Data, Analytics & Insights offerings and engagement including help desk support, enhancement, and optimization work, as well as strategic roadmap and advisory level work. It will also be key to lend experience and effort in helping win and support customer engagements from not only a technical perspective, but also a relationship perspective.

Primary Skills 6+ years as a Business Analyst in Investment Bank organization within Market Risk department Technical experience to be comfortable with data models and SQL Hands-on experience as liaison function between the onshore IT business lines and offshore technical teams and as primary functional support for development team Thorough experience in functional testing and validation of development Market Risk knowledge (Pnl calculation and explanation, VaR and Stress VaR analysis) Product Control knowledge (Pnl calculation and explanation, ) Financial products (Treasury, FX, Credit, IRD) Market data (Volatilities, Curves,), Sensitivities Regulatory knowledge (including Basel III, Basel II, Basel I, SIMM, FRTB, CVA, ) Technical knowledge in SQL, XML, HTML, UML, Business object, data warehouse, BI Project cycle methodology Strong technical skills in tests methodology Strong organizational skills Strong ability to analyze and summarize Secondary Skills Liaise with IT business lines contacts for clarification and understanding of requirements. Analyze functional impacts considering technical constraints with technical leads help Prepare and present functional aspects of changes/evolutions to developers Draft detailed functional specifications/users stories for developers, in line with general specifications or list of requirements provided by project manager / Business Analysts Support the technical development team in any functional aspects. Organize and keep up to date detailed functional documentation Conduct continuous testing in development environment for development monitoring