121 Data Modelling Jobs - Page 2

JobOpening Senior Data Engineer (Remote, Contract 6 Months) Remote | Contract Duration: 6 Months | Experience: 6-8 Years We are hiring a Senior Data Engineer for a 6-month remote contract position. The ideal candidate is highly skilled in building scalable data pipelines and working within the Azure cloud ecosystem, especially Databricks, ADF, and PySpark. You'll work closely with cross-functional teams to deliver enterprise-level data engineering solutions. #KeyResponsibilities Build scalable ETL pipelines and implement robust data solutions in Azure. Manage and orchestrate workflows using ADF, Databricks, ADLS Gen2, and Key Vaults. Design and maintain secure and efficient data lake architecture. Work with stakeholders to gather data requirements and translate them into technical specs. Implement CI/CD pipelines for seamless data deployment using Azure DevOps. Monitor data quality, performance bottlenecks, and scalability issues. Write clean, organized, reusable PySpark code in an Agile environment. Document pipelines, architectures, and best practices for reuse. #MustHaveSkills Experience: 6+ years in Data Engineering Tech Stack: SQL, Python, PySpark, Spark, Azure Databricks, ADF, ADLS Gen2, Azure DevOps, Key Vaults Core Expertise: Data Warehousing, ETL, Data Pipelines, Data Modelling, Data Governance Agile, SDLC, Containerization (Docker), Clean coding practices #GoodToHaveSkills Event Hubs, Logic Apps Power BI Strong logic building and competitive programming background Mode: Remote Duration: 6 Months Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

Power Bi and AAS expert (Strong SC or Specialist Senior) Should have hands-on experience of Data Modelling in Azure SQL Data Warehouse and Azure Analysis Service Should be able to write and test Dex queries. Should be able generate Paginated Reports in Power BI Should have minimum 3 Years working experience in delivering projects in Power Bi Must Have:- 3 to 8 years of experience working on design, develop, and deploy ETL processes on Databricks to support data integration and transformation. Optimize and tune Databricks jobs for performance and scalability. Experience with Scala and/or Python programming languages. Proficiency in SQL for querying and managing data. Expertise in ETL (Extract, Transform, Load) processes. Knowledge of data modeling and data warehousing concepts. Implement best practices for data pipelines, including monitoring, logging, and error handling. Excellent problem-solving skills and attention to detail. Excellent written and verbal communication skills Strong analytical and problem-solving abilities. Experience in version control systems (e.g., Git) to manage and track changes to the codebase. Document technical designs, processes, and procedures related to Databricks development. Stay current with Databricks platform updates and recommend improvements to existing process. Good to Have:- Agile delivery experience. Experience with cloud services, particularly Azure (Azure Databricks), AWS (AWS Glue, EMR), or Google Cloud Platform (GCP). Knowledge of Agile and Scrum Software Development Methodologies. Understanding of data lake architectures. Familiarity with tools like Apache NiFi, Talend, or Informatica. Skills in designing and implementing data models.

Role Purpose The purpose of the role is to liaison and bridging the gap between customer and Wipro delivery team to comprehend and analyze customer requirements and articulating aptly to delivery teams thereby, ensuring right solutioning to the customer. Do 1. Customer requirements gathering and engagement Interface and coordinate with client engagement partners to understand the RFP/ RFI requirements Detail out scope documents, functional & non-functional requirements, features etc ensuring all stated and unstated customer needs are captured Construct workflow charts and diagrams, studying system capabilities, writing specification after thorough research and analysis of customer requirements Engage and interact with internal team - project managers, pre-sales team, tech leads, architects to design and formulate accurate and timely response to RFP/RFIs Understand and communicate the financial and operational impact of any changes Periodic cadence with customers to seek clarifications and feedback wrt solution proposed for a particular RFP/ RFI and accordingly instructing delivery team to make changes in the design Empower the customers through demonstration and presentation of the proposed solution/ prototype Maintain relationships with customers to optimize business integration and lead generation Ensure ongoing reviews and feedback from customers to improve and deliver better value (services/ products) to the customers 2.Engage with delivery team to ensure right solution is proposed to the customer a.Periodic cadence with delivery team to: Provide them with customer feedback/ inputs on the proposed solution Review the test cases to check 100% coverage of customer requirements Conduct root cause analysis to understand the proposed solution/ demo/ prototype before sharing it with the customer Deploy and facilitate new change requests to cater to customer needs and requirements Support QA team with periodic testing to ensure solutions meet the needs of businesses by giving timely inputs/feedback Conduct Integration Testing and User Acceptance demos testing to validate implemented solutions and ensure 100% success rate Use data modelling practices to analyze the findings and design, develop improvements and changes Ensure 100% utilization by studying systems capabilities and understanding business specifications Stitch the entire response/ solution proposed to the RFP/ RFI before its presented to the customer b.Support Project Manager/ Delivery Team in delivering the solution to the customer Define and plan project milestones, phases and different elements involved in the project along with the principal consultant Drive and challenge the presumptions of delivery teams on how will they successfully execute their plans Ensure Customer Satisfaction through quality deliverable on time 3.Build domain expertise and contribute to knowledge repository Engage and interact with other BAs to share expertise and increase domain knowledge across the vertical Write whitepapers/ research papers, point of views and share with the consulting community at large Identify and create used cases for a different project/ account that can be brought at Wipro level for business enhancements Conduct market research for content and development to provide latest inputs into the projects thereby ensuring customer delight Deliver No. Performance Parameter Measure 1. Customer Engagement and Delivery Management PCSAT, utilization % achievement, no. of leads generated from the business interaction, no. of errors/ gaps in documenting customer requirements, feedback from project manager, process flow diagrams (quality and timeliness), % of deal solutioning completed within timeline, velocity generated. 2. Knowledge Management No. of whitepapers/ research papers written, no. of user stories created, % of proposal documentation completed and uploaded into knowledge repository, No of reusable components developed for proposal during quarter Mandatory Skills: Business Analysis. Experience: 8-10 Years.

Hi , Greetings from Euclid Innovations !!! We have openings for Technical Business Analyst with one of our Banking based Company as Remote work Mode. Position : Technical Business Analyst Experience : 10+ Years Location : Remote Notice Period: Immediate to 20 Days Max Skills set: FINANCIAL /CAPITAL MARKET and FIXED INCOME, EQUITY, CREDIT, Bond, Investment Banking any Duties and Responsibilities Assist in the Business Analysis phase including the capture and translation of business requirements turning these into functional requirements, and non-functional requirements (i.e. architectural, infrastructure, security, testing, migration, operational, DR). Ensuring appropriate documentation of requirements is captured and recorded (e.g. 'Requirement Story' in JIRA). Analysing end to end business streams to establish data requirements in line with XML/XSD modelling, specifically FpML, of entities across multiple business areas across multiple geographical regions. Logical Data Modelling working closely with both business and IT teams. Identification of common data requirements and helping to drive shared data platforms. Cleaning, mapping, and extending data sets to improve business processes and tools. Coordination and delivery management of solutions across Enterprise Delivery teams in support of end to end testing and production delivery. Adherence to existing global, local and department project standards for documentation, security, testing and release management. Qualifications, Skills and Experience Bachelors Degree or equivalent. Excellent technical analysis and investigatory skills. Ability to work with both business and IT staff in a pressured environment. Business analysis within an Agile development project. Strong data analysis skills to ensure accurate system data extracts and reconciliations working with large datasets. Proven track record of writing structured business requirements and functional specifications. Working knowledge of financial instruments: government bonds, SAS bonds, credit bonds, exchange traded bond futures, interest rate swaps, repos, stock lending and equities. Well-structured and logical approach to working. Good knowledge of Compliance business processes. Proven track record of supporting Back/Middle Office systems. Proven experience of developing mutually beneficial relationships with business stake holders, users, software solution providers, and other IT teams. Proven experience of full involvement in project life cycles within Investment Banking. Proven experience performing system testing and guiding users with building their functional plans for user testing. Ability to handle multiple work streams and assignments simultaneously. Proven experience of issue resolution through data mining and investigation if interested share profile to aruna.c@euclidinnovations.com

-Prepare, monitor and generate appropriate mathematical models and leverage WFM Tools to generate staffing requirements -Oversee the overall Capacity planning for HC Please Call/ Whatsapp @ 6002281943/7575955995/8559900185 Required Candidate profile -At least 2-3 years in a WFM planning role -Strong process and mathematical orientation -Experience of data modelling, simulations and scenario planning -Strong Communicator and decision maker

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 Deliver No Performance Parameter Measure 1. Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy Mandatory Skills: Tableau.

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 Deliver No Performance Parameter Measure 1. Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy Mandatory Skills: Tableau.

Data/ETL Architect/Data Modeler: Develop conceptual, logical, and physical data models to ensure accurate, scalable, and optimized data structures aligned with business requirements. Collaborate with business and technical teams to define data flow, transformation rules, and ensure alignment with data governance and quality standards. Design end-to-end ETL architecture and data integration solutions. Technologies - SQL, ETL, Big Data, ER Studio Role & responsibilities Preferred candidate profile

Your day at NTT DATA The Senior Data Scientist is an advanced subject matter expert, tasked with taking accountability in the adoption of data science and analytics within the organization. The primary responsibility of this role is to participate in the creation and delivery of data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques. What youll be doing Key Responsibilities: Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for client services and product enhancement. Designs and enhances data collection procedures to include information that is relevant for building analytic systems. Responsible for ensuring that data used for analysis is processed, cleaned and, integrally verified and build algorithms necessary to find meaningful answers. Designs and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources Provides meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Directs scalable and highly available applications leveraging the latest tools and technologies. Accountable for creatively visualizing and effectively communicating results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business. Creates SQL queries for the analysis of data and visualizes the output of the models. Responsible for ensuring that industry standards best practices are applied to development activities. Knowledge and Attributes: Advanced understanding of data modelling, statistical methods and machine learning techniques. Strong ability to thrive in a dynamic, fast-paced environment. Strong quantitative and qualitative analysis skills. Desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science. Curiosity to sift through data to find answers and more insights. Advanced understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face. Strong ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making. Strong ability to create a storyline around the data to make it easy to interpret and understand. Self-driven and able to work independently yet acts as a team player. Academic Qualifications and Certifications: Bachelors degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field. Relevant programming certification preferred. Agile certification preferred. Required Experience: Advanced demonstrated experience in a data science position in a corporate environment and/or related industry. Advanced demonstrated experience in statistical modelling and data modelling, machine learning, data mining, unstructured data analytics, natural language processing. Advanced demonstrated experience in programming languages (R, Python, etc.). Advanced demonstrated experience working with and creating data architectures. Advanced demonstrated experience with extracting, cleaning, and transforming data and working with data owners to understand the data. Advanced demonstrated experience visualizing and/or presenting data for stakeholder use and reuse across the business.

Your day at NTT DATA The Database Administrator is a seasoned subject matter expert, responsible for ensuring the availability, integrity and performance of critical data assets. This role works closely with cross-functional teams to support data-driven applications, troubleshoot issues, and implement robust backup and recovery strategies. The Database Administrator works closely with closely with Change Control, Release Management, Asset and Configuration Management and Capacity and Availability Management to establish the needs of users, monitoring user access and security and assists in controlling access to databases environments through permissions and privileges. What you'll be doing Key Responsibilities: Performs the installation, configuration, and maintenance of database management systems (DBMS), including SQL Server, Oracle, MySQL, or others, as required. Collaborates with software developers/architects to design and optimize database schemas, data models, and database-related applications. Assists with the mapping out of the conceptual design for a planned database. Participates in the writing of database documentation, including data standards, data flow diagrams, standard operating procedures and definitions for the data dictionary (metadata). Monitors database performance, identifies performance bottlenecks, and optimizes queries and indexing for optimal database performance. Continuously monitors database systems to ensure availability, proactively identify potential issues, and takes appropriate actions. Designs and implements robust backup and disaster recovery strategies to ensure data availability and business continuity. Monitors production databases regularly or respond to any database issues by bringing down the database or taking the database offline. Proactively supports the development of database utilities and automated reporting. Works closely with the Change Control and Release Management functions to commission and install new applications and customizing existing applications in order to make them fit for purpose. Plans and executes database software upgrades and applies patches to keep systems up-to-date and secure. Communicates regularly with technical, applications and operational employees to ensure database integrity and security. Ensures data integrity and consistency by performing regular data validation, integrity checks, and data cleansing activities. Works collaboratively with cross-functional teams, including developers, system administrators, network engineers, and business stakeholders, to support database-related initiatives. Provides technical support to end-users, assists with database-related enquiries, and conducts training sessions as needed. Performs any other related task as required. Knowledge and Attributes: Seasoned proficiency in database administration tasks, including database installation, configuration, maintenance, and performance tuning. Seasoned knowledge of SQL (Structured Query Language) to write complex queries, stored procedures, and functions. Seasoned understanding of database security principles, access controls, and data encryption methods. Seasoned working knowledge in database backup and recovery strategies to ensure data availability and business continuity. Ability to monitor database performance, identify and resolve issues, and optimize database operations. Ability to manage multiple projects concurrently while maintaining a high level of attention to detail on each project. Ability to learn new technologies as needed to provide the best solutions to all stakeholders. Ability to communicate complex IT information in simplified form depending on the target audience. Effective communication and collaboration skills to work with cross-functional teams and stakeholders. Seasoned proficiency understanding of the principles of data architecture and data services. Seasoned knowledge of application development lifecycle and data access layers. Excellent problem-solving skills to troubleshoot database-related issues and implement effective solutions. Excellent analytical skills related to working with unstructured datasets Ability to manipulate, process and extract value from large, disconnected datasets. Academic Qualifications and Certifications: Bachelors degree or equivalent in computer science, engineering, information technology or related field. Relevant certification, such as MCSE DBA, oracles associate or equivalent preferred. Relevant certifications such as Microsoft Certified; Azure Database Administrator Associate; Oracle Certified Professional (OCP) - Database Administrator; MySQL Database Administrator; PostgreSQL Certified Professional preferred. Completion of database management courses covering topics like database administration, data modelling, SQL, and performance tuning can provide foundational knowledge. Required Experience: Seasoned experience working as a Database Administrator within an Information Technology organization. Seasoned experience with database backup and recovery best practices. Seasoned experience running and creating health assessment reports. Seasoned experience working with suppliers to deliver solutions. Seasoned experience in Oracle Enterprise. Seasoned experience in Microsoft SQL Server. Seasoned experience managing databases.

Role Purpose The purpose of the role is to liaison and bridging the gap between customer and Wipro delivery team to comprehend and analyze customer requirements and articulating aptly to delivery teams thereby, ensuring right solutioning to the customer. Do 1. Customer requirements gathering and engagement Interface and coordinate with client engagement partners to understand the RFP/ RFI requirements Detail out scope documents, functional & non-functional requirements, features etc ensuring all stated and unstated customer needs are captured Construct workflow charts and diagrams, studying system capabilities, writing specification after thorough research and analysis of customer requirements Engage and interact with internal team - project managers, pre-sales team, tech leads, architects to design and formulate accurate and timely response to RFP/RFIs Understand and communicate the financial and operational impact of any changes Periodic cadence with customers to seek clarifications and feedback wrt solution proposed for a particular RFP/ RFI and accordingly instructing delivery team to make changes in the design Empower the customers through demonstration and presentation of the proposed solution/ prototype Maintain relationships with customers to optimize business integration and lead generation Ensure ongoing reviews and feedback from customers to improve and deliver better value (services/ products) to the customers 2. Engage with delivery team to ensure right solution is proposed to the customer a. Periodic cadence with delivery team to: Provide them with customer feedback/ inputs on the proposed solution Review the test cases to check 100% coverage of customer requirements Conduct root cause analysis to understand the proposed solution/ demo/ prototype before sharing it with the customer Deploy and facilitate new change requests to cater to customer needs and requirements Support QA team with periodic testing to ensure solutions meet the needs of businesses by giving timely inputs/feedback Conduct Integration Testing and User Acceptance demos testing to validate implemented solutions and ensure 100% success rate Use data modelling practices to analyze the findings and design, develop improvements and changes Ensure 100% utilization by studying systems capabilities and understanding business specifications Stitch the entire response/ solution proposed to the RFP/ RFI before its presented to the customer b. Support Project Manager/ Delivery Team in delivering the solution to the customer Define and plan project milestones, phases and different elements involved in the project along with the principal consultant Drive and challenge the presumptions of delivery teams on how will they successfully execute their plans Ensure Customer Satisfaction through quality deliverable on time 3. Build domain expertise and contribute to knowledge repository Engage and interact with other BAs to share expertise and increase domain knowledge across the vertical Write whitepapers/ research papers, point of views and share with the consulting community at large Identify and create used cases for a different project/ account that can be brought at Wipro level for business enhancements Conduct market research for content and development to provide latest inputs into the projects thereby ensuring customer delight Deliver / No . / Performance Parameter / Measure 1. Customer Engagement and Delivery Management PCSAT, utilization % achievement, no. of leads generated from the business interaction, no. of errors/ gaps in documenting customer requirements, feedback from project manager, process flow diagrams (quality and timeliness), % of deal solutioning completed within timeline, velocity generated. 2. Knowledge Management No. of whitepapers/ research papers written, no. of user stories created, % of proposal documentation completed and uploaded into knowledge repository, No of reusable components developed for proposal during quarter Mandatory Skills: ServiceNow - Platform Core.

Locations - Pune/Bangalore/Hyderabad/Indore Contract duration- 6 months Responsibilities Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms. Implement business and IT data requirements through new data strategies and designs across all data platforms (relational & dimensional - MUST and NoSQL-optional) and data tools (reporting, visualization, analytics, and machine learning). Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models. Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization. Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC. Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks. Must have Payments Background Skills Hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols). Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required. Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required. Experience in team management, communication, and presentation. Experience with Erwin, Visio or any other relevant tool.

Skill Set Required GCP, Data Modelling (OLTP, OLAP), indexing, DBSchema, CloudSQL, BigQuery Data Modeller - Hands-on data modelling for OLTP and OLAP systems. In-Depth knowledge of Conceptual, Logical and Physical data modelling. Strong understanding of Indexing, partitioning, data sharding with practical experience of having done the same. Strong understanding of variables impacting database performance for near-real time reporting and application interaction. Should have working experience on at least one data modelling tool, preferably DBSchema. People with functional knowledge of the mutual fund industry will be a plus. Good understanding of GCP databases like AlloyDB, CloudSQL and BigQuery.

Key Responsibilities : Design and develop data models to support business intelligence and analytics solutions. Work with Erwin or Erwin Studio to create, manage, and optimize conceptual, logical, and physical data models. Implement Dimensional Modelling techniques for data warehousing and reporting. Collaborate with business analysts, data engineers, and stakeholders to gather and understand data requirements. Ensure data integrity, consistency, and compliance with Banking domain standards. Work with Snowflake to develop and optimize cloud-based data models. Write and execute complex SQL queries for data analysis and validation. Identify and resolve data quality issues and inconsistencies. Required Skills & Qualifications : 7+ years of experience in Data Modelling and Data Analysis. Strong expertise in Erwin or Erwin Studio for data modeling. Experience with Dimensional Modelling and Data Warehousing (DWH) concepts. Proficiency in Snowflake and SQL for data management and querying. Previous experience in the Banking domain is mandatory. Strong analytical and problem-solving skills. Ability to work independently in a remote environment. Excellent verbal and written communication skills.

Key Responsibilities : Design and develop data models to support business intelligence and analytics solutions. Work with Erwin or Erwin Studio to create, manage, and optimize conceptual, logical, and physical data models. Implement Dimensional Modelling techniques for data warehousing and reporting. Collaborate with business analysts, data engineers, and stakeholders to gather and understand data requirements. Ensure data integrity, consistency, and compliance with Banking domain standards. Work with Snowflake to develop and optimize cloud-based data models. Write and execute complex SQL queries for data analysis and validation. Identify and resolve data quality issues and inconsistencies. Required Skills & Qualifications : 7+ years of experience in Data Modelling and Data Analysis. Strong expertise in Erwin or Erwin Studio for data modeling. Experience with Dimensional Modelling and Data Warehousing (DWH) concepts. Proficiency in Snowflake and SQL for data management and querying. Previous experience in the Banking domain is mandatory. Strong analytical and problem-solving skills. Ability to work independently in a remote environment. Excellent verbal and written communication skills.

Key Responsibilities : Design and develop data models to support business intelligence and analytics solutions. Work with Erwin or Erwin Studio to create, manage, and optimize conceptual, logical, and physical data models. Implement Dimensional Modelling techniques for data warehousing and reporting. Collaborate with business analysts, data engineers, and stakeholders to gather and understand data requirements. Ensure data integrity, consistency, and compliance with Banking domain standards. Work with Snowflake to develop and optimize cloud-based data models. Write and execute complex SQL queries for data analysis and validation. Identify and resolve data quality issues and inconsistencies. Required Skills & Qualifications : 7+ years of experience in Data Modelling and Data Analysis. Strong expertise in Erwin or Erwin Studio for data modeling. Experience with Dimensional Modelling and Data Warehousing (DWH) concepts. Proficiency in Snowflake and SQL for data management and querying. Previous experience in the Banking domain is mandatory. Strong analytical and problem-solving skills. Ability to work independently in a remote environment. Excellent verbal and written communication skills.

Extensive, hands on knowledge of Data Modelling, Data Architecture and Data Lineage Broad knowledge of banking products , Required Candidate profile financial products (ie international trade, credit physical data modelling preferably with cloud GCP

Experience - 8-10 years Responsibilities : - Data Gathering/Data Analysis/Data Modelling/Data Cleansing/Data formatting - AS IS and TO-BE business process analysis and process modelling including end-to-end data flows - Authoring data migration plan/cutover plan - Support change management activities - Supporting solution development team with data insights as required Mandatory Skills/Experience : - HCM project experience including upgrade/improvement projects - People/HR data & process knowledge and experience - Oracle HCM Cloud skills and experience - BI Dashboard skills and experience - ability to create/update - Demonstrated experience developing cutover plans/data migration plans - Ability to present complex data in easily consumable format to executive level Desirable/Preferred Skills : - R-Studio skills and experience to code level - Knowledge of coding languages - SQL, Python, R Ideal Candidate : - Strong customer facing skills - high standard of verbal/written communication skills - Self-starter with ability to work independently to lead data related work within large HCM project. - Ability to work across multiple initiatives simultaneously - Flexibility in work hours with global project team and business - Ability to work efficiently and effectively via remote work preferably working on US/Canada time zone). Location: Remote- Delhi / NCR,Bangalore/Bengaluru,Hyderabad/Secunderabad,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

What we ask Experience: 2-6 years of experience in Data Engineering roles. Technical Skills: Proficiency in SQL, Python and Big data technologies (PySpark, Hive, Hadoop) Strong understanding of data pipeline Familiarity with data visualization tools. Good understanding of ETL pipelines Good experience in Data modelling Communication Skills: Ability to communicate complex technical concepts. Strong collaborative and team-oriented mindset We would be excited if you have Excellent communication and interpersonal skills Ability to meet deadlines and manage project delivery Excellent report-writing and presentation skills Critical thinking and problem-solving capabilities Whats in it for you? A Happy Workplace! We create an environment where everyone feels welcome and we are more than just co-workers, sharing an informal and fun workplace. Our teams are highly adaptive, and our dynamic culture pushes everyone to create success in all dimensions. Lucrative Packages and Perks At Indium we recognize your talent and offer competitive salaries better than the market standards. In addition to appraisals, rewards, and recognition programs conducted regularly, we have performance bonuses, sign-offs, and joining bonuses to value your contributions and success for yourself and Indium. Your Health is Priority for Us! A healthy and happy workforce is important for us, hence we ensure that you and your dependents are covered under our Medical Insurance Policy. From 1:1 counselling session for your mental well-being to fun filled fitness initiatives we ensure you stay healthy and happy! Skill Up to Scale Up We believe in continuous learning as part of our core values and hence we provide excellent training initiatives along with access to our mainspring learning platform, Indium Academy to ensure you keep yourself equipped with the necessary technical skills for greater success. Work-Life Balance With Flexi hybrid working culture and 5-day work week structure, and lots of fun destressing initiatives we create a positive and relaxed environment to work with!

Workdays : Mon to Fri Job Description: The Data Scientist is responsible for contributing to the development of the strategy for Analytics, Reporting and Metrics building in line with overall Business Information Services strategy leveraging visualization tools/business intelligence platforms. Your role will include the following:- Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Leveraging business intelligence tools i.e Spotfire for analysis and review. Develop custom data models and algorithms to apply to data sets. Providing specialist support for development, interpretation and application of machine learning models Applying analytical and statistical methods to solve identified use cases in an agile manner using various data sources and analytical tools Work with key stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Liaising, advising and negotiating with key customer groups on requirements and proposing innovative solutions to meet their data modelling requirements Responsible for the development and implementation of capabilities to make provisioning of routine requests more routine, structured and efficient Contributing to initiatives that enable faster and more effective data modelling/analysis and provisioning Ensuring systems and code, documentation are inspection ready What Required: Were looking for someone with 3-5 years of experience manipulating data sets and building statistical models, has a Masters or PHD in Statistics, Mathematics, Computer Science. Experience using statistical computer languages Python & SQL (R Considered) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures. Experience of clinical data and domains (Experience working within Clinical Trials or the wider Pharmaceutical industry) preferable but not necessary Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques.

Extensive, hands on knowledge of Data Modelling, Data Architecture and Data Lineage Broad knowledge of banking products , financial products (ie international trade, credit physical data modelling preferably with cloud GCP

Key Responsibilities : Design and develop data models to support business intelligence and analytics solutions. Work with Erwin or Erwin Studio to create, manage, and optimize conceptual, logical, and physical data models. Implement Dimensional Modelling techniques for data warehousing and reporting. Collaborate with business analysts, data engineers, and stakeholders to gather and understand data requirements. Ensure data integrity, consistency, and compliance with Banking domain standards. Work with Snowflake to develop and optimize cloud-based data models. Write and execute complex SQL queries for data analysis and validation. Identify and resolve data quality issues and inconsistencies. Required Skills & Qualifications : 7+ years of experience in Data Modelling and Data Analysis. Strong expertise in Erwin or Erwin Studio for data modeling. Experience with Dimensional Modelling and Data Warehousing (DWH) concepts. Proficiency in Snowflake and SQL for data management and querying. Previous experience in the Banking domain is mandatory. Strong analytical and problem-solving skills. Ability to work independently in a remote environment. Excellent verbal and written communication skills.

What you will do Role Description: The Scrum Master is a leader and coach who facilitates Scrum events and processes, delivering value for the Global Quality Data and Analytics product team. The role involves facilitating communication and collaboration among teams, ensuring alignment with the program vision, managing risks and dependencies, and driving relentless improvement. The Scrum master helps adapt SAFe to the organizations needs, standardizing and documenting practices. The role requires a solid background in the end-to-end software development lifecycle and a Scaled Agile practitioner, coupled with leadership and transformation experience. Roles & Responsibilities: Lead and manage product delivery using agile frameworks and techniques. Align with Agile values, such as prioritizing individuals and interactions over processes and tools. Ensure day-to-day operations by automating tasks, monitoring system health, and minimizing downtime through incident response Capture the voice of the customer to define business processes and product needs Collaborate with Global Quality business stakeholders, architects, and engineering teams to prioritize release scopes and refine the product backlog Lead and facilitate breakdown of Epics into Features and sprint-sized user stories and participate in backlog reviews with the development team Clearly express features in user stories/requirements so all team members and stakeholders understand how they fit into the product backlog Ensure Acceptance Criteria and Definition of Done are well-defined Advise SAFe events, including PI Planning, Scrum of Scrums, and Inspect & Adapt workshops Stay focused on software development to ensure it meets requirements, providing proactive feedback to stakeholders Help develop and maintain a product roadmap that clearly outlines the planned features and enhancements, timelines, and achievements Identify and manage risks associated with the systems, requirement validation, and user acceptance Develop & maintain documentation of configurations, processes, changes, communication plans and training plans for end users Collaborate with geographically dispersed teams, including those in the US and other international locations Foster a culture of collaboration, innovation, and continuous improvement Leverage agile tools such as Jira / Jira Align, Smartsheets and Confluence What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Masters degree with 4 - 6 years of experience in Computer Science/Information Systems experience with Agile Software Development methodologies OR Bachelors degree with 6 - 8 years of experience in Computer Science/Information Systems experience with Agile Software Development methodologies OR Diploma with 10 - 12 years of experience in Computer Science/Information Systems experience with Agile Software Development methodologies Must-Have Skills: Strong understanding of Agile methodologies, particularly the Scaled Agile Framework (SAFe) Prior experience with Agile project management tools, such as Jira, Confluence and Jira Align Experience in guiding teams through Agile events and ensuring adherence to SAFe practices and behaviors Preferred Qualifications: Experience in managing product features for PI planning and developing product roadmaps and user journeys Experience maintaining SaaS (software as a system) solutions and COTS (Commercial off the shelf) solutions Technical thought leadership Able to communicate technical or complex subject matters in business terms Familiarity with GxP computer system validation Experience with Project planning/ Data modelling tools such as Smartsheet, Lucid, Miro, etc. Professional Certifications: Certified SAFe Scrum Master or similar (preferred) ITIL (preferred) Soft Skills: Able to work under minimal supervision Skilled in providing oversight and mentoring team members. Demonstrated ability in effectively delegating work Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills

Key Responsibilities Lead the design, development, and deployment of Oracle Fusion SaaS solutions, particularly in Supply Chain and Finance. Build and maintain integrations using Oracle Integration Cloud (OIC), REST/SOAP web services, and middleware tools. Customize and extend Fusion applications using BI Publisher, OTBI, FBDI, HDL, and ADF. Translate business requirements into technical specifications and detailed solution designs. Support the full development lifecycle including change management, documentation, testing, and deployment. Participate in formal design/code reviews and ensure adherence to coding standards. Collaborate with IT service providers to ensure quality, performance, and scalability of outsourced work. Provide Level 3 support for critical technical issues. Stay current with emerging Oracle technologies and contribute to continuous improvement initiatives. Experience 5+ years of hands-on experience in Oracle Fusion SaaS development and technical implementation. Proven experience with Oracle Fusion Supply Chain and Finance modules. Intermediate level of relevant work experience (3-5 years minimum). Skills & Technical Expertise Strong knowledge of Oracle SaaS architecture, data models, and PaaS extensions. Proficiency in Oracle Integration Cloud (OIC), REST/SOAP APIs. Experience with Oracle tools: BI Publisher, OTBI, FBDI, HDL, ADF. Ability to analyze and revise existing systems for improvements. Familiarity with SDLC, version control, and automation tools. Qualifications Bachelor s degree in Computer Science, Information Technology, Business, or a related field (or equivalent experience). Relevant certifications in Oracle Fusion or related technologies are a plus. Compliance with export controls or sanctions regulations may be required. Core Competencies Customer Focus - Builds strong relationships and delivers customer-centric solutions. Global Perspective - Applies a broad, global lens to problem-solving. Manages Complexity - Navigates complex information to solve problems effectively. Manages Conflict - Resolves conflicts constructively and efficiently. Optimizes Work Processes - Continuously improves processes for efficiency and effectiveness. Values Differences - Embraces diverse perspectives and cultures. Technical Competencies Solution Design & Configuration - Designs scalable, secure, and maintainable solutions. Solution Functional Fit Analysis - Evaluates how well components interact to meet business needs. Solution Modeling & Validation Testing - Creates models and tests solutions to ensure they meet requirements. Performance Tuning & Data Modeling - Optimizes application and database performance.

Primary Skills: Oracle Database, Postgres, Database design Secondary Skills: Data modelling, Performance Tuning, ETL processes, Automating Backup and Purging Processes Skill Justification Database Designing, Data Modelling, and Core Component Implementation: These are fundamental skills for a DBA. Database designing involves creating the structure of the database, data modelling is about defining how data is stored, accessed, and related, and core component implementation ensures that the database is set up correctly and efficiently. Data Integration and Relational Data Modelling: Data integration is crucial for combining data from different sources into a unified view, which is essential for accurate reporting and analysis. Relational data modelling helps in organizing data into tables and defining relationships, which is a core aspect of managing relational databases. Optimization and Performance Tuning: Optimization and performance tuning are critical for ensuring that the database runs efficiently. This involves analyzing and improving query performance, indexing strategies, and resource allocation to prevent bottlenecks and ensure smooth operation. Automating Backup and Purging Processes: Automating backup and purging processes is vital for data integrity and storage management. Regular backups protect against data loss, while purging old or unnecessary data helps maintain database performance and manage storage costs.