1165 Data Modelling Jobs

AI/ML Engineer Responsibilities: Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Ensuring that algorithms generate accurate user recommendations. Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions. Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Developing ML algorithms to huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. ...

Responsibilities: • Develop, deploy, and manage OLAP cubes and tabular models. • Collaborate with data teams to design and implement effective data solutions. • Troubleshoot and resolve issues related to SSAS and data models. • Monitor system performance and optimize queries for efficiency. • Implement data security measures and backup procedures. • Stay updated with the latest SSAS and BI technologies and best practices. Qualifications: • Bachelor's degree in Computer Science, Information Technology, or a related field. • 7+ years of experience working with SSAS (SQL Server Analysis Services). • Strong understanding of data warehousing, ETL processes, OLAP concepts and data modelling concep...

Education : Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology Certificate : Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization. Cloud platform certification, e.g., AWS Certified Data Analytics Specialty, Elastic Certified Engineer, Google CloudProfessional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate As a Data Engineer at our client company, you'll be at the forefront of the data revolution, crafting and shaping data platforms that power our organization's success. This role is not just about code and databases; it's about transforming raw data into actio...

Location - Pune / Noida / Hyderabad / Chennai / Bangalore Shift Time - 12:30 to 9:30 PM Key Responsibilities - - Must have at least 4 years of experience as a Snowflake Data Architect and 8 years in Data Warehouse, ETL, and BI projects - Responsible for designing and implementing secure, scalable, and highly available cloud-based solutions and estimation on Snowflake - To be able to clearly articulate pros and cons of various technologies and platforms - Ability to recommend and design strategies for snowflake compute optimization - query performance, concurrency management. - Design Snowflake data architectures that are both scalable and efficient, aligning with business needs and best prac...

Role & responsibilities Proven experience as a Power BI Developer, Power BI Analyst, or similar role. Proficiency in SQL, DAX, and Power Query for data manipulation and analysis. Strong understanding of data warehousing concepts, data governance, and best practices. Analytical mindset with a focus on detail and problem-solving skills. Excellent communication and interpersonal skills. Experience with advanced visualization techniques in Power BI. Ability to work in a fast-paced environment and manage multiple tasks simultaneously. Experience in data integration, ETL processes, and data modelling. Understanding of Power Apps, Power Automation, Power Platforms is a plus. Understanding of Azure ...

Role & responsibilities Hands-on experience designing and implementing AWS cloud infrastructure at scale, leveraging services such as Glue, Lambda, S3, SNS, and EventBridge. Proficiency in scripting languages like Python or Bash for automating cloud operations, ETL workflows, and Snowflake tasks. Expertise in Snowflake Data Platform, including: Data modelling and Governance, schema design, and query optimization. Implementing Snowflake best practices for performance tuning, cost optimization, and security. Managing Snowflake features such as Virtual Warehouses, Streams, Tasks, Masking, and Time Travel. Strong understanding of ETL/ELT methodologies, with experience integrating diverse data so...

Role Overview: You should have at least 5-8 years of experience and must possess end-to-end implementation experience in Customer based projects and Capital projects. Experience in various PS standard reports & Standard tables, preferably in S4HANA, is required. Additionally, you should have hands-on experience in customization/configuration of SAP PS (Project Systems) module and at least one roll-out project experience, preferably in S4HANA. Key Responsibilities: - Configure WBS, Networks, Cost Planning, Budgeting, Project Procurement, Timesheets, Project settlement, etc. in SAP S4 HANA PS - Demonstrate a strong knowledge of Project Profile, Network Profile, Network Order Type, and Scheduli...

**Job Description:** As an Informatica MDM Developer, you should have over 9 years of experience with a minimum of 5 years specifically in MDM on-premises solutions. Your proficiency should include Informatica MDM components such as Hub Console, IDD, Match & Merge, and Hierarchy Manager. You are expected to have a strong knowledge of Informatica Data Quality and data profiling, along with experience in SQL, PL/SQL, and relational databases like Oracle and Teradata. Your understanding of data modelling, data integration, and ETL processes will be crucial in this role. You should have hands-on experience implementing MDM solutions in domains like Customer, Product, or Employee, and be familiar...

As an AWS ETL developer with 5-8 years of experience, you will be the key person responsible for handling all data-related tasks. Your role will involve utilizing your expertise in various AWS services such as EC2, IAM, KMS keys, AWS Lambda, Batch, Terraform/CFT, Event Bridge, Managed Kafka, Kinesis, Glue, and PySpark. A strong understanding of data modeling concepts will be crucial for effectively fulfilling your responsibilities. Proficiency in Python and other programming languages is essential for success in this role. Additionally, familiarity with different SQL/NOSQL data storage techniques will greatly benefit you. Your SQL skills, including query performance tuning, index management,...

Role Overview: As a Developer, you will be responsible for day-to-day development activities requiring expertise in various concepts related to RDBMS, Data Modelling, ETL, and Azure tools. Your primary focus will be on building scalable data pipelines, orchestrating workflows, and optimizing data transformations for large-scale integrations. Key Responsibilities: - Demonstrate expert-level knowledge in RDBMS (SQL Server) including SQL query writing, object creation, performance optimization, and DWH operations. - Understand Transactional and Dimensional Data Modelling, Star Schema, Facts/Dimensions, and Relationships. - Work with ETL concepts and tools such as Azure Data Factory, Azure Datab...

Role Overview: As a member of our team, you will be responsible for preparing designs for database systems, developing physical and logical data models, and designing various ETL processes. Your role will involve recommending improvements for performance, creating data models, and performing tests on data. We are seeking highly motivated individuals with a minimum of 2 years of experience in data modeling for enterprise applications. Key Responsibilities: - Prepare designs for database systems and recommend improvements for performance. - Develop physical and logical data models. - Design various ETL processes, create data models, and perform tests on data. Qualifications Required: - Minimum...

You are a strategic thinker passionate about driving solutions in Data Modelling. You have found the right team. As a Data Modeler within our team, you will be responsible for designing, developing, and optimizing data models to support data integration, transformation, and analytics within Databricks. You will handle data from various sources, ensuring scalable, efficient, and high-quality data solutions. **Job Responsibilities:** - Design and implement data models (conceptual, logical, and physical) to support business requirements. - Work with structured and unstructured data from multiple sources and integrate them into Databricks. - Collaborate with data engineers, analysts, and busines...

As an Assistant Manager - Data Analyst, your role will involve leading and managing the end-to-end analytics lifecycle. This includes tasks such as data collection, processing, analysis, and visualization. You will collaborate with business stakeholders to understand requirements, define key performance indicators (KPIs), and provide actionable insights. Furthermore, you will be responsible for developing and maintaining dashboards, scorecards, and reports using BI tools like Power BI, Tableau, or Qlik. Ensuring data quality, integrity, and governance processes are accurate and consistent will also be a part of your responsibilities. Additionally, you will manage, mentor, and develop a team ...

As a Data Platform, Engineering, and Operations lead at Qualcomm India Private Limited, you will be a key player in shaping the future of data capabilities within the Enterprise Data Transformation program. Your role will involve driving the build-out of a modern enterprise-wide lake house, ensuring reliability, scalability, security, and compliance, while enabling cutting-edge analytics solutions. You will lead a talented team of platform and data engineers, fostering a culture of excellence and innovation. Key Responsibilities: - Define and lead the vision, strategy, and roadmap for data platforms, aligning with business objectives and technological advancements. - Oversee rapid incrementa...

As a Data Modeller at Barclays, you will play a crucial role in revolutionizing the digital landscape and ensuring unparalleled customer experiences. You will work alongside a team of developers to deliver technology solutions, leveraging your strong analytical and problem-solving skills to understand business requirements and provide quality solutions. **Key Responsibilities:** - Partner with business stakeholders to understand their data needs and translate requirements into clear data modelling specifications. - Design and implement high-quality data models that optimize data access, storage, and analysis, ensuring alignment to BCDM. - Create comprehensive documentation of data models, in...

As a Technical Consultant at our company, you will play a crucial role in understanding complex technical and architectural issues, interacting with stakeholders at all levels, and providing expert advice on technical solutions. Your key responsibilities will include: - Developing architecture design principles for a line of business and the technical platform - Reviewing and shaping technical solution/architecture plans - Providing advice and guidance on technical design and solution options based on business processes - Defining governing principles for translating business requirements into technical solutions - Making suggestions for practical trade-offs in design and ensuring compliance...

As a Senior Business Intelligence (BI) Analyst in the financial domain, your role will involve transforming data into meaningful insights to enhance decision-making and regulatory reporting capabilities. You will be required to have deep expertise in SQL and BI tools, along with proven experience in RBI and compliance reporting. Additionally, you should be forward-thinking in exploring AI-driven enhancements in reporting and analytics. **Key Responsibilities:** - Design, develop, and automate BI reports, dashboards, and data models to support financial, regulatory, and operational decision-making. - Own and manage RBI, statutory, and compliance reports, ensuring completeness, accuracy, and t...

As a Technical Data Analyst at our company, your primary responsibilities will include: - Conducting data analysis to meet the business requirements - Designing data platform solutions for efficient data flow from source - Mapping source data elements to the target table - Proficiency in SQL, including Teradata, Oracle, DB2, MSSQL, and DAS - Experience with ETL, EDW, and Informatica - Familiarity with Data lake and Azure technologies - Knowledge of Data Warehouse architecture - Understanding of data modelling and Data Architecture Additionally, experience in the banking domain would be considered a plus. Please note that the job description does not include any additional details about the c...

Greetings!!! We have an urgent opening Sr. Business System Analyst with Workday & HR Data Management- Hybrid for Bangalore. Role:-Sr. Business System Analyst Location- Hybrid for Bangalore Duration: Long term Contractual Budget: 25 LPA Shift: IST time Immediate to 15 days Joiner JD: Key skills - Candidate should be very good in data modelling part Good in data engineering. It is techno functional role. More of workday profile and data handling capacity If you're interested, please send your resume to suhas@iitjobs.com.

Job Responsibilities Report and Dashboard Development: Design, develop, and maintain interactive dashboards and reports using BI reporting tools like Tableau. Collaborate with stakeholders to define report requirements and KPIs. Data Modeling and ETL: Develop data models and ETL processes to extract, transform, and load data into BI tools. Optimize data pipelines for performance and efficiency. Business Collaboration: Collaborate with business users to understand their data needs and translate them into actionable insights. Communicate complex technical concepts to non-technical stakeholders. Provide training and support to end-users on BI tools and reports. Data Analysis and Insights: Analy...

JOB DESCRIPTION Job Title: Architect - Data Modeling Location: Bengaluru, Chennai, Hyderabad. What do we expect? 10+ years of experience in Data space. Decent SQL knowledge Able to suggest modeling approaches for a given problem. Significant experience in one or more RDBMS (Oracle, DB2, and SQL Server) Real-time experience working in OLAP & OLTP database models (Dimensional models). Comprehensive understanding of Star schema, Snowflake schema, and Data Vault Modelling. Also, on any ETL tool, Data Governance, and Data quality. Eye to analyze data & comfortable with following agile methodology. Adept understanding of any of the cloud services is preferred (Azure, AWS & GCP) Enthuse to coach te...

• Must have: Azure Databricks, Pysparks, SQL, Devops(CI/CD), Azure services(ADF, ADLS, Event Hub), Gen AI, Data modelling • Good to have: Agentic AI, Streaming Analytics

As a Vice President, Risk and Compliance AI and Analytics at HSBC, you will have the functional responsibility for one or more teams within RC AI & Analytics. Your role will involve applying a combination of applied mathematics, statistics, advanced computing (machine learning, artificial intelligence), visualization, and data engineering to protect the bank from Regulatory conduct risk exposure. You will champion best-in-class model risk management to support the safe deployment of analytical solutions and oversee the research & monitoring of bespoke analytical products to help the Regulatory Compliance function identify, measure, and mitigate emerging regulatory risks. Your responsibilitie...

As a Business Intelligence Analyst / Data Analyst at our company, you will play a crucial role in designing efficient data models, collaborating with data engineering teams, optimizing DAX calculations, and providing valuable insights to drive business objectives. Your main responsibilities will include: - Designing efficient data models and relationships to support analytical and reporting needs. - Collaborating with data engineering teams to ensure seamless integration of data from various sources. - Optimizing DAX calculations and queries for performance efficiency. - Working independently to identify and resolve issues in data modelling and reporting. - Utilizing AI tools to enhance prod...

Role Overview: You are an expert in all aspects of data management and analysis with a strong ability to convert data into meaningful insights. Your role involves leading the end-to-end business intelligence lifecycle from gathering business requirements, data provisioning, and modeling, to reporting and insight generation enabling strategic decision-making across teams. Key Responsibilities: - Lead data collection, validation, transformation, and analysis from multiple internal and external sources. - Translate complex business problems into data models and analytical frameworks. - Source and organize data using advanced data provisioning tools, ensuring datasets are optimized for analysis....