1220 Data Modelling Jobs - Page 44

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. ...

The SQL+Power BI Lead is responsible for designing, developing, and maintaining complex data solutions using SQL and Power BI. They serve as a technical lead, guiding the team in implementing best practices and efficient data architectures. The SQL+PowerBI Lead plays a key role in translating business requirements into effective data and reporting solutions. Design and develop advanced SQL queries, stored procedures, and other database objects to support data extraction, transformation, and loading Create dynamic, interactive PowerBI dashboards and reports to visualize data and provide insights Provide technical leadership and mentorship to junior team members on SQL and PowerBI best practic...

About our team DEX is a central data org for Kotak Bank which manages entire data experience of Kotak Bank. DEX stands for Kotaks Data Exchange. This org comprises of Data Platform, Data Engineering and Data Governance charter. The org sits closely with Analytics org. DEX is primarily working on greenfield project to revamp entire data platform which is on premise solutions to scalable AWS cloud-based platform. The team is being built ground up which provides great opportunities to technology fellows to build things from scratch and build one of the best-in-class data lake house solutions. The primary skills this team should encompass are Software development skills preferably Python for pla...

We are seeking a highly experienced Data Modeler with expertise in Data Modelling, Data Analysis, and Dimensional Modelling The ideal candidate should have hands-on experience with Erwin or Erwin Studio, Data Warehousing (DWH), Snowflake, and SQL The role involves designing and developing data models to support business intelligence and analytics solutions while ensuring data integrity, consistency, and compliance with Banking domain standards Responsibilities include working with Snowflake to optimize cloud-based data models, executing complex SQL queries for data analysis, and resolving data quality issues The candidate should have strong analytical and problem-solving skills, prior experi...

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. ...

Job Description: 12+ years of experience as a Technical Architect, , or similar role with a focus on Azure Data Bricks, Power BI, and ETL. Expertise in designing and implementing data architectures using Azure Data Bricks (ADB). Strong proficiency in Power BI for building scalable reports and dashboards. In-depth knowledge of ETL tools and processes, particularly with Azure Data Factory and other Azure-based ETL solutions. Proficiency in SQL and familiarity with data warehousing concepts (e.g., star schema, snowflake schema). Strong understanding of cloud computing and Azure services, including storage, compute, and security best practices. Experience with data lake architecture, data pipeli...

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. ...

Role & responsibilities Responsibilities: • Design, develop, and maintain Tableau dashboards and reports • Collaborate with business stakeholders to gather and understand requirements and translate the same into effective visualizations that provide actionable insights • Creating wireframes and beta dashboards with a focus on user experience, correctness, and visibility • Optimize Tableau dashboards for performance and usability • Develop and maintain documentation related to Tableau solutions Preferred candidate profile Skills & Requirement (Must Have): • 2-3 years of experience working in developing, publishing maintaining and managing Tableau dashboards • Working knowledge of Tableau admi...

R Primary Skills :Stored procedures, Relational Data Modeling, sql, Enterprise Data Modeling, Data Modeling Secondary Skills :Snowflake Modeling, snowflake warehouse, Snowflake Degree :Bachelor of Computer Science, BCA, BE, BE Computer Engineering, BE-IT, BTECH, M.Tech, MCA Branch :Computer Science and Engineering, Computer Engineering View rights : Job Description: Must Have Skills: 4-8 years of overall experience 4 years' experience in designing, implementing, and documenting data architecture and data modeling solutions, which include the use of Azure SQL and Snowflake databases and SQL procedures. Knowledge of relational databases and data architecture computer systems, including SQL Be ...

Role Synopsis This role is a senior-level position within a data science team, responsible for providing leadership, strategic direction, and technical expertise in the field of data science and machine learning. This role involves leading all aspects of and guiding a team of data scientists while collaborating closely with multi functional departments, such as engineering, product management, and business collaborators. The Lead Data Scientist plays a pivotal role in crafting data-driven strategies and solutions that chip in to the organization's success and growth Key Accountabilities Data Analysis and Modeling: Lead data scientists must have a confirmed foundation in data analysis and a d...

Bachelors in computer science, Information Systems, or a related field Minimum of 10+ years of experience in data architecture with a minimum of 1-3 years of experience in healthcare domain Strong hands-on experience with Cloud databases such as Snowflake, Aurora, Google BigQuery etc. Experience in designing OLAP and OLTP systems for efficient data analysis and processing. Strong handson experience with enterprise BI/Reporting tools like (Looker, AWS QuickSight, PowerBI, Tableau and Cognos). A strong understanding of HIPAA regulations and healthcare data privacy laws is a must-have for this role, as the healthcare domain requires strict adherence to data privacy and security regulations. Exp...

Job Title: Lead Data Engineer Job Summary The Lead Data Engineer will provide technical expertise in analysis, design, development, rollout and maintenance of data integration initiatives. This role will contribute to implementation methodologies and best practices, as well as work on project teams to analyse, design, develop and deploy business intelligence / data integration solutions to support a variety of customer needs. This position oversees a team of Data Integration Consultants at various levels, ensuring their success on projects, goals, trainings and initiatives though mentoring and coaching. Provides technical expertise in needs identification, data modelling, data movement and t...

Develop and deploy ML models using SageMaker. Automate data pipelines and training processes. Monitor and optimize model performance. Ensure model governance and reproducibility.

Develop and deploy ML models using SageMaker. Automate data pipelines and training processes. Monitor and optimize model performance. Ensure model governance and reproducibility.

Position Purpose Shared Data Ecosystem (SDE) is an ITG-FRS department hosting various applications relating to the filire unique program in charge of collecting Accounting and Risk data from local entities in an unique stream. All the Accounting and Risk data is loaded into the SRS, which is a data warehouse storing all the group information at granular level. Accounting and Risk datamarts are fed by this data warehouse, and restitutions tools are plugged to these datamarts. Our goal is to deliver an efficient access to SRS data, for both local and central users, covering multiple use cases in a coherent way and data model. Enable the Filire (1800 users from Entities to Central teams) to con...

Although the role category specified in the GPP is Remote, the requirement is for Hybrid. Job Summary: Responsible for building high-quality, innovative and fully performing software in compliance with coding standards and technical design. Design, modify, develop, write and implement software programming applications. Support and/or install software applications. Key participant in the testing process through test review and analysis, test witnessing and certification of software. Key Responsibilities: Develop software solutions by studying information needs; conferring with users; studying systems flow, data usage and work processes; investigating problem areas; following the software deve...

About the role As a Data Warehouse Architect, you will be responsible for managing and enhancing data warehouse that manages large volume of customer-life cycle data flowing in from various applications within guardrails of risk and compliance. You will be managing the day-to-day operations of data warehouse i.e. Vertica. In this role responsibility, you will manage a team of data warehouse engineers to develop data modelling, designing ETL data pipeline, issue management, upgrades, performance fine-tuning, migration, governance and security framework of the data warehouse. This role enables the Bank to maintain huge data sets in a structured manner that is amenable for data intelligence. Th...

Mode of work: Hybrid (2 days WFO) Mode of Interview: 2 Rounds (Virtual, F2F) Notice Period: Immediate-15 days We are looking for a highly skilled Senior Backend Developer with solid experience in developing and maintaining scalable backend systems using Go. You'll be part of a core engineering team building robust APIs anddistributed services. Key Responsibilities: Develop scalable and high-performance backend services. Write clean, efficient, and testable code. Optimize systems for latency, reliability, and cost. Collaborate closely with front-end engineers and product teams. Handle data modelling and database performance tuning. Required Skills: Strong in Go Solid understanding of: RESTful...

Position: Senior Engineer Golang Experience: 3-5 years Location: Bangalore, Hyderabad, Pune, Mumbai, Chennai, Ahmedabad Mode of work: Hybrid (2 days WFO) Mode of Interview: 2 Rounds (Virtual, F2F) Notice Period: Immediate-15 days We are looking for a highly skilled Senior Backend Developer with solid experience in developing and maintaining scalable backend systems using Go. You'll be part of a core engineering team building robust APIs and distributed services. Key Responsibilities: Develop scalable and high-performance backend services. Write clean, efficient, and testable code. Optimize systems for latency, reliability, and cost. Collaborate closely with front-end engineers and product te...

Project description We are seeking a highly skilled Data Modelling Expert with deep experience in the Avaloq Core Banking platform to join our technology team. The ideal candidate will be responsible for designing, maintaining, and optimizing complex data models that support our banking products, client data, and regulatory reporting needs. This role requires a blend of domain expertise in banking and wealth management, strong data architecture capabilities, and hands-on experience working with the Avaloq platform. Responsibilities Design, implement, and maintain conceptual, logical, and physical data models within the Avaloq Core Banking system. Collaborate with business analysts, product o...

Data Engineering Team As a Lead Data Engineer for India, you will be accountable for leading the technical aspects of product engineering by being hands on, working on the enhancement, maintenance and support of the product on which your team is working, within your technology area. You will be responsible for your own hands-on coding, provide the design thinking and design solutions, ensuring the quality of your teams output, representing your team in product-level technical forums and ensuring your team provides technical input to and aligns with the overall product road-map. How will you make an impact? You will work with Engineers in other technology areas to define the overall technical...

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, P...

Senior Data Engineer (Remote, Contract 6 Months) Databricks, ADF, and PySpark. 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 da...

We are looking for a Senior Developer with solid hands-on experience in Optimizely SaaS CMS and a strong front-end and back-end tech stack. If you're ready to work on impactful enterprise projects and drive next-gen digital experiences, wed love to hear from you! Role Details: -Position: Senior Developer -Experience: 6+ Years -Location: Kochi / Bangalore -Work Mode: Hybrid -Notice Period: Immediate Joiners Preferred -Client and Budget: Will discuss -Interview- [1st Round Virtual/ 2nd RoundF2F/Virtual] Key Must-Haves: Mandatory hands-on experience with Optimizely SaaS CMS Strong expertise in Next.js (SSR & SSG), React, TypeScript Proficient in Node.js and front-end performance optimization Ex...

Develop and deploy ML models using SageMaker. Automate data pipelines and training processes. Monitor and optimize model performance. Ensure model governance and reproducibility.