543 Data Modelling Jobs

Role & responsibilities We Are Looking For Data Engg Exp: 3-9 y ears Location: Whitfield Bangalore Mandatory Skills: azure,aws Databricks Expert(Delta Lake,Lake Bridge) Python with PySpark ,Data Modeling ,Data Lake house creation,Designing ETL/ELT pipelines,Azzure Cloud Platforms proficiency, Data Quality,Hive,Spark Preferred candidate profile

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. Documenting machine learning processes. Keeping abreast of developments in machine learning. AI/ML Engineer Requirements: Bachelor's degree in computer science, data science, mathematics, or a related field with at least 3+yrs of experience as an AI/ML Engineer Advanced proficiency with Python and FastAPI framework along with good exposure to libraries like scikit-learn, Pandas, NumPy etc.. Experience in working on ChatGPT, LangChain (Must), Large Language Models (Good to have) & Knowledge Graphs Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture. In-depth knowledge of mathematics, statistics, and algorithms. Superb analytical and problem-solving abilities. Great communication and collaboration skills.

Key Skills: Data Modelling, Azure Roles and Responsibilities: Participate in SCRUM teams, taking responsibility for QA deliverables and test artifacts, including test strategy, scenarios, cases, execution results, and end-of-test reports. Perform various phases of testing, including unit, system, integration, regression, and functional testing. Create and track bugs in test management tools. Ensure the quality of deliverables and manage internal and external audit processes. Execute formal/informal review cycles and testing sign-offs. Manage eCommerce test environments and integrated systems test data. Support UAT, hypercare, and business go-live testing for new markets. Multi-task and prioritize across multiple tasks effectively. Lead QA efforts and collaborate with product owners and development teams to provide effective solutions. Ensure Agile User Stories contain appropriate acceptance criteria and regression testing requirements before releasing into the backlog. Skills Required: 5+ years of Functional testing experience, including Web & native applications, SAP, API, and DB. Strong experience in Functional Testing for Web, Native Apps, SAP, API, and Database (Must-Have) Hands-on expertise in Data Modelling (Must-Have) Exposure to Azure cloud services and environment management (Nice-to-Have) Proficient in Agile methodologies and working with SCRUM teams Skilled in test management tools and bug tracking systems Ability to create comprehensive test strategies and documentation Excellent communication and collaboration skills with cross-functional teams Strong organizational and multi-tasking abilities Education: Bachelor's Degree in related field

Build data pipelines using Spark, PySpark, Python. Strong in Data Lake/Warehouse, SQL, EMR, Iceberg, Parquet. Expertise in NoSQL/Relational DBs, data modeling, AWS, APIs, CI/CD (GitLab), Docker, Kubernetes, microservices, and messaging systems.

Expertise and experience of Apache Spark, PySpark, Python based pipeline jobs Solid Data Lake/Data Warehouse principles, techniques and technologies - Star Schema, SQL (AWS EMR, Apache Iceberg, parquet) Strong database skills, NoSQL databases as well as relational databases in use often with large data volumes Strong data modelling concepts and principles experience of building data architectures Cloud preferably: AWS experience working with of APIs (designing with OpenAPI is desirable) CI/CD pipelines (Git-lab desirable) Kubernetes and Docker Experience developing microservices-based architectures, including distributed messaging patterns is a plus

6+ years of experience as Cloud Database Administrator. Exp in Postgres/Snowflake/Erwin/MySQL on AWS. Exp in Data modelling using tools like Erwin. Exp in AWS Aurora. Exp in Data Migration. Exp in Oracle, SQL, PL/SQL & shell scripting. Exp in ERDs. Required Candidate profile Exp in design data models- SRS/HLD/LLDs using tools like ERWIN. Exp in DB & production support tasks including Replication,SQL Optimization&Tuning,Monitoring & Database Security on large Database env.

Job Requirements Mandatory Skills Bachelors degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline 7+ years of relevant experience in data engineering roles Detailed knowledge of data warehouse technical architectures, data modelling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding Proficient in at least one or more programming languages: Java, Python, Ruby, Scala Experienced with AWS services such as Redshift, S3, EC2, Lambda, Athena, EMR, AWS Glue, Datapipeline. Exposure to data visualization and reporting with tools such as Amazon QuickSight, Metabase, Tableau, or similar software Experience building metrics deck and dashboards for KPIs including the underlying data models. Understand how to design, implement, and maintain a platform providing secured access to large datasets Primary Roles and Responsibilities An AWS Data Engineer is responsible for designing, building, and maintaining the data infrastructure for an organization using AWS cloud services. This includes creating data pipelines, integrating data from various sources, and implementing data security and privacy measures. The AWS Data Engineer will also be responsible for monitoring and troubleshooting data flows and optimizing data storage and processing for performance and cost efficiency. Preferred Skills Masters degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline 7+ years of work experience with ETL, Data Modelling, and Data Architecture. Experience or familiarity with newer analytics tools such as AWS Lake Formation, Sagemaker, DynamoDB, Lambda, ElasticSearch. Experience with Data streaming service e.g Kinesis Kafka Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations Proven track record partnering with business owners to understand requirements and developing analysis to solve their business problems Proven analytical and quantitative ability and a passion for enabling customers to use data and metrics to back up assumptions, develop business cases, and complete root cause analysis

As a consulting business, customer relationships are the heart of growing our business. We are ambassadors at the customer site both to create the right relationship and trust from the customers and to deliver high quality projects, services and advices. Our skills and capabilities are Consultings most important asset. Position Description We are seeking aspirational candidates who are interested in a career in Consulting to join our niche Banking Domain and Practice.The position will support Territory Heads, Delivery Managers, Portfolio and Project Managers and teams of talented, professional business and technology consultants in the delivery of business focused solutions for our clients using Oracle applications, tools and technology. Utilizing sound product skills and experience, the successful applicant will work on value consulting, solutioning and transforming and addressing complex business requirements into sound and optimal solutions to achieve successful outcomes for our customers, partners and associates and drive towards client and customer reference ability. Longer term you will grow, with the help of extensive training and experience of the team around you, into a seasoned employee and become a Subject Matter experts in Business domain and or Solution Architecture with full accountability and responsibility of the delivered solution for your own projects, programs and territory and larger region and organization. Job Responsibilities Partnering with and acting as a trusted advisor to stakeholders in both Consulting Sales and Delivery to assist in defining and delivering high quality enterprise capable solutions Working closely with stakeholders to develop practical roadmaps to move the enterprise towards the future state vision, while taking into account business, technical and delivery constraints Analyzing stakeholder requirements, current state architecture, and gaps to create a future state architecture vision for one or more parts of the enterprise with a focus on reduced complexity, cost efficiencies, reuse, convergence, reduced risk and/or improved business capabilities Participating in defining and operating the architecture governance process to ensure change initiatives align to the vision and roadmaps Working closely with Domain Architects across key initiatives and projects to apply architecture principles and standards, and develop reference architectures and design patterns Communicating the principles, standards, vision and roadmaps to stakeholders and proactively addressing any questions / concerns identified Providing thought leadership on architectural or other topics, developing a forward looking view of current and emerging technologies and their impact on the Enterprise Architecture Embedding Platform Thinking in everything Owning and enhancing workflows and processes, and delegates with clear accountabilities across the teams to meet objectives / outcomes Promoting an environment of learning and development. Understand and develop team members and others to achieve their professional growth Job Requirements Bachelor's Degree in Engineering, Computer Science or equivalent; Master's degree in Business or Technology is an advantage Formal architecture certification (TOGAF or equivalent) At least 15 years' experience in the IT industry, preferably in large, complex enterprises At least 7 years' experience in Enterprise Architecture in a large, complex, multi-location, multi-national environment Deep experience delivering mission critical, enterprise scale IT solutions in a heterogeneous technology environment Demonstrate deep domain expertise in Application Architecture in EAI, Microservices and Cloud native technologies Experience in Domain driven and Event driven architecture and in technologies such as Kafka and Spark Experience architecting, designing and developing large scale high performance retail business banking solutions utilizing a mixture of Open systems and messaging and high performance DB solutions. Experience in log analysis and log based monitoring (e.g. ELK) and metrics driven monitoring (Grafana, Prometheus) Direct experience with highly scalable enterprise applications, designing high performance, low latency solutions with high availability and near or no data loss. Familiarity with: best practice methodologies and tools for the entire solution lifecycle from ideation to requirements, design, development, testing, deployment and operations one or more formal Architecture frameworks / methodologies (TOGAF, Zachman, BIAN, etc.) architecture governance frameworks heterogeneous technology platforms such as AS400, Unix/Linux, Windows A deep understanding of all domains of Enterprise Architecture, including the business, data, application, infrastructure and security domains Possess strong understanding of business strategies and able to translate them into concrete achievable action plans Practical experience in: data modelling, object modelling, design patterns and Enterprise Architecture tool or other software modelling tools. business capabilities model Advanced Relational Database Experience (RDBMS) in Oracle Multi-tenant database is an advantage Functional Expertise preferred (but not a mandatory requirement) in at least two of the below domains: Branch Banking CRM and e-CIF Transaction Banking - Cash Management and Payments Lending Origination and Servicing Trade Finance & Supply Chain Finance e-Channels, eco-system partnerships and API (Open Banking) Proven experience leading teams resulting in the successful deployment of applications built on Cloud or on-prem enterprise environments for large Tier-1 Banks and Financial institutions Candidates having experience with migrating from legacy applications to a solution utilizing methodologies and Platforms that will ensure least down-time, reduced risk and excellent customer experience both the customer and end-users of those services will be preferred. IT Strategy consulting experience will be an added advantage Comfortable in working in an environment which is mix of several parties and teams from customer as well from Oracle where collaboration is key. Excellent verbal, written and presentation skills to stakeholders at all levels Ability to communicate complex topics in an understandable way using a level of detail and terms appropriate to the situation Capability to think conceptually and identify patterns across seemingly unrelated situations Must be a good team player and able to drive consensus amongst stakeholders with conflicting viewpoints and objectives People and team management in a transversal function Able to collaborate and drive motivation across a diverse slate within and across teams and can deal with difficult conversations effectively

The Senior Data Analytics Consultant role requires a unique blend of analytical expertise, technological proficiency, and collaborative skills. Your primary responsibility will be to develop and implement data strategies that enhance business outcomes through innovative analytics and predictive modeling. You must be well-versed in SQL, Power BI, and Alteryx, with a solid understanding of data modeling, cloud data solutions, and data quality management practices. Leadership and stakeholder management skills are crucial for translating data insights into actionable business strategies effectively. With at least 3 years of experience in data analytics, including 2 years of hands-on experience with SQL, Alteryx, and Power BI, you will lead data analytics initiatives by leveraging advanced visualization and statistical techniques. Your expertise in Power BI, particularly in Power Query, Data Modeling, and Visualization, will be essential. Additionally, you should have a strong grasp of DAX for creating complex calculations and measures, as well as experience with Row Level Security (RLS) in Power BI. Your responsibilities will include spearheading data analytics projects, designing and maintaining data workflows using Alteryx, and collaborating with cross-functional teams to understand processes, challenges, and customer needs thoroughly. You will also play a key role in defining and visualizing key performance indicators (KPIs) to measure project success and stakeholder engagement. A Bachelor's degree in Computer Science, Engineering, Data Science, or related fields is required, with a preference for a Master's degree in Data Analytics, Data Science, Statistics, or relevant certifications such as CAP, DASCA, or Microsoft Certified: Data Analyst Associate. Programming skills and knowledge of cloud technologies are advantageous for this role. If you have a track record of strategic impact in data analytics, strong problem-solving abilities, and the ability to mentor junior analysts, you are the ideal candidate for this position.,

As a Java Subject Matter Expert (SME) with 8 to 12 years of experience in software development, including at least 8 years in software engineering or related roles and 3-5 years in a senior or lead position, you will be responsible for demonstrating strong proficiency in core Java. Your role will involve hands-on experience in building scalable Java-based applications while showcasing a deep understanding of software design patterns, architectural principles, and various architectural styles such as microservices, monolithic, SOA, and cloud-native. Your expertise will be demonstrated through building and consuming web services like Rest, SOAP, and OData, as well as your experience with relational and NoSQL databases like PostgreSQL and MongoDB, including data modeling. Additionally, your knowledge of software security principles will be crucial in incorporating security into design. Proficiency in cloud platforms such as AWS, Azure, Google Cloud, and understanding of cloud architecture patterns will be essential for this role. Your responsibilities will also include working on CI/CD pipeline, docker, Kubernetes, and experience in Oracle Integration Cloud (OIC) for designing and developing integration solutions, or similar integration platforms, is highly preferred. You should also possess the ability to handle and lead discussions with clients from a technical and architecture standpoint, as well as guide, mentor, and inspire development teams to foster a positive and productive environment. Bristlecone, the leading provider of AI-powered application transformation services for the connected supply chain, is looking for individuals who can thrive on change and empower customers with speed, visibility, automation, and resiliency. Ranked among the top ten leaders in supply chain services by Gartner, Bristlecone offers transformative solutions in Digital Logistics, Cognitive Manufacturing, Autonomous Planning, Smart Procurement, and Digitalization, delivered through a comprehensive portfolio of services spanning digital strategy, design, build, and implementation across various technology platforms. As an Equal Opportunity Employer, Bristlecone values diversity and is committed to creating an inclusive workplace. In your role, you will be expected to understand and adhere to Information Security policies, guidelines, and procedures for the protection of organizational data and Information System. Participation in information security training and reporting any suspected security or policy breaches to the InfoSec team or appropriate authority will also be part of your responsibilities. Additionally, you will be required to understand and adhere to additional information security responsibilities as part of the assigned job role.,

You have a minimum of 5 years of experience in Visualization and Data modelling using Tableau and Power BI, along with strong SQL skills. Your responsibilities will include integrating fully into a project team, collaborating with project stakeholders to gather BI requirements, and delivering high-quality business objects universe and reporting. You will review existing silo databases, build integrations, offer a holistic view of data, improve data visibility and quality, and enhance reporting database structures as needed. Additionally, you will provide guidance on database structure improvements, understand how integrated data sets can be utilized in Business Intelligence, and administer Business Objects processes and servers. It is essential to maintain collaborative working relationships with internal and external project stakeholders, effectively manage your workload to meet project timescales, and identify areas for improvement in collaboration with the Product Delivery Manager. You must have expertise in SQL for querying, function creation, and view/table creation, as well as proficiency in Tableau, Power BI, TSQL, Dimensional modelling, and SAP Business Objects product suite for reporting and universe design. Knowledge of ETL processes, data warehousing strategies, and other BI products, including cloud solutions, is required. Business and data analysis skills, along with proficiency in Tableau for Visualization, are essential for this role. If you are passionate about Business Intelligence, data modelling, and visualization, and possess the necessary technical skills and experience, we encourage you to apply by sending your resume to careers@savantyssolutions.com.,

At Capgemini Invent, we believe that difference drives change. As inventive transformation consultants, we blend our strategic, creative, and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow, informed and validated by science and data, superpowered by creativity and design, all underpinned by technology created with purpose. You act as a contact person for our customers and advise them on data-driven projects. You are responsible for designing viable architectures based on Microsoft Azure, AWS, Snowflake, Google (or similar), and implementing analytics. You are responsible for architecture topics and solution scenarios in the areas of Cloud Data Analytics Platform, Data Engineering, Analytics, and Reporting. Experience in Cloud and Big Data architecture, DevOps, Infrastructure as a code, DataOps, MLOps, business development (as well as your support in the proposal process), data warehousing, data modeling, and data integration for enterprise data environments. Experience with ETL tools primarily Talend and/or any other Data Integrator tools (Open source / proprietary), extensive experience with SQL and SQL scripting (PL/SQL & SQL query tuning and optimization) for relational databases such as PostgreSQL, Oracle, Microsoft SQL Server, and MySQL etc., and on NoSQL like MongoDB and/or document-based databases. Experience in data analysis, modeling (logical and physical data models), and design specific to a data warehouse/Business Intelligence environment (normalized and multi-dimensional modeling). Excellent written, oral, and interpersonal communication skills with the ability to communicate design solutions to both technical and non-technical audiences. Ideally, experience in agile methods such as safe, scrum, etc., and experience in programming languages like Python, JavaScript, Java/Scala etc. Provides data services for enterprise information strategy solutions - works with business solutions leaders and teams to collect and translate information requirements into data to develop data-centric solutions. Design and develop modern enterprise data-centric solutions (e.g., DWH, Data Lake, Data Lakehouse) and governance solutions. We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain a healthy work-life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We are seeking an experienced Business Intelligence Developer with 7+ years of experience having expertise in Oracle Analytics Cloud (OAC), PowerBI, ETL tools, and Data Modelling to join our dynamic team. The successful candidate will be responsible for developing and maintaining scalable data models, creating insightful analytics dashboards, and managing ETL workflows to support data-driven decision-making across the organization. They will work closely with customers, data architects, software developers, and business analysts for suitable product development. The candidate will be a highly skilled individual and will be accountable for their career development and growth in EY. Responsibilities: - Collaborate with stakeholders to understand data requirements and translate business needs into data models. - Design and implement effective data models to support business intelligence activities. - Develop and maintain ETL processes to ensure data accuracy and availability. - Create interactive dashboards and reports using Oracle Analytics Cloud (OAC) and PowerBI. - Work with stakeholders to gather requirements and translate business needs into technical specifications. - Optimize data retrieval and develop dashboard visualizations for performance efficiency. - Ensure data integrity and compliance with data governance and security policies. - Collaborate with IT and data teams to integrate BI solutions into the existing data infrastructure. - Conduct data analysis to identify trends, patterns, and insights that can inform business strategies. - Provide training and support to end-users on BI tools and dashboards. - Document all processes, models, and activities to maintain transparency and facilitate knowledge sharing. - Stay up to date with the latest BI technologies and best practices to drive continuous improvement. Qualifications: - Bachelor's degree in computer science, Information Systems, Business Analytics, or a related field. - Proven experience with Oracle Analytics Cloud (OAC), PowerBI, and other BI tools. - Strong experience in ETL (SSIS, Informatica, Dell Boomi, etc.) processes and data warehousing solutions. - Proficiency in data modelling techniques and best practices. - Solid understanding of SQL and experience with relational databases. - Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud). - Excellent analytical, problem-solving, and project management skills. - Ability to communicate complex data concepts to non-technical stakeholders. - Detail-oriented with a strong focus on accuracy and quality. - Well-developed business acumen, analytical and strong problem-solving attitude with the ability to visualize scenarios, possible outcomes & operating constraints. - Strong consulting skills with proven experience in client and stakeholder management and collaboration abilities. - Good communication skills both written and oral, ability to make impactful presentations & expertise in using excel & PPTs. - Good to have knowledge of data security and controls to address customer data privacy needs in line with regional regulations such as GDPR, CCPA, etc.,

You are looking for a Principal Data Architect (Contract) role in Jodhpur with AnandRathi IT Pvt Ltd Services. AnandRathi is a prominent financial services firm in India, offering a diverse range of services in wealth management, capital markets, brokerage, investment banking, and financial planning. As part of their digital transformation journey, they are focused on developing a state-of-the-art data ecosystem to enhance insights, scalability, and innovation across all sectors. As a Principal Data Architect, you will play a crucial role in shaping and advancing the enterprise data architecture. Your responsibilities will include defining the data architecture strategy aligned with business objectives, designing scalable and secure data pipelines and platforms, overseeing data integration from various sources, maintaining data model integrity, implementing data governance frameworks, and ensuring compliance with regulatory standards. You will lead data engineering teams in building robust data pipelines using tools like Apache Spark, Airflow, and Kafka. Your expertise in data modelling, distributed systems, cloud-native data platforms, data governance, and AI/ML pipelines will be essential for this role. Collaboration with stakeholders from multiple departments, presentation of architectural decisions to executive stakeholders, and participation in the company's digital and AI-first journey are key aspects of this position. To be successful in this role, you should have over 12 years of experience in data architecture, engineering, or analytics roles, a deep understanding of data modelling and modern data stack tools, familiarity with cloud-native data platforms, strong knowledge of data governance and security frameworks, and hands-on experience with AI/ML pipelines. Additionally, having a background in the financial services domain, excellent communication skills, and relevant certifications will be advantageous. If you are looking to be part of a dynamic team driving AnandRathi's digital and AI-first future, collaborating with industry experts, and working on enterprise-scale systems in the BFSI space, this role could be the perfect fit for you. Join AnandRathi and contribute to building a cutting-edge data ecosystem that powers innovation and growth across the organization.,

At Capgemini Invent, we believe that difference drives change. As inventive transformation consultants, we blend our strategic, creative, and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our clients" challenges of today and tomorrow, informed and validated by science and data, superpowered by creativity and design, all underpinned by technology created with purpose. You will act as a contact person for our customers and advise them on data-driven projects. You will be responsible for designing viable architectures based on Microsoft Azure, AWS, Snowflake, Google (or similar), and implementing analytics. You will be responsible for architecture topics and solution scenarios in the areas of Cloud Data Analytics Platform, Data Engineering, Analytics, and Reporting. The ideal candidate will have experience in Cloud and Big Data architecture, DevOps, Infrastructure as Code, DataOps, MLOps, business development, data warehousing, data modeling, and data integration for enterprise data environments. Experience with ETL tools primarily Talend and/or any other Data Integrator tools, extensive experience with SQL and SQL scripting (PL/SQL & SQL query tuning and optimization) for relational databases such as PostgreSQL, Oracle, Microsoft SQL Server, MySQL, etc., and on NoSQL like MongoDB and/or document-based databases. Experience in data analysis, modeling (logical and physical data models), and design specific to a data warehouse/Business Intelligence environment. Your role will require excellent written, oral, and interpersonal communication skills with the ability to communicate design solutions to both technical and non-technical audiences. Ideally, you will have experience in agile methods such as SAFe, Scrum, etc., and experience in programming languages like Python, JavaScript, Java/Scala. You will provide data services for enterprise information strategy solutions, work with business solutions leaders and teams to collect and translate information requirements into data to develop data-centric solutions. Design and develop modern enterprise data-centric solutions (e.g., DWH, Data Lake, Data Lakehouse), and governance solutions. We recognize the significance of flexible work arrangements to provide support. Be it remote work or flexible work hours, you will get an environment to maintain a healthy work-life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world, creating tangible impact for enterprises and society. With a strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.,

As a GCP Data Engineer-Technical Lead at Birlasoft Office in Bengaluru, India, you will be responsible for designing, building, and maintaining scalable data pipelines and platforms on Google Cloud Platform (GCP) to support business intelligence, analytics, and machine learning initiatives. With a primary focus on Python and GCP technologies such as BigQuery, Dataproc, and Data Flow, you will develop ETL and ELT pipelines while ensuring optimal data manipulation and performance tuning. Your role will involve leveraging data manipulation libraries like Pandas, NumPy, and PySpark, along with SQL expertise for efficient data processing in BigQuery. Additionally, your experience with tools such as Dataflow, Cloud Run, GKE, and Cloud Functions will be crucial in this position. A strong foundation in data modeling, schema design, data governance, and containerization (Docker) for data workloads will further enhance your contributions to our data team. With 5-8 years of experience in Data Engineering and Software Development, including a minimum of 3-4 years working directly with Google Cloud Platform, you will play a key role in driving our data initiatives forward.,

You should have 5-8 years of experience in SAP Project Systems (PS) module with expertise in SAP S4 HANA. Your responsibilities will include: - Demonstrated experience in end-to-end implementation of Customer based projects and Capital projects. - Proficiency in customization and configuration of SAP PS module, with strong knowledge in WBS, Networks, Cost Planning, Budgeting, Project Procurement, Timesheets, Project settlement, etc. - Hands-on experience in working on various PS standard reports & Standard tables, preferably in S4HANA. - Experience in at least one roll-out project, preferably in S4HANA, with a focus on Project Profile, Network Profile, Network Order Type, and Scheduling. - Expertise in integration of PS with variant configuration and DMS integration. - Proficiency in Results Analysis, Progress Analysis, and Version management. - Experience in CATS (Cross-Application Time Sheet), Assembly processing, Sales Pricing & Resource Related billing processes, and RICEF objects. - Knowledge of Project system reporting, Functional specifications preparation, LSMW & BDC, and interfaces like MS Project & Primavera. - Ability to lead blueprint workshops, SAP Configuration, Custom Development, Cutover Activities, Data Migration, Testing, User Training, and hyper-care support. - Thorough understanding of Variant Configuration, Data modelling, and its mapping into SAP, including analyzing and initial assessment of the VC data and VC data modelling. This position is based in Indore, India. To apply, please send your resume to info@surteltechnologies.com.,

You have a great opportunity to join as a Lead Data Analyst at Sapience Analytics. With at least 6+ years of experience in the Sapience analytics platform, you will be responsible for developing and maintaining workforce analytics solutions. Your role will involve collecting, cleansing, analyzing, and synthesizing workforce data to generate actionable insights. To excel in this position, you should have experience with SQL, Data Modelling, and Data profiling. Immediate joiners are preferred for this role located in Trivandrum, Noida, or Hyderabad. If you are ready for this exciting challenge, please apply by sending your resume to rahul.rai@celsiortech.com.,

As a Sr. Power BI Developer at Programmers.IO, you will be responsible for leveraging your expertise in Power BI, DAX, SQL, and Data Modeling Technology to develop impactful solutions. With 5 to 10 years of experience, you will collaborate with stakeholders to understand requirements and translate them into effective data visualization solutions. Your strong proficiency in Power BI, DAX, SQL, and query optimization will be crucial in ensuring the successful implementation of projects. You will be expected to have in-depth knowledge of data modeling and relational databases, along with the ability to implement Row-level security (RLS) and work with Power BI Service. Your role will involve documenting and maintaining Power BI applications and processes, staying updated with the latest trends, and best practices in Power BI and data visualization. To excel in this role, you must possess excellent problem-solving, communication, and interpersonal skills. Prior experience in Data Modeling, SQL, DAX functions, and Data Modelling will be advantageous. It is essential to have the Power BI Desktop App installed on your laptop/system in advance of the interview. If you are passionate about Power BI, eager to work from locations like Chennai, Surat, Ahmedabad, Noida, Gurgaon, Pune, Hyderabad, Jaipur, Indore, or Kerala, and meet the experience criteria, we encourage you to apply by submitting your resume to ayushi.khandelwal@programmers.io. Join us at Programmers.IO to make a significant impact with your Power BI skills and contribute to our innovative projects.,

As a .NET Technical Lead at KANINI, you will oversee the technical team and all projects. Your responsibilities include analyzing briefs, writing progress reports, identifying risks, and developing work schedules. It is essential to lead by example, work hard with the team, and inspire each member to achieve personal and professional goals. Your role involves expanding industry knowledge, quickly identifying problems, probing for solutions, and building lasting relationships across teams. In this position, you will lead the team in developing business solutions through configuration and software development. You will be accountable for designing, coding, unit testing, building, deploying, and supporting application software. Collaboration with analysts and architects to define the technical direction based on business requirements is crucial. You will assist in designing, analyzing, developing, implementing, and deploying new data-driven, web-based applications. Supporting existing systems, delivering end-to-end web solutions for projects, conducting code reviews, unit testing, and preparing technical design documents are part of your responsibilities. Additionally, you will support system testing, deploy integration artifacts, and supervise junior team members. To be successful in this role, you should have 8+ years of experience in .Net programming, 5+ years working with relational databases, web design and development using Microsoft Technologies, experience with various technologies like C#, .Net Core, ASP.Net, ADO.NET, MVC, jQuery, Angular/React, among others. Proficiency in data modeling, database design, querying, performance tuning, and TSQL queries is required. Moreover, you should be familiar with Agile methodologies, SCRUM processes, Source Control Systems, CI/CD tools, and have the ability to work independently and virtually. Preferred qualifications include Microsoft Azure Developer or Azure Architect certification, knowledge of Azure Cloud Native Development, Microservices, Docker, Kubernetes, QlikView, HTML5, CSS3, Bootstrap, Telerik Kendo UI, enterprise application architecture, design patterns, experience in Financial Services or consulting environment, effective communication skills, strong analytical abilities, and willingness to learn and apply new technologies. The ideal candidate holds a B.E. / B. Tech / M.C.A. / MSc degree, preferably in Computer Science or IT.,

As a member of the Data Insights team in the Zellis Managed Services function, you will play a crucial role in collaborating with Reporting and Insights Analysts and internal stakeholders to enhance the value derived from our data resources. Your primary responsibilities will involve data extraction, transformation, modeling, and the creation and maintenance of data products along with relevant documentation. Your key responsibilities in this role will include generating actionable insights by analyzing a diverse range of Operational and Customer data sets, effectively aligning outcomes with broader business objectives. You will be required to build and nurture strong relationships with various stakeholders, both internal and external, by actively participating in meetings, comprehending business objectives, overseeing Insights delivery, and ensuring follow-up actions are carried out. Furthermore, you will be responsible for extracting, organizing, and analyzing data from existing platforms, identifying relationships among multiple data sets, and exploring additional datasets to facilitate the development of new insights. You will take charge of cleansing and documenting existing datasets to support the enhancement and maintenance of reporting and insights. Proficiency in a wide array of skills, particularly core data analysis and processing skills, will be essential for this role. Your expertise in utilizing tools like SQL, advanced Excel, APIs, Power BI/DAX, Python, and database management will be instrumental in leveraging data to drive informed decision-making. In terms of skills and experience, you are expected to follow a methodical approach to tackle complex problems, define problem statements, and independently make decisions. Proactively identifying potential issues and opportunities, offering solutions for medium risks, and applying appropriate methods and tools to solve complex problems are key aspects of this role. Additionally, you will be involved in driving improvement opportunities across teams, taking the lead on multiple analytics projects, and effectively communicating key findings to technical and non-technical stakeholders. Your role will also involve identifying data sources to meet stakeholder requirements, modeling data to address business challenges using tools such as SQL, Python, or R, and leveraging analytical techniques like regression analysis and sampling. A high level of attention to detail, strong commercial acumen, statistical understanding, and effective communication skills will be crucial for success in this role. In conclusion, this role offers a stimulating work environment where you will have the opportunity to contribute to impactful projects, collaborate with diverse stakeholders, and drive business value through data-driven insights.,

At EY, you will have the opportunity to shape a career that reflects your unique qualities, supported by a global network, inclusive environment, and cutting-edge technology to empower you to reach your full potential. Your individual perspective and voice are essential in our journey to enhance EY's performance. Join us in creating an exceptional experience for yourself while contributing to a better working world for all. As a Snowflake Senior in the EY-Data & Analytics Advisory team, you will collaborate with clients to develop and execute data analysis strategies, data collection systems, and other solutions to enhance statistical efficiency and quality. Leveraging the latest tools available, you will assist clients in acquiring and managing data from various sources, identifying trends, and interpreting complex data sets to drive smarter business decisions for improved products and services. Your role will involve working as a Staff team member within the EY-DnA Team, contributing to various technical aspects of Enterprise Intelligence implementation projects. You will provide technical best practices at product and design levels, communicate effectively with onsite coordinators, complete assigned tasks promptly, and support business development activities through client relationships and pursuits. Specializing in a specific sector/domain will be advantageous, and contributing to the development of intellectual capital within your area of expertise is encouraged. To excel in this role, you should possess strong communication, presentation, and team-building skills, along with a solid analytical foundation. Expertise in data warehousing/data modeling best practices, ability to translate client requirements into visual stories, and a willingness to learn new skills are key attributes for success. Qualifications include a BE/BTech/MCA/MBA with significant industry experience, 3-7 years of experience in Enterprise Intelligence, strong SQL skills, and experience in ETL/Data Integration using tools like Informatica or similar platforms. Proficiency in Snowflake as a Data Integration Tool, certification, and experience with AWS cloud technologies are desirable. Ideal candidates will also demonstrate project management skills, familiarity with Agile project delivery, and exposure to cloud technologies such as Azure and AWS. EY values individuals with commercial acumen, technical expertise, and a passion for continuous learning in a dynamic environment. You will have the opportunity to collaborate with a diverse team of over 550 professionals globally, working with leading businesses across various industries. EY is committed to building a better working world by delivering long-term value for clients, fostering trust in capital markets, and creating positive impacts on society. Through data and technology, EY teams worldwide offer assurance, growth strategies, and operational support. By asking critical questions and seeking innovative solutions, EY teams address complex challenges in today's evolving landscape.,

Pando is pioneering the future of autonomous logistics with innovative AI capabilities. Trusted by Fortune 500 enterprises with global customers across North America, Europe, and Asia Pacific regions, Pando is leading the global disruption of supply chain software, with an AI-powered, no-code, & unified platform empowering Autonomous Supply Chain. The role involves hiring an integration consultant to Integrate Pando products with client ERP systems faster, cheaper, and more effectively. The responsibilities include Integration Strategy Development, Technical Architecture Design, Implementation Oversight, Stakeholder Collaboration, and Maintenance and Support. Key Responsibilities: - Analyze business requirements and identify integration needs between the TMS and other systems such as ERP, WMS, CRM, Carrier, ISVs, etc. - Develop a comprehensive integration guidebook for each implementation including data mapping, interface design, and communication protocols. - Design the overall integration architecture, including data flow diagrams, message formats, and system interfaces. - Lead the integration development process, monitor implementation progress, conduct testing, and address technical challenges. - Collaborate with business stakeholders, communicate integration plans and updates to relevant teams, and manage ongoing integration updates. - Monitor integration performance, troubleshoot data exchange and system connectivity issues, and align enhancements with evolving business needs. Requirements: - 3-6 years of experience as an integration specialist, integrating with ERP systems using various technologies & middleware. - Understanding of TMS functionalities and data structures. - Proficiency in integration technologies like APIs, web services, EDI, middleware platforms. - Knowledge of data modeling and mapping techniques. - Familiarity with programming languages relevant to integration development, such as JavaScript. - Optionally, understanding of supply chain logistics and transportation processes based on the candidate. - Ability to analyze business requirements and translate them into technical solutions. - Strong communication and collaboration skills to work effectively with cross-functional teams.,

You will be responsible for the development and sustainment of the SQL Server Warehouse, ensuring its operational readiness (security, health, and performance), executing data loads, and performing data modeling in support of multiple development teams. The data warehouse supports an enterprise application suite of program management tools. You must be capable of working independently and collaboratively. Your main responsibilities will include managing SQL Server databases through multiple product lifecycle environments, from development to mission-critical production systems. You will troubleshoot issues related to memory-optimized tables in MS SQL Server 2019, configure and maintain database servers and processes, including monitoring of system health and performance to ensure high levels of performance, availability, and security. You will also apply data modeling techniques to ensure development and implementation support efforts meet integration and performance expectations. Additionally, you will independently analyze, solve, and correct issues in real-time, providing end-to-end problem resolution, and assist developers with complex query tuning and schema refinement. The ideal candidate for this role should have a minimum of 5 years of relevant experience in data modeling, database & data warehouse management, and performance tuning on Microsoft SQL Server Databases. You should also have at least 3 years of experience with programming and database scripting, as well as experience with clustered configurations, redundancy, backup, and recovery. Good knowledge of SSIS development, T-SQL, Views, Stored Procedures, Functions, and Triggers is required. Experience in AWS and Azure Cloud will be an added advantage. Join us in Bengaluru, Karnataka, India, as a SQL Server Data Engineer in the IT Services industry with over 5 years of work experience. Enjoy benefits as per market standards.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. We're counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. We are looking for Senior level candidates with a good working experience in Data warehousing, Data Integration using ETL tool Oracle Data Integrator (ODI), Oracle SQL, and PL/SQL. As a problem-solver with a keen ability to diagnose a client's unique needs, you should be able to see the gap between where clients currently are and where they need to be. Your responsibilities include having 3-8 years of ETL Lead/developer experience and a minimum of 2-3 years experience in Oracle Data Integrator (ODI). You should have experience in developing ETL processes, data modeling, ETL design, setting up topology, building objects, monitoring operator, packaging components, database operations, error handling, automation, performance tuning, SQL/PLSQL development, data migration, SQL tuning, and optimization, among others. The ideal candidate should possess a BTech/MTech/MCA/MBA degree and have expertise in ODI tools, Oracle PL/SQL, data quality, reconciliation framework, integrating ODI with multiple sources/targets, and interacting with customers to understand business requirements. You must have strong communication skills, be able to work with minimal guidance in a time-critical environment, and have experience in the Financial Services industry. EY offers support, coaching, and feedback, along with opportunities for skill development and career progression. You will have the freedom and flexibility to handle your role in a way that suits you, and you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Join EY and be part of a team dedicated to building a better working world, creating long-term value for clients, people, and society, and building trust in the capital markets. Our diverse teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. At EY, we ask better questions to find new answers for the complex issues facing our world today.,