73 Data Engineers Jobs

As a Snowflake & Matillion Data Architect, your role involves designing and implementing end-to-end data architecture using Snowflake and Matillion for ingestion, transformation, and storage. You will define and maintain best practices in data modeling, lead the adoption of modern data stack tools, collaborate with various teams to build reliable data pipelines, and ensure compliance with governance and security frameworks such as GDPR, HIPAA, and SOC 2. Additionally, you will optimize Snowflake performance, develop integration strategies across various sources, promote data quality standards, and guide Matillion usage for orchestration and performance optimization. Key Responsibilities: - D...

As an AI Business Analyst (Smart Practices SME) at Coforge, your role will involve leveraging your 10+ years of experience in the insurance domain to support clients in translating business requirements into software specifications using GitHub Copilot (GHCP) and other AI tools. Your deep expertise in reinsurance and Lloyds market operations will be instrumental in collaborating with underwriters to deliver tailored solutions. Your strong communication skills will enable you to work closely with various teams and ensure the quality and governance of data. Key Responsibilities: - Translate business requirements into actionable software specifications using GitHub Copilot (GHCP) and other AI t...

You are looking to join NTT DATA as an AI & LLM Engineer - Digital Engineering Sr. Engineer in Hyderabad, Telangana, India. As a Software Engineer specializing in LLM & Agentic AI Systems, your role will involve designing and constructing intelligent agents using LLMs for autonomous task completion through planning, reasoning, and tool utilization. You will also be responsible for developing backend services and APIs to support AI agent workflows and integrations. Your tasks will include implementing planning frameworks such as ReAct, AutoGPT, BabyAGI, LangGraph, and creating decision-making loops using LLMs. Additionally, you will build, test, and optimize LLM-based applications using tools...

Role Overview: As a Cloud Architect with over 18 years of experience, you will be responsible for leading and managing a portfolio of Data & AI projects and programs across multiple accounts. Your primary focus will be on developing and implementing data strategies that align with business objectives, overseeing the design, development, and deployment of advanced data analytics solutions, and providing strategic guidance on data and analytics best practices. Key Responsibilities: - Experience with any cloud platforms such as AWS, Azure, Google Cloud, and Big Data technologies like Hadoop and Spark. - Implementation experience in various Data Management projects including Data platform Modern...

Role Overview: You will be responsible for building the machine learning production System (MLOps) and deploying state-of-the-art AI solutions for Fractal clients. This is an exciting opportunity for an experienced server-side developer to work in a challenging and innovative environment. Key Responsibilities: - Collaborate with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models - Automate and streamline Model development and Model operations - Build and maintain tools for deployment, monitoring, and operations - Enable Model tracking, model experimentation, and Model automation - Develop scalable ML pipelines - Develop MLOps components using ...

As a Machine Learning Operations (MLOps) Engineer at Fractal Analytics, you will play a crucial role in building the machine learning production system to enable Fortune 500 companies to transition into AI-driven organizations. Your responsibilities will include: - Collaborating with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models - Automating and streamlining model development and model operations - Building and maintaining tools for deployment, monitoring, and operations - Troubleshooting and resolving issues in development, testing, and production environments - Enabling model tracking, experimentation, and automation - Developing scalab...

As a Hadoop Engineer at our company, your role involves managing Hadoop clusters and performing core administrative tasks to ensure the smooth functioning of the Big Data ecosystem. Your practical experience in Hadoop technologies will be essential for the following key responsibilities: - Install, configure, and maintain Hadoop clusters along with ecosystem components like HDFS, YARN, Hive, Spark, etc. - Monitor clusters, troubleshoot issues, and optimize performance to guarantee reliability and high availability. - Conduct performance tuning, capacity planning, and load balancing across Hadoop nodes. - Manage data backup, recovery procedures, and implement necessary security configurations...

In this role at Medtronic as a Senior AI Platform Engineer, you will be part of the Global Diabetes Capability Center in Pune, dedicated to transforming diabetes management through innovative solutions and technologies. As the Diabetes division at Medtronic is preparing for separation to drive future growth and innovation, you will have the opportunity to unleash your potential and contribute to meaningful innovation in patient care. **Role Overview:** As a Senior AI Platform Engineer, your primary responsibility will be designing and creating AI Platforms. You will be developing and maintaining robust, scalable data pipelines and infrastructure automation workflows using GitHub, AWS, and Da...

You will be responsible for building the machine learning production System (or MLOps) and deploying state-of-the-art AI solutions for Fractal clients. As an MLOps Engineer, you will collaborate with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. Your key responsibilities will include: - Enabling Model tracking, model experimentation, Model automation - Developing scalable ML pipelines - Developing MLOps components in the Machine learning development life cycle using Model Repository (e.g., MLFlow, Kubeflow Model Registry) - Working across all phases of the Model development life cycle to build MLOPS components - Building the knowledge ba...

Role Overview: As a Senior Associate within Actuarial Services at PwC, you will have the opportunity to provide general insurance advice and consulting services to clients, including insurers, banks, regulators, and third-party administrators. Your role will involve offering advice on various aspects such as solvency, economic capital, risk management, mergers and acquisitions, company restructuring, financial modeling, underwriting, and compliance with new legislation. Your expertise will be crucial in analyzing the impact of new regulations on insurance companies" balance sheets and ensuring businesses have adequate reserves. Key Responsibilities: - Use feedback and reflection to develop s...

As a leader for Merke's Data & GenAI practice focused on front-end functions of sales, marketing, and growth, your role will involve defining the strategy, hiring and leading a multi-disciplinary team, building accelerators/IP, shaping solutions and POCs, driving GTM with partners, and ensuring production-grade delivery for enterprise clients. **Key Responsibilities:** - Define the practice vision, service catalog, and roadmap for LLM apps/copilots/agents, RAG over marketing & sales knowledge, decisioning/propensity, recommendations, experimentation & uplift modeling, identity & consent-aware activation. - Lead discovery and solution design with commercial guardrails (CAC/LTV, conversion, AO...

Role Overview: Join EY, a globally connected powerhouse of diverse teams, to shape your future with confidence and build a better working world. As a Data Architect within the Data Analytics and AI team, you will play a pivotal role in enabling clients to derive significant value from their information assets by embedding innovative data analytics solutions. Your passion for leveraging data to solve complex problems and drive business outcomes will drive growth by developing client relationships and delivering exceptional customer experiences. Key Responsibilities: - Lead and mentor project teams across Microsoft Fabric, including data engineers, data architects, and Power BI developers, to ...

Key Responsibilities: Design and develop conceptual, logical, and physical data models for enterprise databases and data warehouses. Work closely with business analysts, data engineers, and solution architects to understand data requirements and translate them into efficient models. Ensure data consistency, integrity, and quality across systems and platforms. Define and maintain data modeling standards, guidelines, and best practices. Perform data profiling and analysis to understand data relationships, structures, and quality. Collaborate with ETL and BI teams to ensure accurate data flow and mapping between systems. Optimize data structures for performance, scalability, and maintainability...

Role Overview: As an AI & LLM Engineer - Digital Engineering Sr. Engineer at NTT DATA in Hyderabad, Telangana, India, your primary responsibility will be to design and build intelligent agents using LLMs for autonomously completing tasks. You will also be involved in developing backend services and APIs to support AI agent workflows, implementing planning frameworks, and collaborating with ML/AI researchers, data engineers, and product teams to deliver LLM-powered experiences. Key Responsibilities: - Design and build intelligent agents using LLMs that can autonomously complete tasks via planning, reasoning, and tool use. - Develop backend services and APIs to support AI agent workflows and i...

Role Overview: As an AI Data Scientist - Digital Engineering Sr. Engineer at NTT DATA, you will be responsible for designing and developing AI/ML models with a focus on Generative AI & LLMs such as GPT, LLaMA, Mistral, Falcon, and Claude. You will also apply prompt engineering, fine-tuning, and transfer learning techniques to customize models for enterprise use cases. Additionally, you will work with vector databases and retrieval-augmented generation (RAG) pipelines for contextual response generation. Collaboration with data engineers, AI Engineers, and MLOps teams to deploy models in production environments will also be a key aspect of your role. Key Responsibilities: - Design and develop ...

Opentext - The Information Company OpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation. AI-First. Future-Driven. Human-Centered. At OpenText, AI is at the heart of everything we dopowering innovation, transforming work, and empowering digital knowledge workers. We're hiring talent that AI can't replace to help us shape the future of information management. Join us. YOUR IMPACT We...

You will be responsible for the following key responsibilities: - Minimum 3 years of experience in US IT recruitment, with a focus on implementation clients. - Strong understanding of IT roles, technologies, and recruitment processes. - Proven expertise in sourcing and hiring for positions like SAP consultants, Cloud Architects, Full Stack Developers, Data Engineers, etc. - Familiarity with ATS (Applicant Tracking Systems) and recruitment tools. - Strong communication, negotiation, and relationship-building skills. - Ability to work independently and meet deadlines in a remote setting. - Willingness to work in US time zones. Please note that the company is Scalable Systems Pvt. Ltd. located ...

Role Overview: As a Data Scientist, you will be responsible for working alongside data engineers to collate and clean data. You will collaborate with data engineers to ensure data sufficiency and quality, and undertake exploratory modeling to assess the potential for data modeling with available datasets. Additionally, you will utilize publicly available data platforms and develop new models for testing and deployment. Key Responsibilities: - Collaborate with data engineers to collate and clean data - Ensure data sufficiency and quality through iterative processes - Conduct exploratory modeling to assess data modeling possibilities - Utilize publicly available data platforms and develop new ...

Role Overview: At EY, you will play a crucial role as a Data Architect within the Data Analytics and AI team. Your primary responsibility will be to enable clients to extract significant value from their information assets by implementing innovative data analytics solutions. You will have the opportunity to collaborate with diverse teams, drive growth through client relationships, and contribute to delivering exceptional customer experiences on high-profile engagements. Key Responsibilities: - Lead and mentor diverse project teams working across Microsoft Fabric, including data engineers, data architects, and Power BI developers, to deliver end-to-end modern data platform solutions. - Own th...

Role Overview: You will be joining the Data Science and AI/ML team that collaborates across the organization to develop and deliver AI and ML powered software solutions aimed at improving patient outcomes, satisfying partners and customers, and enhancing business operations in an AI First manner. Your role as a Sr. Mgr. for Machine Learning Engineering will involve leading the development of ML architecture and operations, managing the AI operations team, ensuring production-grade AI/ML systems, and fostering best coding practices within the team. Key Responsibilities: - Drive a culture of learning within your team and challenge the status quo - Mentor and lead a team of engineers to help th...

As a candidate with 5+ years of IT experience and a good understanding of analytics tools, you should be able to lead teams effectively. You should have prior experience in production deployment and production support teams, along with expertise in Big Data tools such as Hadoop, Spark, Apache Beam, and Kafka. Your proficiency in object-oriented/scripting languages like Python, Java, C++, and Scala will be essential for this role. Additionally, experience with DW tools like BQ, Redshift, Synapse, or Snowflake, as well as ETL and Data Warehousing, is required. Familiarity with relational and non-relational databases (e.g., MySQL, MS SQL Server, Postgres, MongoDB, Cassandra) and cloud platforms...

As a Data Analytics Manager within the Spares and Warranty team at Microsoft's Cloud Supply Chain organization, your primary responsibility will be to optimize customer experience and business operations through data-driven decision making and self-serve analytics. You will lead a team of high-impact data engineers, data analysts, business analysts, and strategic customers to solve complex problems and communicate innovative solutions to stakeholders. Collaborating cross-functionally with engineering teams, product teams, and program management, you will deploy business solutions effectively. **Key Responsibilities:** - Lead the analytics function for spares supply chain, driving insights th...

We are looking for a passionate and detail-oriented IT Recruiter with hands-on experience in sourcing and hiring developers, testers, and technology professionals across diverse stacks. The ideal candidate should have experience hiring for banking or financial technology clients, managing the end-to-end recruitment lifecycle, and working closely with delivery managers and stakeholders to meet critical hiring targets. Key Responsibilities: Manage end-to-end recruitment for IT positions (Developers, Testers, Architects, Project Managers, etc.). Source candidates through multiple channels including LinkedIn, Naukri, GitHub, Stack Overflow, and internal databases. Screen technical profiles and s...

Role Overview: As a Data Orchestration Platform Product Owner at Lloyds Register, your main responsibility will be to oversee the ongoing development and management of the data orchestration platform, focusing primarily on Azure technologies, particularly Azure Fabric as part of LRs technology roadmap. Reporting directly to the Director of Data Systems, you will collaborate with various stakeholders such as business stakeholders, project managers, architects, and offshore teams to ensure the successful delivery of data solutions. Your expertise in platform engineering, ITIL/SIAM service management, and Agile Scrum methodologies will be crucial for this role. Key Responsibilities: - Collabora...

**Role Overview:** As a Data Orchestration Platform Product Owner at Lloyds Register, you will oversee the development and management of the data orchestration platform, focusing on Azure technologies, particularly Azure Fabric. Reporting to the Director of Data Systems, your role involves collaborating with various stakeholders to ensure successful delivery of data solutions. Your expertise in platform engineering, ITIL/SIAM service management, and Agile Scrum methodologies will be key in this role. **Key Responsibilities:** - Collaborate with LRs Infrastructure leadership to develop and manage the data orchestration platform using Azure technologies, specifically Azure Fabric. - Define and...