2471 Unity Jobs

Job Role : Data Engineer Full time / Contract Experience : 3 to 5Yrs Mode of Work : WFO Only Location : Chennai Job description: Key Skills: SQL, ETL Tools, ADF, ADB, Reporting Tools Key Requirements: The day-to-day development activities will need knowledge of the below concepts.  Expert-level knowledge in RDBMS (SQL Server) with clear understanding of SQL query writing, object creation and management and performance and optimisation of DB/DWH operations.  Good understanding of Transactional and Dimensional Data Modelling, Star Schema, Facts/Dimensions, Relationships  Good understanding of ETL concepts and exposure to tools such as Azure Data Factory, Azure Databricks, Airflow.  In-depth expertise in Azure Data Factory and Databricks, including building scalable data pipelines, orchestrating complex workflows, implementing dynamic and parameterized pipelines, and optimizing Spark-based data transformations for large-scale integrations.  Hands-on experience with Databricks Unity Catalog for centralized data governance, fine-grained access control, auditing, and managing data assets securely across multiple workspaces.  Should have worked on at least 1 development lifecycle of one of the below:  End-to-end ETL project (Involving above mentioned ETL tools)  Ability to write and review test cases, test code and validate code.  Good understanding of SDLC practices like source control, version management, usage of Azure Devops and CI/CD practices. Project context:  Should have the skill to fully understand the context and use-case of a project and have a personal vision for it – Play the role of interfacing with customer directly on a daily basis.  Should be able to converse with functional users and convert requirements into tangible processes/models and documentation in available templates.  Should be able to provide consultative options to customer on best way to execute projects  Should have a good understanding of project dynamics – scoping, setting estimates, setting timelines, working around timelines in case of exceptions, etc. Preferred skills:  Knowledge of Python is a bonus  Knowledge of SSIS is a bonus  Knowledge of Azure Devops, Source Control/Repos is good to have

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers and our customers’ customers to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What You'll Do As a Senior Software Engineer will become a member of a key project in Teradata's High Availability offering. This organization is responsible for working with the Teradata Dual Active leadership in designing, coding, testing, and maintaining database virtualization products for the Teradata Unity/BCM program. The successful candidate will work as a contributing member of the Teradata's Unity/BCM team. The Senior Developer role includes Requirement analysis, design, develop and test and maintenance of new and existing features and all related technologies and required environments to ensure a successful product development lifecycle and delivery. This candidate, as time permits and as appropriate may also assist with product support. The engineer must be well versed in working in and contributing to a fully agile automated development and testing process. This is an individual contributor position reporting to an Engineering Manager. Who You'll work with Works with project team members and architects and reports to Engineering Manager What Makes You a Qualified Candidate Bachelor’s degree in computer science, computer engineering or similar technical discipline with 5 to 8 years of working experience as Software Developer Experience with large-scale, enterprise grade software development in C/C++. Strong data structure, multi-threading and algorithms fundamentals Very good with any cloud development experience Knowledge of SQL and and understanding of relational database Strong background in database internals and/or analytics through academic or working exposure Knowledge of High Availability concepts and techniques Multi cloud platforms exposure What You'll Bring Creating strategies for enhancing the performance of existing cloud technology Maintaining applications and infrastructure for cloud-based platforms Analysing current systems to find flaws that can jeopardise cloud security Understanding of cloud enablement features that are required to be developed for Teradata software Design, develop, code, test & debug system software Good analytical and logical skills. Strong troubleshooting & debugging skills on Linux Sound software engineering principles Exposure to storage, filesystems will be advantage Working knowledge or exposure cloud technologies would be an added advantage Self-motivated and self-organizing individual, with a high capacity for rapid learning and having meticulous attention to detail Strong written and oral communication skills Effective team player and experienced in software development life cycle. Use of Agile methodologies and tools will be an advantage Technical support to customers or customer facing personnel Why We Think You'll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are. #LI-NT1

Project Role : Data Platform Architect Project Role Description : Architects the data platform blueprint and implements the design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: We are looking for a highly skilled Senior Databricks Developer with extensive experience in building and managing modern data platforms on Azure using Lakehouse architecture. The ideal candidate will have strong hands-on experience in PySpark, SQL, and Azure Data Services, and a proven track record in developing scalable and efficient data pipelines. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure seamless integration between systems and data models, while also addressing any challenges that arise during the implementation process. You will engage in discussions with stakeholders to gather requirements and provide insights that drive the overall architecture of the data platform, ensuring it meets the needs of the organization effectively. Roles & Responsibilities: - Design, build, and optimize scalable data pipelines using Databricks, PySpark, and SQL on Azure. - Implement Lakehouse architecture for structured data ingestion, processing, and storage. - Build and manage Delta Lake tables and perform schema evolution and versioning. - Work with Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), and Azure Synapse for data integration and transformation. - Collaborate with data architects, analysts, and business teams to understand requirements and design efficient data solutions. - Optimize performance of large-scale data pipelines and troubleshoot data quality or latency issues. - Contribute to best practices around coding, testing, and data engineering workflows. - Document technical solutions and maintain code repositories. - Expected to be an SME. - Develop and maintain documentation related to the data platform architecture. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Strong hands-on experience with PySpark and advanced SQL for large-scale data processing. - Deep expertise in Databricks platform including notebooks, jobs, and Delta Lake. - Solid experience with Azure cloud services: ADLS Gen2, ADF, Azure Synapse, Key Vault, etc. - Knowledge of Lakehouse architecture concepts, implementation, and governance. - Experience in version control tools like Git and CI/CD pipelines. - Excellent problem-solving and debugging skills. - Strong communication and collaboration abilities across cross-functional teams. - Strong understanding of data integration techniques and best practices. - Experience with cloud-based data solutions and architectures. - Familiarity with data governance frameworks and compliance requirements. - Ability to design scalable and efficient data pipelines. Good to Have: • Experience in data quality checks and validation frameworks. • Exposure to DevOps and Infrastructure as Code (IaC) in Azure environments. • Familiarity with data governance tools like Unity Catalog or Azure Purview. • Knowledge of Delta Live Tables (DLT) is a plus. Additional Information: - The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Hyderabad office. - A 15 years full time education is required. 15 years full time education

Company Description Swiss Delivery Excellence: Transforming Life Science Consulting Worldwide. Fusion Consulting is a globally leading Business and IT boutique consultancy specialized in the Life Sciences industry, partnering with leading companies in pharma, healthcare, and animal health. With over 450 employees and 25 offices worldwide, our mission is to revolutionize our clients' business transformation challenges and set new industry standards through innovative solutions. Focused on S4HANA, Data & Cloud, and innovative technologies, Fusion Consulting brings unparalleled expertise and commitment to excellence to every project we undertake. Grounded in our commitment to fast and intelligent decision-making, our client-first and open-hearted approach defines our ethos. With unwavering support and an entrepreneurial spirit, our global teamwork transcends boundaries and turns shared visions into reality. Job Description We are looking for a skilled SAP QM Consultant to join our team. You will be a key part of the QM stream, contributing to a major S/4HANA implementation project in the pharmaceutical industry. What you will be doing: Collaborate with the QM stream team to develop and implement quality management strategies and processes. Assist in the assessment and analysis of current quality management practices, identifying areas for improvement. Support the documentation and maintenance of quality standards, procedures, and guidelines. Participate in quality audits and compliance checks to ensure adherence to established quality protocols. Provide input in the development of quality management training materials and programs. Assist in the preparation of reports and presentations related to quality management initiatives. Support the resolution of quality-related issues and collaborate with cross-functional teams to implement corrective actions. Contribute to the continuous improvement of quality management processes and tools. Qualifications Demonstrated experience in SAP QM projects within a life sciences environment. In-depth knowledge of SAP QM processes, configurations, and integration with other SAP modules. Strong communication and interpersonal skills, with the ability to engage with stakeholders at all levels. Experience in conducting workshops and training sessions. Proven ability to work effectively in a fast-paced and dynamic team environment. Excellent problem-solving and analytical skills. Fluency in English. Additional Information Why Fusion? At Fusion, we unite entrepreneurial minds from around the globe to develop and implement game-changing solutions that build lasting relationships with our clients. We value employees who challenge the status quo through innovation, adapt to diverse client needs in ever-changing environments, and commit to continuous learning—for themselves and their colleagues. We provide a competitive salary and benefits package, along with an outstanding work environment that fosters long-term career development opportunities. Our Benefits: Workflex: Enjoy 25 days of flexibility to work from your preferred global location. Flexible Time Off: Take the time you need to recharge and maintain a healthy work-life balance, with flexibility beyond standard holiday allowances. Annual Training Budget: Access CHF 1,500 to invest in your professional development and skill enhancement. Continuous Learning: Thrive in an environment that encourages ongoing learning, with opportunities to develop new skills and broaden your expertise. Global Mobility Support: Gain assistance with international assignments, visa/permit support, and relocation services. Unity Scheme: Benefit from loyalty rewards starting after 3 years of service. Referral Program: Earn a referral fee for every successfully hired referee. Local Benefits: Access a range of country-specific benefits tailored to your location. People Focus: Unite with the best global talent in life sciences, empowered to grow and collaborate in a vibrant environment. Truly Global: Join a truly global organization where mutual support, teamwork, and diversity drive our collective success.

Let’s build the future of medicine—together. Join Enveda as an Associate/Senior Associate, Purchase in Hyderabad, India, and help us transform natural compounds into life-changing medicines. We’re a team driven by curiosity and innovation—are you ready to make a difference? On-Site | Hyderabad, India | Full-Time | 🌿What Makes Us Enveda Life is smart, and we can learn from it. We’re reinventing drug discovery by harnessing nature’s intelligence. Our platform identifies new medicines four times faster than the industry standard—because patients can’t wait. What sets Enveda apart isn’t just what we do—it’s how we do it. Our culture is built on creativity, collaboration, and deep respect for each other. We believe “People Create All Value,” and our success is driven by the extraordinary team turning our mission into reality every day. We’re Proud Of The Momentum We’ve Built Jan 2024: Named a LinkedIn “Top Startup to Watch” Mar 2024: Forbes America’s Best Startup Employers - Oct 2024: First drug to Phase 1 Clinical Trials - Dec 2024: Raised a $130M Series C These milestones reflect the impact of our team and we’re just getting started, but they’re only possible because of the diverse talent, perspectives, and relentless drive of our team, and people like you. 🌱 Your Role in Our Mission At Enveda, every role drives impact. As a Supply Chain Associate , you’ll support our fast-growing operations team in maintaining a seamless procurement and logistics process. Your work will directly impact the availability of materials and tools that fuel our drug discovery labs—because every breakthrough starts with operational excellence. What You’ll Do Raise purchase requests and collect vendor quotations Support procurement of lab consumables, chemicals, and office supplies Help maintain accurate records of incoming and outgoing materials Coordinate with finance and operations teams for invoice processing Assist with vendor communication and documentation Support international logistics coordination and shipment tracking We’re Looking For Bachelor’s or Master’s degree in Science, Pharmacy, Commerce, or related field Eagerness to learn and grow in supply chain operations Strong communication, collaboration, and organizational skills Proficiency in MS Excel or Google Sheets (preferred) Proactive and adaptable to a fast-paced startup environment If you’re passionate about innovation and impact, we encourage you to apply—even if you don’t meet every requirement. Our Values: Curiosity | Agency | Journey | Charity | Unity Benefits: Culture | Medical | Block Leaves | Work-Life Harmony At Enveda, we’re building a place where everyone can do the best work of their life. We are an equal opportunity employer and value diversity in all its forms. 👉Apply now and join a team committed to shaping the future of drug discovery.

PLC/DCS/Drives: Emerson Automation Solutions-IP (PAC Systems, GMR/TMR Systems, 90-30 Series, Micro/Nano PLC). DeltaV, Siemens, and ABB 800xA with PM864 controllers and Control Builder Programming. Adapt in managing any PLC/DCS. Control Software: Proficy suite, iFIX, GMR – GEIP, ABB 800xA Control Builder, Siemens TIA Portal, Aveva Plant SCADA (With ASM Standards), Schneider Unity Pro, IA Ignition SCADA, PTC VT SCADA. Communication Protocols: Modbus Communication, Profinet, IEC61850, DNP, HART, OPC etc. Field Instruments and PLC Hardware: Proficient analyzation of field instruments like pressure/temperature/flow/level switches & transmitters, Fire & Gas detection Systems, limit switches, Installation support and testing, PLC IO wiring support and testing, configuring the field instruments for the PLC IO’s, developing logics for the same and testing, FAT/SAT support, review and rectification of customer queries during FAT/SAT. Proficient documentation skills in SCDs, C&Es, instrument and cable list documentation, IO tag databases, control systems, instruments, and valves.

Front-End Engineer (Real-Time Media, AI Avatars, React.js) Location: Dubai Employment Type: Full-Time Experience Level: Mid–Senior Level Reports To: Engineering Manager / Front-End Lead ⸻ Job Summary: We are seeking a highly skilled Front-End Engineer with a strong command of real-time, media-rich front-end systems and a passion for next-generation user experiences. This role involves building immersive UI frameworks that integrate 3D avatars, AI-driven Text-to-Speech (TTS) and Speech-to-Text (STT) technologies, WebRTC, and WebSocket infrastructures. You will help bring lifelike digital avatars and media-rich apps to life across web and mobile platforms. Key Responsibilities: • Build advanced front-end applications using React.js, Vue.js, Next.js, and TypeScript. • Integrate 3D avatars with real-time voice interaction using AI-based TTS and STT engines (e.g., Azure Cognitive Services, Google Cloud). • Connect WebSocket-based real-time speech and interaction flows with front-end rendering of avatars and media. • Handle media streaming, WebRTC, and low-latency audio/video processing within the browser. • Collaborate with back-end and AI/ML teams to bring interactive voice + avatar UX to life. • Embed Unity or Unreal Engine experiences into the UI cloud rendering. • Develop mobile apps using React Native with synchronization across devices. • Translate Figma designs into performant, accessible front-end components. • Implement telemetry and logging strategies for media, interaction, and failure handling using Azure App Insights. • Support unit testing and test automation with Playwright, Jest, etc. • Contribute to SDLC best practices, CI/CD pipelines, and Agile delivery via Azure DevOps. Required Skills & Qualifications: • 3–6 years of professional experience in front-end development. • Advanced knowledge of React.js, Vue.js, Next.js, TypeScript, and Tailwind CSS. • Strong understanding of video/audio streaming, WebRTC, HLS, or DASH. • Proven experience integrating with or developing WebSocket servers for live, real-time features. • Experience building media-heavy and real-time applications with high performance and reliability. • Hands-on experience with Unity or Unreal Engine integration in browser/mobile environments. • Solid experience with React Native for cross-platform mobile development. • Familiarity with front-end telemetry, performance tracking, and logging via Azure App Insights. • Proficient in test automation using Playwright, Jest, or Cypress. • Knowledge of SDLC practices and Agile delivery using Azure DevOps. ⸻ Nice to Have: • Background in WebGL, 3D rendering, pixel streaming, or low-latency media architecture. • Experience optimizing media playback across varying bandwidth and device conditions. • Understanding of accessibility (WCAG) and responsive UI performance best practices. ⸻

Front-End Engineer (Real-Time Media, AI Avatars, React.js) Location: Dubai Employment Type: Full-Time Experience Level: Mid–Senior Level Reports To: Engineering Manager / Front-End Lead ⸻ Job Summary: We are seeking a highly skilled Front-End Engineer with a strong command of real-time, media-rich front-end systems and a passion for next-generation user experiences. This role involves building immersive UI frameworks that integrate 3D avatars, AI-driven Text-to-Speech (TTS) and Speech-to-Text (STT) technologies, WebRTC, and WebSocket infrastructures. You will help bring lifelike digital avatars and media-rich apps to life across web and mobile platforms. Key Responsibilities: • Build advanced front-end applications using React.js, Vue.js, Next.js, and TypeScript. • Integrate 3D avatars with real-time voice interaction using AI-based TTS and STT engines (e.g., Azure Cognitive Services, Google Cloud). • Connect WebSocket-based real-time speech and interaction flows with front-end rendering of avatars and media. • Handle media streaming, WebRTC, and low-latency audio/video processing within the browser. • Collaborate with back-end and AI/ML teams to bring interactive voice + avatar UX to life. • Embed Unity or Unreal Engine experiences into the UI cloud rendering. • Develop mobile apps using React Native with synchronization across devices. • Translate Figma designs into performant, accessible front-end components. • Implement telemetry and logging strategies for media, interaction, and failure handling using Azure App Insights. • Support unit testing and test automation with Playwright, Jest, etc. • Contribute to SDLC best practices, CI/CD pipelines, and Agile delivery via Azure DevOps. Required Skills & Qualifications: • 3–6 years of professional experience in front-end development. • Advanced knowledge of React.js, Vue.js, Next.js, TypeScript, and Tailwind CSS. • Strong understanding of video/audio streaming, WebRTC, HLS, or DASH. • Proven experience integrating with or developing WebSocket servers for live, real-time features. • Experience building media-heavy and real-time applications with high performance and reliability. • Hands-on experience with Unity or Unreal Engine integration in browser/mobile environments. • Solid experience with React Native for cross-platform mobile development. • Familiarity with front-end telemetry, performance tracking, and logging via Azure App Insights. • Proficient in test automation using Playwright, Jest, or Cypress. • Knowledge of SDLC practices and Agile delivery using Azure DevOps. ⸻ Nice to Have: • Background in WebGL, 3D rendering, pixel streaming, or low-latency media architecture. • Experience optimizing media playback across varying bandwidth and device conditions. • Understanding of accessibility (WCAG) and responsive UI performance best practices. ⸻

This is a full-time on-site role for a Metaverse Architect located in Ghaziabad. As a Metaverse Architect, you will be responsible for designing, developing, and implementing metaverse environments and experiences. Your daily tasks will involve collaborating with cross-functional teams to create immersive virtual worlds, ensuring functionality, and user engagement. Additionally, you will be conducting research on the latest trends and technologies in the metaverse space and optimizing performance and scalability of metaverse projects. To excel in this role, you should have experience in virtual and augmented reality development, 3D modeling, and simulation design. Proficiency in using software development tools such as Unity, Unreal Engine, and other similar platforms for metaverse creation is essential. A strong understanding of blockchain technology, NFTs, and decentralized applications is required to innovate in this field. Your problem-solving skills and ability to think creatively will be put to the test in this role. Strong project management skills are necessary to manage multiple projects simultaneously. Excellent written and verbal communication skills are crucial for effective collaboration with team members and stakeholders. A Bachelor's degree in Computer Science, Game Design, Virtual Reality, or a related field is a minimum requirement for this position. Experience in the technology or gaming industry would be considered a plus, showcasing your familiarity with the fast-paced environment of digital innovation.,

As a Unity Game Developer at Vsion Technologies in Mumbai, you will play a crucial role in designing and developing core game mechanics using C# within the Unity game engine. Your responsibilities will include creating player controls, physics, gameplay loops, levels, and game modes. You will also be tasked with implementing upgrade/evolution systems and real-time multiplayer (PvP) features. Your expertise in Unity workflows, including GameObjects, Scenes, Prefabs, Animators, Animator Controllers, and Timeline, will be essential in developing camera controllers, combat mechanics, 3D character integration, inventory systems, and conditional game logic. Additionally, you will utilize Unity Netcode for GameObjects for multiplayer networking and integrate with AWS Gamelift and Firebase. You will be responsible for debugging, AI pathfinding, asset optimization, memory management, real-time rendering, shader development using Shader Graph, and optimizing CPU/GPU loads. Your role will also involve the implementation of in-app purchases (IAPs), authentication (Google, Facebook, Apple), session/login management, API integration, and game event scheduling. Experience in Ad SDK integration, analytics setup (Google Analytics, Unity Analytics), SFX, VFX, UI/UX development, dynamic menus, and CI/CD pipelines for mobile builds using Xcode and Android Studio will be beneficial. Proficiency in version control using Git (GitHub, Bitbucket) and collaborative tools like Trello, Figma, and Slack is preferred. If you are passionate about game development and possess the required skills, we invite you to join our team and contribute to building the future of gaming at Vsion Technologies. Feel free to connect or send your resume to kirang@vsiontek.com and be a part of an exciting journey in game development.,

The ideal candidate should possess strong knowledge of Android application development concepts, with a focus on developing complex Automotive Android Applications. Proficiency in Kotlin, Java, and C/C++ programming languages is essential, along with experience in developing UI using Jetpack Compose and writing unit test cases using Mockito and Roboelectric. Understanding of the latest Android Architecture Patterns and various Android frameworks/application design patterns is required. Experience in 3D rendering engines like Unity, Godot, or Unreal would be an added advantage. Additionally, the candidate should be proficient in Android System concepts, fundamentals of IPC, and OS concepts. Knowledge and experience in Service-Oriented Architecture (SOA) will be beneficial. Familiarity with software and hardware interactions specific to the area of expertise, as well as a sound understanding of system interactions, are key requirements. Basic knowledge of Agile software development and ALM tools such as JIRA is desirable. Responsibilities for this role include leading, designing, and developing complex HMI applications for various JLR carlines. This involves defining high-level designs (HLD) and system interactions for defined use cases, managing functional and non-functional requirements, and collaborating with product owners and systems engineers to translate customer/business needs into system requirements and high-level designs. The role also includes reviewing and signing off on low-level designs, conducting root cause analysis on defects, identifying fixes, assigning requirements to software components, defining quality attributes, creating acceptance test cases, resolving technical challenges, providing technical guidance to junior engineers, and supporting supplier sourcing decisions. The ideal candidate should have a minimum of 5-12 years of experience in automotive domains, particularly in complex onboard automotive projects. Experience in Android application development, preferably in the Automotive domain, is required. Strong programming skills in Kotlin, Java, and C/C++, expertise in design tools like Enterprise Architect, and a solid understanding of software design and architectural patterns are essential for this role.,

As a Senior Artist at Lakshya, a Keywords Studios company based in India with a team of over 700 employees, you will play a vital role in the art team. Your responsibilities will include studying and interpreting client specifications, contributing to effort estimation, creating high-quality 3D assets, providing guidance to team members, and actively participating in project meetings. With at least 5 years of experience in creating 3D art assets for AAA titles, you will utilize your excellent 3D environment creation skills and proficiency in industry-standard software like Maya, Max, Photoshop, and zBrush to deliver top-notch services. Additionally, your strong attention to detail, good communication skills, and ability to work effectively in a team setting will be essential in this role. Your role as a Senior Artist extends beyond art creation tasks to include elements of higher roles such as Art Lead and Specialist. You will be involved in pre-production work, troubleshooting, and ensuring that the work of yourself and your team members is completed within the budgeted effort. By blending artistic creativity with a strong process orientation, you will contribute to the success of projects and help uphold Lakshya's reputation as a highly talented and dependable game art studio. In this dynamic and challenging role, you will collaborate closely with the senior team, which comprises top-notch international and Indian talent. By leveraging your experience in creating 3D art assets for AAA titles and your knowledge of the Game Art pipeline, realtime shaders, and engines like Unreal and Unity, you will contribute to the growth of the game development eco-system in India. If you are a self-starter, team player, and have a passion for delivering best-in-class services in the game development industry, this role at Lakshya may be the perfect fit for you. For more information, please visit https://lakshyadigital.com/.,

You are a creative and motivated Graphic Design Intern eager to gain hands-on experience in graphic design, animation, and visual storytelling within a fast-paced and collaborative environment. You will collaborate with the design team to create engaging visual content for various digital and print projects. Your responsibilities include assisting in the development of marketing materials, website graphics, and social media visuals. You will design and animate graphics using tools like Adobe Illustrator, Adobe After Effects, and Unity. Moreover, you will participate in brainstorming sessions, contribute innovative design ideas, and apply design principles including color theory, typography, and layout design. Additionally, you will have the opportunity to gain exposure to 3D modeling tools such as 3ds Max and Unreal Engine. To excel in this role, you should have basic proficiency in design tools such as Adobe Illustrator, After Effects, and Photoshop. Familiarity with tools like Unity, 3ds Max, and Unreal Engine is a plus. While an understanding of C++ programming is an added advantage, it is not mandatory. Your strong attention to detail and keen eye for design aesthetics will be essential for success in this position. A passion for learning and growing in the field of design and animation is also highly desirable. This internship offers you the chance to work in person and be part of a dynamic team focused on creating high-quality visual content across various platforms.,

We are seeking a skilled and proficient 2D Animator with at least 5 years of experience in animation, specializing in Spine and game animation. As a 2D Animator, your primary responsibility will be to breathe life into characters, creatures, UI elements, and effects using Spine's skeletal animation system. This position requires a blend of technical rigging expertise and creative animation flair, along with the ability to collaborate effectively across design, art, and development teams. Your main tasks will include designing, rigging, and animating 2D assets using Spine Pro, collaborating with concept artists to prepare assets for animation, integrating animations into game engines (primarily Unity), and creating reusable animation rigs with various features like mesh deformation, IK, and path constraints. You will also work closely with developers to implement animation logic, optimize animations for performance, and contribute to the development of animation libraries and tools. Additionally, providing guidance and feedback to junior animators may be part of your role. The ideal candidate should possess a minimum of 5 years of professional 2D animation experience, with at least 3 years focused on Spine. Deep knowledge of Spine Pro features such as bones, meshes, weights, IK, skins, constraints, and animation blending is essential. Proficiency in applying traditional animation principles to skeletal animation and a strong portfolio demonstrating polished Spine animations are required. Experience in integrating animations into game engines, particularly Unity, troubleshooting rigging and animation issues independently, and working in Agile or fast-paced environments are also important qualifications. Good communication skills and the ability to collaborate effectively across different disciplines are highly valued. This is a full-time position with a day shift schedule, requiring the selected candidate to work in person. The expected start date for this role is 18/08/2025. If you meet the required qualifications and are excited about the opportunity to showcase your skills in 2D animation and Spine expertise, we would love to hear from you.,

Job Title: Data Architect What are my responsibilities? As a Data Architect, you will: Design & develop technical solutions to integrate disparate information and create meaningful insights for business using big-data architectures. Build and analyze large structured and unstructured datasets on scalable cloud infrastructures. Develop prototypes and proof of concepts using multiple data sources and big-data technologies. Process, manage, extract, and cleanse data to apply data analytics effectively. Design and develop scalable end-to-end data pipelines for batch and stream processing. Stay current with the Data Analytics landscape, exploring new technologies, techniques, tools, and methods. Inspire enthusiasm for using modern data technologies to solve problems and deliver business value. Qualification: Bachelor’s or Master’s in Computer Science & Engineering, or equivalent. Professional Degree in Data Engineering/Analytics is desirable. Experience Level: Minimum 8 years in software development, with at least 2-3 years hands-on experience in Big Data/Data Engineering. Desired Knowledge & Experience: Data Engineer - Big Data Developer: Spark: Spark 3.x, RDD/DataFrames/SQL, Batch/Structured Streaming; knowledge of internals like Catalyst/Tungsten/Photon. Databricks: Workflows, SQL Warehouses/Endpoints, DLT, Pipelines, Unity, Autoloader. IDE & Tools: IntelliJ/PyCharm, Git, Azure DevOps, GitHub Copilot. Testing: pytest, Great Expectations. CI/CD: Yaml Azure Pipelines, Continuous Delivery, Acceptance Testing. Big Data Design: Lakehouse/Medallion Architecture, Parquet/Delta, Partitioning, Distribution, Data Skew, Compaction. Languages: Python/Functional Programming (FP). SQL: TSQL, Spark SQL, HiveQL. Storage: Data Lake, Big Data Storage Design. Additional Helpful Skills: Data Pipelines: ADF, Synapse Pipelines, Oozie, Airflow. Languages: Scala, Java. NoSQL: Cosmos DB, MongoDB, Cassandra. Cubes: SSAS (ROLAP, HOLAP, MOLAP), AAS, Tabular Model. SQL Server: TSQL, Stored Procedures. Hadoop Stack: HDInsight, MapReduce, HDFS, YARN, Oozie, Hive, HBase, Ambari, Ranger, Atlas, Kafka. Data Catalogs: Azure Purview, Apache Atlas, Informatica. Big Data Architect: Expertise: Mastery of technologies, languages, and methodologies mentioned in Data Engineer – Big Data Developer. Mentorship: Mentor and educate developers on relevant technologies and methodologies. Architecture Styles: Lakehouse, Lambda, Kappa, Delta, Data Lake, Data Mesh, Data Fabric, Data Warehouses (e.g., Data Vault). Application Architecture: Microservices, NoSQL, Kubernetes, Cloud-native solutions. Experience: Proven track record across multiple technology generations (Data Warehouse → Hadoop → Big Data → Cloud → Data Mesh). Certification: Architect certifications such as Siemens Certified Software Architect or iSAQB CPSA. Required Soft Skills & Other Capabilities: Excellent communication skills to convey technical concepts to non-technical stakeholders. Strong attention to detail with a proven ability to solve complex business problems. Initiative and resilience to experiment with new ideas. Effective planning and organizational skills. Collaborative mindset for sharing ideas and developing solutions. Ability to work independently and in a global team environment.

As a Technical Faculty member at Indian Institute of Art and Design (IIAD) within the Communication Design department, you will play a vital role in supporting studio-based courses and design modules. Your primary responsibilities will include delivering technical instruction to students, ensuring hands-on proficiency in digital and print-based tools, design software, and production processes. By imparting your strong practical knowledge in visual communication tools and technologies, you will mentor students to bridge concepts with execution effectively. IIAD's Communication Design department is committed to providing a comprehensive education that covers all aspects of communication design. Our team emphasizes dynamic, interactive, and collaborative learning environments, focusing on multidisciplinary research, a process-driven approach, and the strategic integration of technology to enrich the educational experience. Key Responsibilities: - Deliver technical instruction across digital and print design workflows - Support students in translating conceptual ideas into high-quality outcomes - Assist in the setup of jury-ready submissions, exhibitions, and showcases - Integrate evolving design tools, including AI and generative technologies, into classroom practice - Recommend upgrades and new software tools that enhance the learning environment Required Technical Expertise: - Proficiency in Figma & Adobe XD for screen-based and interactive prototyping - Mastery of Adobe Creative Suite, including Photoshop, Illustrator, InDesign, After Effects, and Premiere Pro - Understanding of print production processes, file preparation, layout finalization, and output for display - Familiarity with digital fabrication and prototyping tools - Working knowledge of Unity and Blender is an added advantage Candidate Profile: - Degree/Diploma in Communication Design, Graphic Design, Visual Arts, Media Arts, or a related discipline - Minimum of 3-5 years of professional experience in a technical, design, or instructional role (prior educational experience preferred) - Strong interpersonal skills, patience, and the ability to mentor students effectively - Familiarity with project documentation and collaboration tools such as Notion and Miro - Willingness to keep pace with evolving design technologies, including generative and AI-based workflows This position offers an excellent opportunity for individuals who are passionate about shaping the next generation of designers and contributing to a vibrant academic community that values innovation, process, and collaboration.,

We are seeking an experienced Unity Developer with a minimum of 4 years of hands-on experience to join our in-house team at Mohali. As a Unity Developer, you will play a crucial role in the entire game development process, from ideation to deployment. Your responsibilities will include designing, developing, and optimizing engaging 2D and 3D games as well as interactive applications for various platforms. Collaboration with artists, designers, and fellow developers will be essential in this role. Key Responsibilities: - Developing captivating 2D and 3D games utilizing Unity and C# - Working closely with designers, animators, and developers to create immersive game experiences - Optimizing game performance across different platforms - Demonstrating proficiency in uGUI system, Canvas, and implementing UI integration best practices - Incorporating multiplayer functionality using tools like Photon - Integrating fundamental AR/VR features into projects - Applying AI to enrich game mechanics and non-player character behavior - Conducting testing, debugging, and documenting game code - Utilizing version control systems such as GIT for efficient code management - Demonstrating effective communication skills for seamless project coordination Requirements: - Minimum of 4 years of professional Unity 3D and C# development experience - Strong grasp of game physics and optimization techniques - Hands-on experience in both 2D and 3D game development - Familiarity with multiplayer frameworks like Photon - Understanding of AI integration and NPC behavior logic - Exposure to AR/VR technologies - Knowledge of mobile and console game development - Proficiency in version control systems (e.g., Git) - Excellent debugging and problem-solving abilities - Strong collaboration and communication skills within a team setting - Bachelor's degree in Computer Science, Game Development, or a related field Join us in creating exciting and innovative gaming experiences as part of our dynamic team.,

SuperGaming is a leading developer of real-time multiplayer games and game engines based in India. Our portfolio includes popular titles such as MaskGun and Silly Royale, as well as the game engine behind Indian-made games like Indus. We are at the forefront of the gaming industry, driving innovation with technology as our foundation. We are currently looking for an experienced Technical Artist to join our dynamic game development team. In this role, you will play a crucial part in creating, implementing, and optimizing visual elements, tools, and workflows using Unity to elevate the quality and performance of our games. Working closely with artists, designers, and programmers, you will bridge the gap between artistic vision and technical execution to ensure our games are visually stunning, performant, and aligned with our aesthetic and gameplay objectives. Responsibilities: - Integrate, configure, and optimize 3D/2D assets and environments in Unity for mobile platforms. - Develop and maintain efficient art automation scripts and in-engine tools. - Design and illuminate key backgrounds, store visuals, home screens, set up basic cinematics, and real-time rendered videos. - Manage and implement UI elements and special effects. - Build, adjust, and optimize shaders, visual effects, and particle systems for optimal mobile performance. - Collaborate with artists, designers, and programmers to troubleshoot issues and implement innovative technical solutions. Experience & Skills required: - Proficiency in Unity for mobile game development, including scene setup, asset pipeline, and optimization. - Basic scripting skills in C# and Python. - Strong understanding of mobile platform constraints, optimization techniques, and profiling. - Knowledge of lighting, composition, materials, and rendering workflow. - Familiarity with Unity UI workflows. - Experience with version control systems such as Git, Perforce, or similar tools.,

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers and our customers’ customers to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What You'll Do As a Senior Software Engineer will become a member of a key project in Teradata's High Availability offering. This organization is responsible for working with the Teradata Dual Active leadership in designing, coding, testing, and maintaining database virtualization products for the Teradata Unity/BCM program. The successful candidate will work as a contributing member of the Teradata's Unity/BCM team. The Senior Developer role includes Requirement analysis, design, develop and test and maintenance of new and existing features and all related technologies and required environments to ensure a successful product development lifecycle and delivery. This candidate, as time permits and as appropriate may also assist with product support. The engineer must be well versed in working in and contributing to a fully agile automated development and testing process. This is an individual contributor position reporting to an Engineering Manager. Who You'll Work With Works with project team members and architects and reports to Engineering Manager What Makes You a Qualified Candidate Bachelor’s degree in computer science, computer engineering or similar technical discipline with 5 to 8 years of working experience as Software Developer Experience with large-scale, enterprise grade software development in C/C++. Strong data structure, multi-threading and algorithms fundamentals Very good with any cloud development experience Knowledge of SQL and and understanding of relational database Strong background in database internals and/or analytics through academic or working exposure Knowledge of High Availability concepts and techniques Multi cloud platforms exposure What You'll Bring Creating strategies for enhancing the performance of existing cloud technology Maintaining applications and infrastructure for cloud-based platforms Analysing current systems to find flaws that can jeopardise cloud security Understanding of cloud enablement features that are required to be developed for Teradata software Design, develop, code, test & debug system software Good analytical and logical skills. Strong troubleshooting & debugging skills on Linux Sound software engineering principles Exposure to storage, filesystems will be advantage Working knowledge or exposure cloud technologies would be an added advantage Self-motivated and self-organizing individual, with a high capacity for rapid learning and having meticulous attention to detail Strong written and oral communication skills Effective team player and experienced in software development life cycle. Use of Agile methodologies and tools will be an advantage Technical support to customers or customer facing personnel Why We Think You'll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are. Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

CSQ127R34 The role is expected to drive customer success by designing, building, and productionizing cutting-edge ML solutions on the Databricks Data Intelligence Platform. Collaborate with enterprise clients to architect, optimize, and operationalize pipelines and models—especially LLM-based and generative-AI applications—ensuring scalable, reliable, and high-performance deployments in cloud environments. Must Have Skills Lead end-to-end analytics projects, including problem framing, data exploration, feature engineering, model development, validation, and deployment. 4+ years of technical experience (hands-on) Python, PySpark. Experience with ML libraries/frameworks: Scikit-learn, TensorFlow, PyTorch, Spark MLlib. Expertise on Deep Learning and distributed implementations of machine learning. Advanced knowledge of at least one cloud environment (AWS, Azure, GCP). Domain/technical expertise (e.g. Banking/Retail/Healthcare, Predictive modeling/Computer Vision, etc.). Expertise with MLOps tools and processes, including MLflow for tracking and deployment. Experience delivering LLM and GenAI solutions at scale (RAG architectures, prompt engineering). Design generative-AI architectures (RAG, agents, text2SQL, fine-tuning) with tools such as HuggingFace, LangChain, or OpenAI, integrating them against enterprise knowledge stores. Experience on Model-serving on Databricks and other Cloud platforms (AWS, Azure, GCP). Optimize performance and scalability of data pipelines and models leveraging Delta Lake, Databricks Jobs, and Spark tuning best practices Apply best-in-class MLOps practices: automated CI/CD for model deployment, monitoring for drift, and continuous performance optimization in AWS/Azure/GCP. Optimize data science workloads for performance and cost, advising on distributed computing and Spark tuning in client environments. Translate business requirements into technical solutions, delivering proofs-of-concept and production applications that solve real-world problems. Excellent communication and client-facing consulting skills, with ability to simplify complex technical concepts. Documentation and white-boarding skills. Willingness to travel for on-site customer engagements within India. Good-to-have Skills Understands the larger competitive landscape such as EMR, Snowflake, and Sagemaker. Expertise on Data Engineering in Big Data technology stack - Hadoop & Databricks. Partner with Product, Engineering, Go-to-Market, and Customer Success teams to translate business requirements into actionable data science solutions. Advocate for robust data governance, quality, and observability practices, working with Data Engineering and Security teams on Unity Catalog, access controls, and monitoring. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

ID: 33551 | 7-10 yrs | CT Pune (E) - EON | careers Who We Are CitiusTech - Shaping Healthcare Possibilities. CitiusTech is a global IT services, consulting, and business solutions enterprise 100% focused on the healthcare and life sciences industry. We enable 140+ enterprises to build a human-first ecosystem that is efficient, effective, and equitable with deep domain expertise and next-gen technology. With over 8,500 healthcare technology professionals worldwide, CitiusTech powers healthcare digital innovation, business transformation, and industry-wide convergence through next-generation technologies, solutions, and products. Our Purpose We are shaping healthcare possibilities to make our clients’ businesses successful, which is not just a statement but our purpose, driving us to explore what’s next in healthcare. Our goal is clear: to make healthcare better for all – more efficient, effective, and equitable. We are investing in people, technology, innovation, and partnerships to create meaningful change. We see technology not just as a tool but as a catalyst that amplifies human ingenuity to solve complex healthcare challenges. 100% healthcare focus | Trusted by 140+ healthcare and life sciences enterprises | 40% of Fortune 500 healthcare enterprises are our clients | #1 Rated as a leader by top analyst firms Our vision To inspire new possibilities for the health ecosystem with technology and human ingenuity. What is in it for you? As a Senior Healthcare Business Analyst , you will be a part of an Agile team to design and build healthcare applications and implement new features while adhering to the best coding development standards. Responsibilities: - Deliver technical preliminary design documents. Involve in detailed analysis of data systems that help solving complex business problems in an agile environment. Provide consulting support for IT and Business partners by researching, identifying and resolving complex technical problems. Meet defined deadlines, and maintain a high level of quality. Create system test plans, test criteria, and test data. Understand and participate in deliverables required by approved Development Lifecycles. Create program, system, operational and User documentation. Perform testing, and document the results. Adhere to policies, procedures, and standards in place within IT and all corporate policies, procedures, and standards to improve policies and procedures where appropriate. Experience: - 7 - 8 Years Location: - Mumbai Pune Chennai Educational Qualifications: - Engineering Degree – BE/ME/BTech/MTech/BSc/MSc. Technical certification in multiple technologies is desirable. Relevant industry recognized certification related to project management, e.g. CSPO, PMP, Agile PM, SAFe Skills: - Mandatory Technical Skills: - US Healthcare domain knowledge is a must. Strong knowledge of SQL, demonstrated capability in writing complex queries, joins, creating report, and more Experience working in data warehouse, Data management and migration projects are a must. Should be able to work with DBA, DB developers Work within identified scope of project, gather business requirements by working with business stakeholders, and Vendors (or cross-functional technical teams) Must have worked on creating BRD, FRDs, UML and flow diagram Ability to facilitate business requirement, elicitation sessions for multiple stakeholders Capture and write document business requirements including system application flows and impacts Development of new process flows and functionality integration, and adding any needed clarity to requirements and documenting progress. Identify potential issues and risks after conducting a gap analysis Plan and consult with business stakeholders on data reporting and trending reports as needed Primary Contact To Assist In Defining Business System Requirements Work with appropriate departments to ensure technical information is accurate and documented Create and apply diagrams that represent the flow, process, and transformation of data within various systems for current and future state Maintain approved project artifacts, and follow version control processes Good attitude and open to change Experience working in Agile model Excellent communication skills Expected deliverables include but are not limited to requirement analysis, system analysis, source code documentation, test case development, testing, and other documentation. In this position it is essential that departmental policies and procedures be adhered to. Those include, but are not limited to, technical and architecture standards, production implementation standards, regular status reporting, regular participation in team, regular one on one meetings with Lead or Manager, and providing work estimates and regular time tracking. Good to Have Skills: - Development/Data analyst experience Data Warehousing Experience in working on tools such as Microsoft Project, Jira and Confluence Strategic Thinking Knowledge of vulnerability and security domain is an add on benefit Our commitment To combine the best of IT services, consulting, products, accelerators, and frameworks with a client-first mindset and next-gen tech understanding. Together, we’re humanizing healthcare to make a positive impact on human lives. What Drives Us At CitiusTech, we believe in making a tangible difference in healthcare. We constantly explore new ways to transform the industry, from AI-driven solutions to advanced data analytics and cloud computing. Our collaborative culture, combined with a relentless drive for excellence, positions us as innovators reshaping the healthcare landscape, one solution at a time. Life@CitiusTech We focus on building highly motivated engineering teams and thought leaders with an entrepreneurial mindset centered on our core values of Passion, Respect, Openness, Unity, and Depth (PROUD) of knowledge . Our success lies in creating a fun, transparent, non-hierarchical, diverse work culture that focuses on continuous learning and work-life balance. Rated by our employees as the ‘Great Place to Work for’ according to the Great Place to Work survey. We offer you comprehensive benefits to ensure you have a long and rewarding career with us. Our EVP Be You Be Awesome is our EVP. It reflects our continuing efforts to create CitiusTech as a great workplace where our employees can thrive, personally and professionally. It encompasses the unique benefits and opportunities we offer to support your growth, well-being, and success throughout your journey with us and beyond. Together with our clients, we are solving some of the greatest healthcare challenges and positively impacting human lives. Welcome to the world of Faster Growth, Higher Learning, and Stronger Impact. Here is an opportunity for you to make a difference and collaborate with global leaders to shape the future of healthcare and positively impact human lives. To learn more about CitiusTech, visit https://www.citiustech.com/careers Happy applying! Job Id: KjrkAaFuI5T8VPyS6hEYPIdImtKwqTvenuilAasn290WLJEXvTcAB/q+IkMvC7uPtFQr4tMnNo3gl9QSwi1ChIm/mbIfLW6njPIuj+5WKnfk

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Data Engineering Manager Objectives and Purpose The Data Engineering Manager leads large scale solution architecture design and optimisation to provide streamlined insights to partners throughout the business. This individual leads the team of Mid and Senior data engineers to partner with visualization on data quality and troubleshooting needs. The Data Engineering manager will: Implement data processes for the data warehouse and internal systems Lead a team of Junior and Senior Data Engineers in executing data processes and providing quality, timely data management Managing data architecture, designing ETL process Clean, aggregate and organize data from disparate sources and transfer it to data warehouses. Lead development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Support team members and direct reports in refining and validating data sets. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Lead the design, development, optimization, and maintenance of data architecture and pipelines adhering to ETL principles and business goals. Develop and maintain scalable data pipelines, build out new integrations using AWS native technologies and data bricks to support increases in data source, volume, and complexity. Define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment. Lead the ad hoc data analysis, support standardization, customization and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Solve complex data problems to deliver insights that help achieve business objectives. Partner with Business Analysts and Enterprise Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists, visualization developers and other data consumers to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. To qualify for the role, you must have the following: Preferred Skillsets Bachelor's degree in Engineering, Computer Science, Data Science, or related field 10+ years of experience in software development, data engineering, ETL, and analytics reporting development. Expert in building and maintaining data and system integrations using dimensional data modelling and optimized ETL pipelines. Experience in design and developing ETL pipelines using ETL tools like IICS, Datastage, Abinitio, Talend etc. Advanced experience utilizing modern data architecture and frameworks like data mesh, data fabric, data product design Experience with designing data integration frameworks capable of supporting multiple data sources, consisting of both structured and unstructured data Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python, SQL) Distributed Data Framework (e.g., Spark) Cloud platform services (AWS preferred) Relational Databases Working knowledge of DevOps (Github/Gitlab etc.) with continuous integration AWS knowledge on services like Lambda, DMS, Step Functions, S3, Event Bridge, Cloud Watch, Aurora RDS or related AWS ETL services Knowledge of Data lakes, Data warehouses Databricks/Delta Lakehouse architecture Deep understanding of database architecture, Data modelling concepts and administration. Handson experience of Spark Structured Streaming for building real-time ETL pipelines. Proficient in programming languages (e.g., SQL, Python, Pyspark) to design, develop, maintain, and optimize data architecture/pipelines that fit business goals. Extracts, transforms, and loads data from multiple external/internal sources using Databricks Lakehouse/Data Lake concepts into a single, consistent source to serve business users and data visualization needs. Leverages continuous integration and delivery principles to automate code deployment to elevated environments using GitHub Actions. Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners. Strong organizational skills with the ability to manage multiple projects simultaneously, operating as leading member across globally distributed teams. Strong problem solving and troubleshooting skills. Lead and oversee the code review process within the data engineering team to ensure high-quality, efficient, and maintainable code, while optimizing for performance and scalability. Ability to work in a fast-paced environment and adapt to changing business priorities. Identifying and implementing strategies to optimize AWS / Databricks cloud costs, ensuring efficient and cost-effective use of cloud resources. Understanding of Databricks Unity Catalog for effective data governance and implementing robust access control mechanisms is highly advantageous. Good To Have Skillsets Master's degree in engineering specialized in Computer Science, Data Science, or related field Demonstrated understanding and experience using: Knowledge in CDK Experience in IICS Data Integration tool Job orchestration tools like Tidal/Airflow/ or similar Knowledge on No SQL Experience in a global working environment Databricks Certified Data Engineer Professional AWS Certified Data Engineer - Associate EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Data Engineering Manager Objectives and Purpose The Data Engineering Manager leads large scale solution architecture design and optimisation to provide streamlined insights to partners throughout the business. This individual leads the team of Mid and Senior data engineers to partner with visualization on data quality and troubleshooting needs. The Data Engineering manager will: Implement data processes for the data warehouse and internal systems Lead a team of Junior and Senior Data Engineers in executing data processes and providing quality, timely data management Managing data architecture, designing ETL process Clean, aggregate and organize data from disparate sources and transfer it to data warehouses. Lead development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Support team members and direct reports in refining and validating data sets. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Lead the design, development, optimization, and maintenance of data architecture and pipelines adhering to ETL principles and business goals. Develop and maintain scalable data pipelines, build out new integrations using AWS native technologies and data bricks to support increases in data source, volume, and complexity. Define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment. Lead the ad hoc data analysis, support standardization, customization and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Solve complex data problems to deliver insights that help achieve business objectives. Partner with Business Analysts and Enterprise Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists, visualization developers and other data consumers to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. To qualify for the role, you must have the following: Preferred Skillsets Bachelor's degree in Engineering, Computer Science, Data Science, or related field 10+ years of experience in software development, data engineering, ETL, and analytics reporting development. Expert in building and maintaining data and system integrations using dimensional data modelling and optimized ETL pipelines. Experience in design and developing ETL pipelines using ETL tools like IICS, Datastage, Abinitio, Talend etc. Advanced experience utilizing modern data architecture and frameworks like data mesh, data fabric, data product design Experience with designing data integration frameworks capable of supporting multiple data sources, consisting of both structured and unstructured data Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python, SQL) Distributed Data Framework (e.g., Spark) Cloud platform services (AWS preferred) Relational Databases Working knowledge of DevOps (Github/Gitlab etc.) with continuous integration AWS knowledge on services like Lambda, DMS, Step Functions, S3, Event Bridge, Cloud Watch, Aurora RDS or related AWS ETL services Knowledge of Data lakes, Data warehouses Databricks/Delta Lakehouse architecture Deep understanding of database architecture, Data modelling concepts and administration. Handson experience of Spark Structured Streaming for building real-time ETL pipelines. Proficient in programming languages (e.g., SQL, Python, Pyspark) to design, develop, maintain, and optimize data architecture/pipelines that fit business goals. Extracts, transforms, and loads data from multiple external/internal sources using Databricks Lakehouse/Data Lake concepts into a single, consistent source to serve business users and data visualization needs. Leverages continuous integration and delivery principles to automate code deployment to elevated environments using GitHub Actions. Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners. Strong organizational skills with the ability to manage multiple projects simultaneously, operating as leading member across globally distributed teams. Strong problem solving and troubleshooting skills. Lead and oversee the code review process within the data engineering team to ensure high-quality, efficient, and maintainable code, while optimizing for performance and scalability. Ability to work in a fast-paced environment and adapt to changing business priorities. Identifying and implementing strategies to optimize AWS / Databricks cloud costs, ensuring efficient and cost-effective use of cloud resources. Understanding of Databricks Unity Catalog for effective data governance and implementing robust access control mechanisms is highly advantageous. Good To Have Skillsets Master's degree in engineering specialized in Computer Science, Data Science, or related field Demonstrated understanding and experience using: Knowledge in CDK Experience in IICS Data Integration tool Job orchestration tools like Tidal/Airflow/ or similar Knowledge on No SQL Experience in a global working environment Databricks Certified Data Engineer Professional AWS Certified Data Engineer - Associate EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Data Engineering Manager Objectives and Purpose The Data Engineering Manager leads large scale solution architecture design and optimisation to provide streamlined insights to partners throughout the business. This individual leads the team of Mid and Senior data engineers to partner with visualization on data quality and troubleshooting needs. The Data Engineering manager will: Implement data processes for the data warehouse and internal systems Lead a team of Junior and Senior Data Engineers in executing data processes and providing quality, timely data management Managing data architecture, designing ETL process Clean, aggregate and organize data from disparate sources and transfer it to data warehouses. Lead development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Support team members and direct reports in refining and validating data sets. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Lead the design, development, optimization, and maintenance of data architecture and pipelines adhering to ETL principles and business goals. Develop and maintain scalable data pipelines, build out new integrations using AWS native technologies and data bricks to support increases in data source, volume, and complexity. Define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment. Lead the ad hoc data analysis, support standardization, customization and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Solve complex data problems to deliver insights that help achieve business objectives. Partner with Business Analysts and Enterprise Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists, visualization developers and other data consumers to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. To qualify for the role, you must have the following: Preferred Skillsets Bachelor's degree in Engineering, Computer Science, Data Science, or related field 10+ years of experience in software development, data engineering, ETL, and analytics reporting development. Expert in building and maintaining data and system integrations using dimensional data modelling and optimized ETL pipelines. Experience in design and developing ETL pipelines using ETL tools like IICS, Datastage, Abinitio, Talend etc. Advanced experience utilizing modern data architecture and frameworks like data mesh, data fabric, data product design Experience with designing data integration frameworks capable of supporting multiple data sources, consisting of both structured and unstructured data Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python, SQL) Distributed Data Framework (e.g., Spark) Cloud platform services (AWS preferred) Relational Databases Working knowledge of DevOps (Github/Gitlab etc.) with continuous integration AWS knowledge on services like Lambda, DMS, Step Functions, S3, Event Bridge, Cloud Watch, Aurora RDS or related AWS ETL services Knowledge of Data lakes, Data warehouses Databricks/Delta Lakehouse architecture Deep understanding of database architecture, Data modelling concepts and administration. Handson experience of Spark Structured Streaming for building real-time ETL pipelines. Proficient in programming languages (e.g., SQL, Python, Pyspark) to design, develop, maintain, and optimize data architecture/pipelines that fit business goals. Extracts, transforms, and loads data from multiple external/internal sources using Databricks Lakehouse/Data Lake concepts into a single, consistent source to serve business users and data visualization needs. Leverages continuous integration and delivery principles to automate code deployment to elevated environments using GitHub Actions. Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners. Strong organizational skills with the ability to manage multiple projects simultaneously, operating as leading member across globally distributed teams. Strong problem solving and troubleshooting skills. Lead and oversee the code review process within the data engineering team to ensure high-quality, efficient, and maintainable code, while optimizing for performance and scalability. Ability to work in a fast-paced environment and adapt to changing business priorities. Identifying and implementing strategies to optimize AWS / Databricks cloud costs, ensuring efficient and cost-effective use of cloud resources. Understanding of Databricks Unity Catalog for effective data governance and implementing robust access control mechanisms is highly advantageous. Good To Have Skillsets Master's degree in engineering specialized in Computer Science, Data Science, or related field Demonstrated understanding and experience using: Knowledge in CDK Experience in IICS Data Integration tool Job orchestration tools like Tidal/Airflow/ or similar Knowledge on No SQL Experience in a global working environment Databricks Certified Data Engineer Professional AWS Certified Data Engineer - Associate EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Data Engineering Manager Objectives and Purpose The Data Engineering Manager leads large scale solution architecture design and optimisation to provide streamlined insights to partners throughout the business. This individual leads the team of Mid and Senior data engineers to partner with visualization on data quality and troubleshooting needs. The Data Engineering manager will: Implement data processes for the data warehouse and internal systems Lead a team of Junior and Senior Data Engineers in executing data processes and providing quality, timely data management Managing data architecture, designing ETL process Clean, aggregate and organize data from disparate sources and transfer it to data warehouses. Lead development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Support team members and direct reports in refining and validating data sets. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Lead the design, development, optimization, and maintenance of data architecture and pipelines adhering to ETL principles and business goals. Develop and maintain scalable data pipelines, build out new integrations using AWS native technologies and data bricks to support increases in data source, volume, and complexity. Define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment. Lead the ad hoc data analysis, support standardization, customization and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Solve complex data problems to deliver insights that help achieve business objectives. Partner with Business Analysts and Enterprise Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists, visualization developers and other data consumers to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. To qualify for the role, you must have the following: Preferred Skillsets Bachelor's degree in Engineering, Computer Science, Data Science, or related field 10+ years of experience in software development, data engineering, ETL, and analytics reporting development. Expert in building and maintaining data and system integrations using dimensional data modelling and optimized ETL pipelines. Experience in design and developing ETL pipelines using ETL tools like IICS, Datastage, Abinitio, Talend etc. Advanced experience utilizing modern data architecture and frameworks like data mesh, data fabric, data product design Experience with designing data integration frameworks capable of supporting multiple data sources, consisting of both structured and unstructured data Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python, SQL) Distributed Data Framework (e.g., Spark) Cloud platform services (AWS preferred) Relational Databases Working knowledge of DevOps (Github/Gitlab etc.) with continuous integration AWS knowledge on services like Lambda, DMS, Step Functions, S3, Event Bridge, Cloud Watch, Aurora RDS or related AWS ETL services Knowledge of Data lakes, Data warehouses Databricks/Delta Lakehouse architecture Deep understanding of database architecture, Data modelling concepts and administration. Handson experience of Spark Structured Streaming for building real-time ETL pipelines. Proficient in programming languages (e.g., SQL, Python, Pyspark) to design, develop, maintain, and optimize data architecture/pipelines that fit business goals. Extracts, transforms, and loads data from multiple external/internal sources using Databricks Lakehouse/Data Lake concepts into a single, consistent source to serve business users and data visualization needs. Leverages continuous integration and delivery principles to automate code deployment to elevated environments using GitHub Actions. Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners. Strong organizational skills with the ability to manage multiple projects simultaneously, operating as leading member across globally distributed teams. Strong problem solving and troubleshooting skills. Lead and oversee the code review process within the data engineering team to ensure high-quality, efficient, and maintainable code, while optimizing for performance and scalability. Ability to work in a fast-paced environment and adapt to changing business priorities. Identifying and implementing strategies to optimize AWS / Databricks cloud costs, ensuring efficient and cost-effective use of cloud resources. Understanding of Databricks Unity Catalog for effective data governance and implementing robust access control mechanisms is highly advantageous. Good To Have Skillsets Master's degree in engineering specialized in Computer Science, Data Science, or related field Demonstrated understanding and experience using: Knowledge in CDK Experience in IICS Data Integration tool Job orchestration tools like Tidal/Airflow/ or similar Knowledge on No SQL Experience in a global working environment Databricks Certified Data Engineer Professional AWS Certified Data Engineer - Associate EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.