22 Data Engineers Jobs

Databricks is experiencing record-breaking expansion, helping the worlds leading enterprises harness the power of data, machine learning, and AI to transform their businesses. As we continue to scale our Professional Services organization in India, we are looking for a Senior Recruiter who will focus on building out high-caliber talent pipelines for roles such as Resident Solution Architects (RSA), Data Engineering Specialists, AI/ML Experts, Project Managers, and Engagement Managers. This is your opportunity to make a significant impact in one of the worlds fastest-growing tech companies, helping us deliver exceptional customer success with the best talent in the industry. Your Impact Own full-cycle recruiting for Professional Services roles in India, including Solution Architects, Data/AI specialists, and Professional Services leadership positions. Partner closely with Regional & Global Leaders to understand hiring needs and design strategies that deliver top technical and consulting talent at speed and scale. Develop and maintain scalable talent pipelines, engaging both active and passive candidates to anticipate current and future hiring needs. Leverage data-driven insights to guide workforce planning, hiring strategies, and business leader decision-making. Drive initiatives around hiring efficiency, candidate experience, inclusion, and employer branding, establishing Databricks as an employer of choice for Professional Services talent in India. Collaborate with peers across APJ to share best practices and support cross-country hiring efforts. What Were Looking For Proven experience recruiting for Professional Services / Consulting roles in the software or cloud/data/AI space. Demonstrated success in hiring Solution Architects, Technical Consultants, Data Engineers, AI/ML specialists, and Program/Engagement Managers. Strong ability to build trusted partnerships with hiring managers and leaders, influencing outcomes and enabling business growth. Expertise in scaling talent acquisition processes in fast-growth, innovative environments. Experience leading initiatives across India and the broader APJ region, including driving projects around sourcing innovation, DEI, and process optimization. Passion for mentoring, collaboration, and creating world-class candidate experiences. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond 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&aposs 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. Show more Show less

A career within Actuarial Services will provide you with the opportunity to contribute general insurance advice and consulting services to clients such as insurers, banks, regulators, and third-party administrators. You will provide advice covering solvency, economic capital, risk management, mergers and acquisitions, company restructuring and risk control, financial modeling, underwriting, new legislation, and the efficiency of claims or reporting processes. Your role may involve analyzing the impact that new regulations will have on an insurance company's balance sheet or revising business projections to ensure adequate reserves. To stand out and ensure a successful future in a constantly changing world, each individual at PwC needs to be a purpose-led and values-driven leader at every level. The PwC Professional, our global leadership development framework, sets clear expectations across lines, geographies, and career paths. It emphasizes the skills required for success and career progression in the present and future. **Responsibilities:** As a Senior Associate, working as part of a problem-solving team at PwC, your responsibilities include but are not limited to: - Developing self-awareness, addressing development areas, and leveraging feedback and reflection. - Delegating tasks to provide growth opportunities for others, coaching them to achieve results. - Demonstrating critical thinking and structuring solutions for complex business problems. - Utilizing various tools and techniques to extract insights from industry trends. - Reviewing work for quality, accuracy, and relevance, including that of colleagues. - Making informed decisions on tool usage and explaining the rationale behind choices. - Embracing diverse opportunities to gain exposure to different situations and perspectives. - Communicating effectively and influencing others in a structured manner. - Adapting behavior to build strong relationships and upholding ethical standards. - Contributing to the development of AI solutions, including prompt engineering, retrieval-augmented generation, fine-tuning, and multi-agent systems. - Applying econometric modeling techniques like GLMs, time series analysis, and semi-parametric models. - Using machine learning models such as XGBoost, random forests, and support vector machines. - Ensuring compliance with model-related regulatory requirements during model development, validation, and monitoring. - Proficiency in programming languages like Python, R, Databricks, and React. - Enforcing DevOps best practices including version control, CI/CD, test automation, and collaboration. - Designing, developing, and deploying AI models in real-world client environments. - Monitoring AI trends and supporting project delivery to enhance business processes and decision-making. - Collaborating with cross-functional teams to deliver high-quality solutions aligned with client needs. - Supporting business development efforts and internal GenAI assets to grow the firm's practice. **Qualifications:** **Minimum Educational Qualifications:** - A degree in statistics, mathematics, electrical engineering, physics, econometrics, computer science, or related technical fields. **Credentials - Good To Have:** - A master's degree or PhD in a related field from a premium institute is preferred but not required. **Minimum Years of Experience Requirement (Credential):** - 3-4 years of relevant experience.,

We are looking for a highly analytical and detail-oriented Healthcare Data Analyst with strong QA experience. Your role will involve validating data ingestion processes, ensuring data warehouse integrity, testing rule engine outputs, and monitoring streaming datasets from Kafka topics. Proficiency in SQL, data validation techniques, and a solid understanding of healthcare data workflows and downstream systems are essential for this position. As a Healthcare Data Analyst with QA Experience, you will be responsible for various tasks, including performing QA testing on data ingestion pipelines to maintain data accuracy, validating data warehouse structures and consistency across multiple sources, verifying rule engine outputs, executing complex SQL queries for data validation and profiling, ensuring data integrity across systems, monitoring streaming datasets ingested through Kafka topics, collaborating with data engineers, business analysts, and QA teams to define test strategies, and documenting test cases and procedures. We are seeking candidates with at least 4 years of experience for this full-time employment opportunity at all Persistent locations. Your expertise in data validation, QA testing, SQL, and collaboration with cross-functional teams will be crucial in this role. In addition to competitive salary and benefits, we offer a culture focused on talent development, opportunities to work with cutting-edge technologies, employee engagement initiatives, annual health check-ups, and insurance coverage for self, spouse, children, and parents. We are committed to fostering diversity and inclusion in the workplace, providing hybrid work options, flexible hours, and accessible facilities for employees with specific requirements. At Persistent, we aim to create a values-driven and people-centric work environment where employees can accelerate growth professionally and personally, make a positive impact using the latest technologies, enjoy collaborative innovation, and unlock global opportunities for learning and development. Join us to unleash your full potential in an inclusive and equal opportunity workplace.,

As the Director - Talent Acquisition at Accordion in Hyderabad, Telangana, you will be instrumental in bringing top talent into the company by implementing effective talent acquisition strategies, managing a team of Recruitment Managers, sourcing candidates, and overseeing the talent acquisition process. Your role will involve collaborating with the Senior Leadership Team to align talent planning strategies with business objectives, exhibiting subject matter expertise in technology roles hiring, and contributing to critical roles across the technology domain through behavioural assessments and compensation negotiations. You will lead workforce planning efforts, maintain accountability for evolving headcount changes, and strengthen employer branding initiatives. Additionally, you will represent Talent Acquisition in internal forums, manage internal application tracking systems, oversee data management and reporting responsibilities, and ensure TA compliance management requirements. Furthermore, you will be responsible for managing external vendor relationships, overseeing the offer proposal process, and driving comprehensive offer negotiations. The ideal candidate for this role should possess 8-12 years of experience in similar positions at start-ups or mid-size companies, hold a post-graduate degree from a reputed institute, demonstrate very strong written and verbal communication skills, exhibit strong people management skills and influencing capabilities, and showcase experience in managing people to deliver results in a fast-paced environment. Independent thought leadership, proactive approach, and team-oriented mindset are also crucial attributes for this role. Exploring a career at Accordion offers various benefits, including a high-growth environment with semi-annual performance management and promotion cycles, cross-domain exposure to interesting and challenging work streams, an entrepreneurial environment that fosters intellectual freedom, and a fun culture with a strong peer group. Additionally, full-time employees enjoy benefits such as health and wellness programs, corporate meal card options, team lunches, company-sponsored team outings and celebrations, a robust leave policy, reward and recognition platforms, and a positive and transparent work environment with various employee engagement and benefit initiatives to support personal and professional learning and development. Join Accordion and play a key role in transforming how portfolio companies drive value while enjoying a dynamic and rewarding career in a supportive and growth-oriented environment.,

A career within Actuarial Services will provide you with the opportunity to contribute general insurance advice and consulting services to clients such as insurers, banks, regulators, and third-party administrators. You will provide advice covering solvency, economic capital, risk management, mergers and acquisitions, company restructuring and risk control, financial modeling, underwriting, new legislation, and the efficiency of claims or reporting processes. Simply put, you might help analyze the impact that new regulation will have on an insurance company's balance sheet or you could be revising business projections and making sure they have adequate reserves. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this, we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies, and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. Responsibilities As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: - Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. - Delegate to others to provide stretch opportunities, coaching them to deliver results. - Demonstrate critical thinking and the ability to bring order to unstructured problems. - Use a broad range of tools and techniques to extract insights from current industry or sector trends. - Review your work and that of others for quality, accuracy, and relevance. - Know how and when to use tools available for a given situation and can explain the reasons for this choice. - Seek and embrace opportunities that give exposure to different situations, environments, and perspectives. - Use straightforward communication, in a structured way, when influencing and connecting with others. - Able to read situations and modify behavior to build quality relationships. - Uphold the firm's code of ethics and business conduct. - Help contribute to the development of GenAI solutions, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, AI agents, and multi-agent systems (MAS). - Apply econometric modeling techniques such as generalized linear models (GLMs), time series analysis, and semi-parametric models (e.g., fractional response models). - Utilize machine learning models including XGBoost, random forests, and support vector machines. - During the development, validation, and monitoring of models, ensure compliance with model-related regulatory requirements and standards such as SR 11-7, Colorado SB21-169, NIST, ISO 42001, and the NAIC Model Bulletin. - Experience with programming languages and environments such as Python, R, Databricks, and React. - Enforce DevOps best practices, including version control (Git), CI/CD, test automation, infrastructure as code, system monitoring, and cross-functional collaboration. - Design, develop, and deploy AI models in real-world client and business environments. - Monitor and research emerging AI trends, fostering an agile, forward-looking development environment. - Support project delivery and work with clients to process structured and unstructured data to improve business processes, workflows, and decision-making. - Support the documentation and technical analysis efforts for validators, auditors, and regulators; clearly communicate complex concepts to non-technical stakeholders. - Work with cross-functional teamsdata engineers, architects, and data scientiststo deliver efficient, high-quality solutions aligned with client needs. - Support business development efforts, including the technical sales cycles and the client proposal process. - Support the development of internal GenAI assets and foundational capabilities to grow the firm's practice. Qualifications Minimum Educational Qualifications: A degree in statistics, mathematics, electrical engineering, physics, econometrics, computer science, or another related technical field. Credentials - Good To Have A master's degree or PhD in a related field from a premium institute is preferred but is not required. Min years of Experience Requirement (Credential) - 3-4 years,

As a Technical Lead / Data Architect, you will play a crucial role in our organization by leveraging your expertise in modern data architectures, cloud platforms, and analytics technologies. In this leadership position, you will be responsible for designing robust data solutions, guiding engineering teams, and ensuring successful project execution in collaboration with the project manager. Your key responsibilities will include architecting and designing end-to-end data solutions across multi-cloud environments such as AWS, Azure, and GCP. You will lead and mentor a team of data engineers, BI developers, and analysts to deliver on complex project deliverables. Additionally, you will define and enforce best practices in data engineering, data warehousing, and business intelligence. You will design scalable data pipelines using tools like Snowflake, dbt, Apache Spark, and Airflow, and act as a technical liaison with clients, providing strategic recommendations and maintaining strong relationships. To be successful in this role, you should have at least 15 years of experience in IT with a focus on data architecture, engineering, and cloud-based analytics. You must have expertise in multi-cloud environments and cloud-native technologies, along with deep knowledge of Snowflake, Data Warehousing, ETL/ELT pipelines, and BI platforms. Strong leadership and mentoring skills are essential, as well as excellent communication and interpersonal abilities to engage with both technical and non-technical stakeholders. In addition to the required qualifications, certifications in major cloud platforms and experience in enterprise data governance, security, and compliance are preferred. Familiarity with AI/ML pipeline integration would be a plus. We offer a collaborative work environment, opportunities to work with cutting-edge technologies and global clients, competitive salary and benefits, and continuous learning and professional development opportunities. Join us in driving innovation and excellence in data architecture and analytics.,

As a leading AIML Company, KiE Square specializes in providing advanced Data Science and Data engineering solutions to clients, driving their Business Intelligence Transformation. We are currently seeking individuals to join our Core Team of Data Scientists, Data Engineers, and AIML Developers. We are looking for dedicated professionals who possess a sharp analytical mindset, have successfully delivered numerous high-value projects, are adept at handling large datasets, and have a proven track record of building Predictive Models with a strong sense of accountability. Key Role Areas: - Lead functional design and configuration for D365 F&O Finance implementations. - Gather and analyze business requirements to translate them into functional specifications. - Collaborate with technical teams to ensure seamless integration and customization. - Conduct workshops, training sessions, and User Acceptance Testing (UAT) with stakeholders. - Provide support for future cloud migration planning and readiness. Key Qualifications: - 5-8 years of experience in D365 F&O. - Minimum of 4-5 end-to-end implementations in the Finance domain. - Proficiency in API integrations and mobile app workflows. - Experience in UAT Execution management and familiarity with RSAT. - Excellent communication, documentation, and stakeholder management skills. If you are a dynamic professional with a passion for Data Science, Data engineering, and AIML, we encourage you to apply and become a valuable member of our team at KiE Square.,

As a Looker Platform Developer, you will play a crucial role in our team by transforming data into valuable insights. Your primary responsibility will be to develop and enhance LookML models, dashboards, and workflows on the Looker platform. Collaborating closely with data engineers and analysts, you will ensure that our data is visualized accurately and effectively. Your key responsibilities will include creating LookML models to address business reporting and analytics requirements, constructing Looker dashboards and workflows to provide actionable insights, and implementing best practices for performance optimization, such as caching and data modeling. It will also be essential for you to manage code changes using version control, validate data through Looker's SQL Runner, and engage in collaborative efforts with various teams to comprehend their needs. To qualify for this role, you should possess a Bachelor's degree in Computer Science or a related field, or have equivalent experience. Previous experience as a Looker Platform Developer or in a similar position is highly desirable. Additionally, you must demonstrate strong SQL and data modeling skills, familiarity with version control systems like Git, and excellent problem-solving and communication abilities. Your proficiency in workflows, LookML, SQL Runner, data validation, data modeling, version control, and communication skills will be essential in excelling as a Looker Platform Developer within our team.,

As an Industry 4.0 (I4.0) Analyst at Micron Technology, Inc., you will report to the Smart Manufacturing and Artificial Intelligence organization. The team defines, drives and delivers end to end smart manufacturing solution, integrated across functions of the business. The team will apply industry-leading best methodologies in automation, AI and machine learning to enhance Micron's product development, business and administrative processes across the company. You will work with a team of Data Scientists and Data Engineers, making an important contribution to the design, analysis, and implementation of data science solutions and business improvement ideas. You will also work closely with key customers to ensure positive impact and sustainable results. In this role, you will have the following responsibilities: - Collaborate with Data Engineers & Data Scientists to deliver I4.0 projects that require the coordination and support of resources from global teams - Work closely with procurement category teams to implement I4.0 use cases, find opportunities and support delivery of financial/operational impact in collaboration with category and program management teams - Work with I4.0 solution end-users to define requirements, diagnose, design, and analyze information related to the adoption of I4.0 solutions - Quantify, track, and monitor financial/operational impact of I4.0 solutions to the business - Identify new I4.0 use-cases and standard methodologies across strategic and operational procurement processes - Develop case, including impact validation approach, ROI of potential solutions and prioritize & propose projects for implementation - Implement best-in-class external procurement solutions working closely together with startups and established technology providers - Ability to think critically and break down complex data/processes to identify key levers and applicable solutions Qualifications: - At least 3-5 years of work experience in Procurement or similar operations functions - Familiarity with procurement processes, systems, and solutions preferably in the semiconductor industry - Excellent interpersonal skills with demonstrable ability to effectively lead and present to small and large groups - Proven ability to work multi-functionally with peers, senior and mid-level management - Peer leadership and relationship management skills - Strong analytical and problem-solving skills - Highly organized and ability to remain flexible to the changing business needs Good to have: SQL queries, database, Tableau dashboarding experience Micron Technology, Inc. is an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron and Crucial brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_in@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.,

As a Data Architect in our organization, you will play a crucial role in defining the data architecture for key domains within the Data Products Portfolio. Your responsibilities will include evaluating data-related tools and technologies, recommending implementation patterns, and standard methodologies to ensure our Data ecosystem remains modern. Collaborating with Enterprise Data Architects, you will establish and adhere to enterprise standards while conducting PoCs to ensure their implementation. Your expertise will be instrumental in providing technical guidance and mentorship to Data Engineers and Data Analysts, developing and maintaining processes, standards, policies, guidelines, and governance to ensure consistency across the company. You will create and maintain conceptual/logical data models, work with business and IT teams to understand data requirements, and maintain a data dictionary with table and column definitions. Additionally, you will review data models with technical and business audiences and lead the design/build of new models to deliver financial results efficiently to senior management. This role is primarily technical, requiring you to function as an individual contributor (80%) while also demonstrating leadership capabilities (20%). Your key responsibilities include designing, documenting, and training the team on overall processes and process flows for Data architecture, resolving technical challenges in critical situations, developing relationships with external stakeholders, reviewing work from other tech team members, and implementing Data Architecture and Data security policies aligned with governance objectives and regulatory requirements. **Essential Education** - A Bachelor's degree in information science, data management, computer science, or a related field is preferred. **Experience & Qualifications** - Bachelor's degree or equivalent combination of education and experience. - 12+ years of IT experience with a major focus on data warehouse/database related projects. - Expertise in cloud databases like Snowflake/RedShift, data catalog, MDM, etc. - Proficiency in SQL, database procedures, Data Modelling (Conceptual, logical, and Physical), and documenting architecture-related work. - Hands-on experience in data storage, ETL/ELT, data analytics tools and technologies, Data Warehousing design/development, and BI/Analytical systems. - Experience with Cloud Big Data technologies such as AWS, Azure, GCP, and Snowflake. - Experience with Python is preferable. - Strong hands-on experience with data and analytics data architecture, solution design, and engineering. - Experience working with Agile methodologies (Scrum, Kanban) and Meta Scrum with cross-functional teams. - Strong communication and presentation skills for presenting architecture, features, and solution recommendations. You will work closely with global functional portfolio technical leaders, product owners, functional area teams, Global Data portfolio Management & teams, and consulting and internal Data Tribe teams across the organization.,

En tant que Data Product Owner Senior, vous serez responsable de la prparation, de la coordination et du suivi de la ralisation de projets axs sur la data et l'intelligence artificielle. Votre rle consistera assurer la conception et la livraison de solutions innovantes et axes sur les donnes, en collaboration avec les quipes techniques, les quipes mtier et les clients. Vos principales responsabilits incluront le cadrage des besoins en matire de data et IA, la dfinition des spcifications fonctionnelles, le suivi de la conception et du dveloppement, la gestion de projet agile et l'assurance de la qualit et des performances des solutions livres. Vous serez galement le point de contact privilgi des clients pour leurs projets data/IA, garantissant un alignement stratgique entre leurs objectifs et les solutions proposes. Le profil idal pour ce poste comprend un diplme en ingnierie, informatique ou dans un domaine li la data/IA, avec au moins 5 ans d'exprience dans la gestion de projets data ou IA, de prfrence dans un environnement Agile. Vous devriez avoir une expertise en data et IA, une bonne comprhension des outils et concepts associs, ainsi que des comptences en gestion produit et en communication. La matrise de l'anglais professionnel est galement requise pour interagir avec des clients et des quipes internationaux. En rejoignant EY FABERNOVEL, vous aurez l'opportunit de travailler sur des projets d'envergure, de bnficier d'un accompagnement dans votre carrire, d'avantages attrayants tels qu'un accs des offres privilgies, une prise en charge des repas, des possibilits de tltravail et de remboursement des transports, ainsi qu'un environnement de travail stimulant et propice l'apprentissage continu.,

As a S&C GN AI - Insurance AI Consulting Manager at Accenture, you will play a crucial role in driving strategic initiatives, managing business transformations, and utilizing industry expertise to develop value-driven solutions. Your responsibilities will include providing strategic advisory services, conducting market research, and offering data-driven recommendations to enhance business performance. At Accenture, you will have the opportunity to be part of the Accenture Global Network, a unified powerhouse that integrates Strategy & Consulting with Data and Artificial Intelligence. This dynamic environment is central to Accenture's future growth, providing continuous learning and growth opportunities for individuals. You will join a diverse, vibrant global community that constantly pushes the boundaries of business capabilities. Accenture's recognition as the 10th on the 2023 World's Best Workplaces list underscores its commitment to being a great place to work. In this role, you will need to have a complete understanding of machine learning and AI, interact with clients to understand their requirements, and translate them into business frameworks by providing advanced analytics solutions. Additionally, you will manage a team of data scientists and data engineers, provide coaching on team management and advanced analytical concepts, and demonstrate excellent written and verbal communication skills. The ideal candidate for this position will have a Bachelor's degree in economics, mathematics, computer science/engineering, operations research, or related analytics areas, along with an MBA from a top-tier academic institution. You should have a minimum of 7 years of experience in Advanced Analytics, with at least 4 years of experience in the Insurance domain. Experience in dual shore engagement, direct client management, new business development, and leading analytics teams is essential. You should possess superior analytical and problem-solving skills, along with the ability to thrive in a fast-paced, dynamic environment. This role offers the opportunity to work on innovative projects, experience career growth, and gain exposure to leadership opportunities. If you are a motivated individual with a solution-oriented mindset and the ability to create market-leading solutions, we encourage you to apply for this exciting position at Accenture.,

As the COE Solution Development Lead at Teradata, you will be a key thought leader responsible for overseeing the detailed design, development, and maintenance of complex data and analytic solutions. Your role will involve utilizing strong technical and project management skills, as well as team building and mentoring capabilities. You will need to have a deep understanding of Teradata's Solutions Strategy, Technology, Data Architecture, and the partner engagement model. Reporting directly to Teradata's Head of Solution COE, you will play a crucial role in leading a team that develops scalable, efficient, and innovative data and analytics solutions to address complex business problems. Your key responsibilities will include leading the end-to-end process of solution development, designing comprehensive solution architectures, ensuring the flexibility for integration of various data sources and platforms, implementing best practices in data analytics solutions, collaborating with senior leadership, and mentoring a team of professionals to foster a culture of innovation and continuous learning. Additionally, you will work towards delivering solutions on time and within budget, facilitating knowledge sharing across teams, and ensuring that data solutions are scalable, secure, and aligned with the organization's overall technological roadmap. You will collaborate with the COE Solutions lead to transform conceptual solutions into detailed designs and lead a team of Data scientists, Solution engineers, Data engineers, and Software engineers. Furthermore, you will work closely with product development, legal, IT, and business teams to ensure seamless integration of data analytics solutions and the protection of related IP. To qualify for this role, you should have a Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, with a preference for an MS or MBA. You should also possess over 15 years of experience in IT, with at least 10 years in data & analytics solution development and 4+ years in a leadership or senior management position. Along with a proven track record in developing data-driven solutions, you should have experience working with cross-functional teams and a strong understanding of emerging trends in data analytics technologies. We believe you will thrive at Teradata due to our people-first culture, flexible work model, focus on well-being, and commitment to Diversity, Equity, and Inclusion. If you are a collaborative, analytical, and innovative professional with excellent communication skills and a passion for data analytics, we invite you to join us in solving business challenges and driving enterprise analytics forward.,

Join us as a Machine Learning/Artificial Intelligence Engineer, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as a Machine Learning/Artificial Intelligence Engineer, you should have experience with: - Good years of experience in IT with a background in Development, Machine Learning, and/or Data analysis. - Hands-on experience of NLP/AI/ML tools & technologies GPT, BERT, or other language models. - Experience in building GenAI applications, RAG-based architectures. - Model Development: Research, design, implement, and optimize machine learning models for specific use cases such as predictive analytics, NLP, computer vision, and recommender systems. - Data Preparation: Collect, preprocess, and analyze large datasets to extract meaningful insights and ensure data quality for model training. - Deployment: Build and deploy AI/ML solutions into production environments using appropriate tools and frameworks. - Knowledge of one of the cloud platforms is a must: AWS/AZURE. - Collaboration: Work closely with product managers, data engineers, and software developers to integrate AI capabilities into products and ensure alignment with business objectives. - Performance Monitoring: Evaluate and monitor model performance and accuracy post-deployment, iterating to address challenges and refine models as needed. - Strong Affinity to stay informed on the latest trends, tools, and research in AI and machine learning space. - Support and contribute to data collection efforts, as needed. - Verify data quality to ensure accurate analysis and reporting. - Help identify the business data needed to produce the most useful insights and future analytics. - Utilize data to make actionable recommendations at all levels. - Monitor data management processes to ensure data quality and consistency. - Monitor system performance, data integrity, and usage metrics. - Contribute to data dictionary, standards, training, and ongoing updates. Some other highly valued skills may include: - Web service development experience using REST services/APIs, JSON, XML, IVRs, Jenkins, other Cloud Platforms. - Experience in setting up DevOps pipelines. You may be assessed on the key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology, as well as job-specific technical skills. This role is based in Pune. Purpose of the role: To design, develop, and improve software, utilizing various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities: - Development and delivery of high-quality software solutions by using industry-aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. - Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. - Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. - Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. - Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. - Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations: - To advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness. Collaborate closely with other functions/business divisions. - Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives, and determination of reward outcomes. - If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviors to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviors are: L Listen and be authentic, E Energize and inspire, A Align across the enterprise, D Develop others. - OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialization to complete assignments. They will identify new directions for assignments and/or projects, identifying a combination of cross-functional methodologies or practices to meet required outcomes. - Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. - Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. - Take ownership of managing risk and strengthening controls in relation to the work done. - Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organization sub-function. - Collaborate with other areas of work, for business-aligned support areas to keep up to speed with business activity and the business strategy. - Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practices (in other areas, teams, companies, etc.) to solve problems creatively and effectively. - Communicate complex information. "Complex" information could include sensitive information or information that is difficult to communicate because of its content or its audience. - Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.,

You will be part of our esteemed MNC client as a Data Annotation Specialist based in Delhi NCR. As a Data Annotation Specialist, your main responsibility will be to accurately label and annotate data to train machine learning models. You will collaborate closely with data scientists and engineers to ensure the high quality and consistency of data annotation. We are looking for individuals with a strong attention to detail and analytical skills. Experience in data annotation or a related field would be a plus. The ability to work independently, meet deadlines, and excellent communication skills are essential for this role. Joining us means working on cutting-edge projects with a leading MNC. We offer a competitive salary and benefits package along with opportunities for growth and professional development. If you are passionate about data and ready for an immediate start, this role could be the perfect fit for you.,

We are seeking an experienced Project Manager specializing in Data & Analytics to oversee and supervise data-driven projects spanning various business domains. The successful candidate will possess significant expertise in managing projects related to data engineering, business intelligence, and analytics, demonstrating a track record of collaborating effectively with technical and business stakeholders to deliver impactful solutions within specified timeframes and budgets. Key Responsibilities: - Lead the end-to-end project management of data and analytics initiatives. - Define project scope, objectives, deliverables, schedules, and resource allocations. - Collaborate closely with data engineers, data scientists, analysts, and business stakeholders. - Proactively manage project risks, issues, and dependencies. - Ensure quality assurance, timely reporting, and documentation throughout the project life cycle. - Provide regular updates on project status, milestones, and issues to leadership and stakeholders. - Facilitate Agile/Scrum ceremonies and ensure the timely delivery of sprint objectives. - Coordinate activities across cross-functional teams to align with business goals. - Monitor key performance indicators (KPIs), return on investment (ROI), and the business impact of analytics solutions. Required Skills & Qualifications: - Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. Possession of PMP/PRINCE2 certification is advantageous. - Minimum of 6 years of overall experience, with at least 3 years in the management of data analytics or data engineering projects. - Solid understanding of AI, data warehousing, ETL pipelines, data visualization, and analytics platforms. - Hands-on experience with tools and technologies such as SQL, Power BI/Tableau, Python/R (preferable), and cloud data platforms (AWS/GCP/Azure). - Proficient in project management practices encompassing planning, budgeting, and stakeholder engagement.,

You will be working as a Data Annotation Specialist for our esteemed MNC client based in the Delhi NCR region. In this full-time role, you will be responsible for accurately labeling and annotating data to facilitate the training of machine learning models. Your collaboration with data scientists and engineers will be crucial in ensuring the high quality of the data. It will be your responsibility to maintain consistency and quality in data annotation processes. To excel in this role, you must possess strong attention to detail and analytical skills. Previous experience in data annotation or a related field will be advantageous. You should be able to work independently, meet deadlines, and communicate effectively with team members. By joining our team, you will have the opportunity to work on cutting-edge projects with a leading MNC. We offer a competitive salary and benefits package, along with ample opportunities for professional growth and development. Join us now and be a part of our exciting journey!,

We are seeking an IT Recruiter to manage end-to-end hiring for technical roles. Responsibilities include sourcing, screening, and coordinating interviews to attract top IT talent.

Roles Responsibilities: Lead and manage the enterprise data operations team, responsible for data ingestion, processing, validation, quality control, and publishing to various downstream systems. Define and implement standard operating procedures for data lifecycle management, ensuring accuracy, completeness, and integrity of critical data assets. Oversee and continuously improve daily operational workflows, including scheduling, monitoring, and troubleshooting data jobs across cloud and on-premise environments. Establish and track key data operations metrics (SLAs, throughput, latency, data quality, incident resolution) and drive continuous improvements. Partner with data engineering and platform teams to optimize pipelines, support new data integrations, and ensure scalability and resilience of operational data flows. Collaborate with data governance, compliance, and security teams to maintain regulatory compliance, data privacy, and access controls. Serve as the primary escalation point for data incidents and outages, ensuring rapid response and root cause analysis. Build strong relationships with business and analytics teams to understand data consumption patterns, prioritize operational needs, and align with business objectives. Drive adoption of best practices for documentation, metadata, lineage, and change management across data operations processes. Mentor and develop a high-performing team of data operations analysts and leads. Functional Skills: Must-Have Skills: Experience managing a team of data engineers in biotech/pharma domain companies. Experience in designing and maintaining data pipelines and analytics solutions that extract, transform, and load data from multiple source systems. Demonstrated hands-on experience with cloud platforms (AWS) and the ability to architect cost-effective and scalable data solutions. Experience managing data workflows in cloud environments such as AWS, Azure, or GCP. Strong problem-solving skills with the ability to analyze complex data flow issues and implement sustainable solutions. Working knowledge of SQL, Python, or scripting languages for process monitoring and automation. Experience collaborating with data engineering, analytics, IT operations, and business teams in a matrixed organization. Familiarity with data governance, metadata management, access control, and regulatory requirements (e. g. , GDPR, HIPAA, SOX). Excellent leadership, communication, and stakeholder engagement skills. Well versed with full stack development DataOps automation, logging frameworks, and pipeline orchestration tools. Strong analytical and problem-solving skills to address complex data challenges. Effective communication and interpersonal skills to collaborate with cross-functional teams. Good-to-Have Skills: Data Engineering Management experience in Biotech/Life Sciences/Pharma Experience using graph databases such as Stardog or Marklogic or Neo4J or Allegrograph, etc. Education and Professional Certifications Any Degree and 9-13 years of experience AWS Certified Data Engineer preferred Databricks Certificate preferred Scaled Agile SAFe certification preferred Soft Skills: Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. .

1.JD:-Cloud AI Architect *Azure Expert *Intergration *Python *C# *Networking *Cybersecurity 2.JD:- AI Developer *Azure AI Resources *Promt *Engneering *Databricks *Datablake 3.JD:- Data Engineers *Python *Big Data *Data Pipelines *Intergrations 4.JD: - Full Stack Developer *React *.Net *NodeJS 5.JD: - Data Scientist Send your resume to veena.g_c@sandvik.com

Responsible to manage the team of Data Scientists, Data Engineers, Data Governance Specialists, and Data Analyst Coordinate the execution of analytics and digital intelligence initiatives as scoped and prioritized Required Candidate profile Excellent in Communication Team Leadership and Development Proficiency in tools such as SQL, Python, Power BI/Tableau, Jira, Confluence, and Git

Key Responsibilities: Design, develop, and maintain enterprise-level BI dashboards and reports. Translate business requirements into technical specifications and BI solutions. Collaborate with cross-functional teams including Data Engineers, Analysts, and Business Stakeholders. Ensure high data quality, accuracy, and availability across all reporting tools. Optimize and automate reporting processes and data workflows. Required Skills: Strong expertise in BI tools such as Tableau , Power BI , Looker , or similar. Hands-on experience with SQL and data modeling for large datasets. Solid understanding of data warehousing concepts and ETL pipelines. Experience with scripting in Python or similar languages is a plus. Strong problem-solving skills and business acumen.