1766 Data Engineering Jobs - Page 39

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will collaborate with teams to ensure successful project delivery and contribute to key decisions. Work on client projects to deliver AWS, PySpark, Databricks based Data engineering & Analytics solutions. Build and operate very large data warehouses or data lakes. ETL optimization, designing, coding, & tuning big data processes using Apache Spark. Build data pipelines & applications to stream and process datasets at low latencies. Show efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data. Technical Experience: Minimum of 5 years of experience in Databricks engineering solutions on AWS Cloud platforms using PySpark, Databricks SQL, Data pipelines using Delta Lake. Minimum of 5 years of experience years of experience in ETL, Big Data/Hadoop and data warehouse architecture & delivery. Minimum of 2 years of experience years in real time streaming using Kafka/Kinesis Minimum 4 year of Experience in one or more programming languages Python, Java, Scala. Experience using airflow for the data pipelines in min 1 project. 1 years of experience developing CICD pipelines using GIT, Jenkins, Docker, Kubernetes, Shell Scripting, Terraform Professional Attributes: Ready to work in B Shift (12 PM – 10 PM) A Client facing skills:solid experience working in client facing environments, to be able to build trusted relationships with client stakeholders. Good critical thinking and problem-solving abilities Health care knowledge Good Communication Skills Educational Qualification:Bachelor of Engineering / Bachelor of Technology Additional Information: The candidate should have a minimum of 12 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. A Client facing skills:solid experience working in client facing environments, to be able to build trusted relationships with client stakeholders. Good critical thinking and problem-solving abilities Health care knowledge Good Communication Skills Qualification 15 years full time education

Public Services Industry Strategist Join our team in Strategy for an exciting career opportunity to work on the Industry Strategy agenda of our most strategic clients across the globe! Practice: Industry Strategy, Global Network (GN) Areas of Work: Strategy experience in Public Services Industry " Operating Model and Organization Design, Strategic Roadmap Design, Citizen Experience, Business Case Development (incl Financial Modelling), Transformation office, Sustainability, Digital Strategy, Data Strategy, Gen AI, Cloud strategy, Cost Optimization strategy Domain:Public Services " Social Services, Education, Global Critical Infrastructure Services, Revenue, Post & Parcel Level: Consultant Location: Gurgaon, Mumbai, Bengaluru, Chennai, Kolkata, Hyderabad & Pune Years of Exp: 4-7 years of strategy experience post MBA from a Tier 1 institute Explore an Exciting Career at Accenture Do you believe in creating an impact? Are you a problem solver who enjoys working on transformative strategies for global clients? Are you passionate about being part of an inclusive, diverse, and collaborative culture? Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Strategy. The Practice- A Brief Sketch: The GNStrategy Industry Group is a part of Accenture Strategy and focuses on the CXOs most strategic priorities. We help clients with strategies that are at the intersection of business and technology, drive value and impact, shape new businesses & design operating models for the future. As a part of this high performing team, you will: Apply advanced corporate finance to drive value using financial levers, value case shaping, and feasibility studies to evaluate new business opportunities Analyze competitive benchmarking to advise C-suite on 360 value opportunities, scenario planning to solve complex C-suite questions, lead & enable strategic conversations Identify strategic cost take-out opportunities, drive business transformation, and suggest value-based decisions based on insights from data. Apply advanced data analyses to unlock client value aligned with clients business strategy Build future focused PoV and develop strategic ecosystem partners. Build Client Strategy definition leveraging Disruptive technology solutions, like Data & AI, including Gen AI, and Cloud Build relationships with C-suite executives and be a trusted advisor enabling clients to realize value of human-centered change Create Thought Leadership in Industry/Functional areas, Reinvention Agendas, Solution tablets and assets for value definition, and use it, along with your understanding of Industry value chain and macroeconomic analyses, to inform clients strategy Partner with CXOs to architect future proof operating models embracing Future of Work, Workforce and Workplace powered by transformational technology, ecosystems and analytics Work with our ecosystem partners, help clients reach their sustainability goals through digital transformation Prepare and deliver presentations to clients to communicate strategic plans and recommendations on PS domains such as Digital Citizen, Public Infrastructure, Smart Buildings, Net Zero Monitor industry trends and keep clients informed of potential opportunities and threats The candidate will be required to have exposure to core-strategy projects in Public Services domain with a focus on one of the sub-industries within the Public Service (mentioned below), specifically: Public Service Experience: The candidate must have strategy experience in at least one of the below Public Service sub-industries: Social Services + (Employment, Pensions, Education, Child welfare, Government as a platform, Digital Citizen Services) Education Global Critical Infrastructure Services (Urban & city planning, Smart Cities, High Performing City Operating Model) Admin (Citizen experience, Federal Funds Strategy, Workforce Strategy, Intelligent Back Office, Revenue industry strategy, Post & Parcel) Strategy Skills and Mindsets Expected: A Strategic Mindset to shape innovative, fact-based strategies and operating models Communication and Presentation Skills to hold C-Suite influential dialogues, narratives, conversations, and share ideas Ability to solve problems in unstructured scenarios, to decode and solve complex and unstructured business questions Analytical and outcome-driven approach to perform data analyses & generate insights, and application of these insights for strategic insights and outcomes Qualifications Value Driven Business Acumen to drive actionable outcomes for clients with the latest industry trends, innovations and disruptions, metrics and value drivers Financial Acumen and Value Creation to develop relevant financial models to back up a business case Articulation of strategic and future vision Ability to identify Technology Disruptions in the Public Services industry What's in it for you? An opportunity to work on transformative projects with key G20OO clients and CxOs Potential to co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities Opportunity to thrive in a culture that is committed to accelerate equality for all Engage in boundaryless collaboration across the entire organization About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions underpinned by the world's largest delivery network Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With more than 732,000 p eople serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at About Accenture Strategy & Consulting: Accenture Strategy shapes our clients' future, combining deep business insight with the understanding of how technology will impact industry and business models. Our focus on issues such as digital disruption, redefining competitiveness, operating and business models as well as the workforce of the future helps our clients find future value and growth in a digital world. Today, digital is changing the way organizations engage with their employees, business partners, customers and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategy's services include those provided by our Global Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our Global Network teams complement our in-country teams to deliver cutting-edge expertise and measurable value to clients all around the world. For more information visit en /careers/local/capability-network- careers Accenture Global Network | AGcenture in One Word At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, come and be a part of our team .

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Tableau Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer in the Data Engineering team, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will play a crucial role in developing efficient and scalable solutions to process and analyze data. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Collaborate with cross-functional teams to gather and understand business requirements. Design and develop applications using Tableau to visualize and analyze data. Build and maintain data pipelines to ensure efficient data processing and storage. Perform data quality checks and implement data cleaning and transformation techniques. Optimize application performance and troubleshoot any issues that arise. Stay up-to-date with industry trends and best practices in application development and data engineering. Provide technical guidance and mentor junior team members. Professional & Technical Skills: Must To Have Skills:Proficiency in Tableau. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on experience implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 3 years of experience in Tableau. This position is based at our Hyderabad office. A 15 years full time education is required. Qualifications 15 years full time education

Job Title :Industry & Function AI Data Engineer + S&C GN Management Level :09 - Consultant Location :Primary - Bengaluru, Secondary - Gurugram Must-Have Skills :Data Engineering expertise, Cloud platforms:AWS, Azure, GCP, Proficiency in Python, SQL, PySpark and ETL frameworks Good-to-Have Skills :LLM Architecture, Containerization tools:Docker, Kubernetes, Real-time data processing tools:Kafka, Flink, Certifications like AWS Certified Data Analytics Specialty, Google Professional Data Engineer,Snowflake,DBT,etc. Job Summary : As a Data Engineer, you will play a critical role in designing, implementing, and optimizing data infrastructure to power analytics, machine learning, and enterprise decision-making. Your work will ensure high-quality, reliable data is accessible for actionable insights. This involves leveraging technical expertise, collaborating with stakeholders, and staying updated with the latest tools and technologies to deliver scalable and efficient data solutions. Roles & Responsibilities: Build and Maintain Data Infrastructure:Design, implement, and optimize scalable data pipelines and systems for seamless ingestion, transformation, and storage of data. Collaborate with Stakeholders:Work closely with business teams, data analysts, and data scientists to understand data requirements and deliver actionable solutions. Leverage Tools and Technologies:Utilize Python, SQL, PySpark, and ETL frameworks to manage large datasets efficiently. Cloud Integration:Develop secure, scalable, and cost-efficient solutions using cloud platforms such as Azure, AWS, and GCP. Ensure Data Quality:Focus on data reliability, consistency, and quality using automation and monitoring techniques. Document and Share Best Practices:Create detailed documentation, share best practices, and mentor team members to promote a strong data culture. Continuous Learning:Stay updated with the latest tools and technologies in data engineering through professional development opportunities. Professional & Technical Skills: Strong proficiency in programming languages such as Python, SQL, and PySpark Experience with cloud platforms (AWS, Azure, GCP) and their data services Familiarity with ETL frameworks and data pipeline design Strong knowledge of traditional statistical methods, basic machine learning techniques. Knowledge of containerization tools (Docker, Kubernetes) Knowing LLM, RAG & Agentic AI architecture Certification in Data Science or related fields (e.g., AWS Certified Data Analytics Specialty, Google Professional Data Engineer) Additional Information: The ideal candidate has a robust educational background in data engineering or a related field and a proven track record of building scalable, high-quality data solutions in the Consumer Goods sector. This position offers opportunities to design and implement cutting-edge data systems that drive business transformation, collaborate with global teams to solve complex data challenges and deliver measurable business outcomes and enhance your expertise by working on innovative projects utilizing the latest technologies in cloud, data engineering, and AI. About Our Company | Qualifications Experience :Minimum 3-7 years in data engineering or related fields, with a focus on the Consumer Goods Industry Educational Qualification :Bachelors or Masters degree in Computer Science, Information Systems, Engineering, or a related field

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Informatica Data Quality Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Be involved in the end-to-end data management process. Roles & Responsibilities: Gather, process, and analyze data to generate meaningful insights that drive strategic decision-making. Design and implement efficient data collection systems to enhance accuracy and optimize workflow. Utilize statistical techniques to interpret data and create detailed reports that support business goals. Work closely with cross-functional teams to solve business challenges through data-driven solutions. Strong proficiency in SQL/SOQL for data querying and analysis. Professional & Technical Skills: Must To Have Skills: Proficiency in Informatica Data Quality. Strong understanding of data modeling and data architecture. Experience with SQL and database management systems. Hands-on experience with data integration tools. Knowledge of data warehousing concepts. Additional Information: The candidate should have a minimum of 5 years of experience in Informatica Data Quality. This position is based at our Hyderabad office. A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Talend ETL Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Be involved in the end-to-end data management process. Roles & Responsibilities: Expected to be an SME. Collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Lead the design and implementation of data solutions. Optimize and troubleshoot ETL processes. Conduct data analysis and provide insights for decision-making. Professional & Technical Skills: Must To Have Skills: Proficiency in Talend ETL. Strong understanding of data modeling and database design. Experience with data integration and data warehousing concepts. Hands-on experience with SQL and scripting languages. Knowledge of cloud platforms and big data technologies. Additional Information: The candidate should have a minimum of 5 years of experience in Talend ETL. This position is based at our Hyderabad office. A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Cloud Services Engineer Project Role Description : Act as liaison between the client and Accenture operations teams for support and escalations. Communicate service delivery health to all stakeholders and explain any performance issues or risks. Ensure Cloud orchestration and automation capability is operating based on target SLAs with minimal downtime. Hold performance meetings to share performance and consumption data and trends. Must have skills : Managed File Transfer Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Services Engineer, you will act as a liaison between the client and Accenture operations teams for support and escalations. You will communicate service delivery health to all stakeholders and explain any performance issues or risks. Ensure Cloud orchestration and automation capability is operating based on target SLAs with minimal downtime. Hold performance meetings to share performance and consumption data and trends. Roles & Responsibilities: Expected to be an SME. Collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Ensure effective communication between client and operations teams. Analyze service delivery health and address performance issues. Conduct performance meetings to share data and trends. Professional & Technical Skills: Must To Have Skills:Proficiency in Managed File Transfer. Strong understanding of cloud orchestration and automation. Experience in SLA management and performance analysis. Knowledge of IT service delivery and escalation processes. Additional Information: The candidate should have a minimum of 5 years of experience in Managed File Transfer. This position is based at our Pune office. A 15 years full time education is required. Qualifications 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Talend ETL Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer Lead, you will design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. A typical day involves working on data solutions and ETL processes. Roles & Responsibilities: Expected to be an SME. Collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Expected to provide solutions to problems that apply across multiple teams. Lead data architecture design. Implement data integration solutions. Optimize ETL processes. Professional & Technical Skills: Must To Have Skills: Proficiency in Talend ETL. Strong understanding of data modeling. Experience with SQL and database management. Knowledge of cloud platforms like AWS or Azure. Hands-on experience with data warehousing. Good To Have Skills: Experience with data visualization tools. Additional Information: The candidate should have a minimum of 12 years of experience in Talend ETL. This position is based at our Hyderabad office. A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Talend ETL Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. Roles & Responsibilities: Expected to be a SME with deep knowledge and experience. Engage with multiple teams and contribute on key decisions. Expected to provide solutions to problems that apply across multiple teams. Create data pipelines to extract, transform, and load data across systems. Implement ETL processes to migrate and deploy data across systems. Ensure data quality and integrity throughout the data lifecycle. Professional & Technical Skills: Required Skill:Expert proficiency in Talend Big Data. Strong understanding of data engineering principles and best practices. Experience with data integration and data warehousing concepts. Experience with data migration and deployment. Proficiency in SQL and database management. Knowledge of data modeling and optimization techniques. Additional Information: The candidate should have minimum 5 years of experience in Talend Big Data. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : SAP HCM On Premise ABAP Good to have skills : SAP HCM Organizational Management Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Be involved in the end-to-end data management process. Roles & Responsibilities: Expected to be an SME. Collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Develop and maintain data pipelines. Ensure data quality and integrity. Implement ETL processes for data migration and deployment. Professional & Technical Skills: Must To Have Skills:Proficiency in SAP HCM On Premise ABAP. Good To Have Skills:Experience with SAP HCM Organizational Management. Strong understanding of data management principles. Experience in designing and implementing data solutions. Proficient in ETL processes and data migration techniques. Additional Information: The candidate should have a minimum of 5 years of experience in SAP HCM On Premise ABAP. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualifications 15 years full time education

Project Role :Data Engineer Project Role Description :Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills :SAP HCM On Premise ABAP Good to have skills :SAP HCM Organizational Management Minimum 5 year(s) of experience is required Educational Qualification :15 years full time education Summary:As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. You will play a crucial role in managing and analyzing data to support business decisions and drive data-driven insights. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines to extract, transform, and load data across systems. Ensure data quality and integrity throughout the data lifecycle. Implement ETL processes to migrate and deploy data across systems. Professional & Technical Skills: Must To Have Skills:Proficiency in SAP HCM On Premise ABAP. Good To Have Skills:Experience with SAP HCM Organizational Management. Strong understanding of data engineering principles and best practices. Experience with data modeling and database design. Hands-on experience with ETL tools and processes. Proficient in programming languages such as ABAP, SQL, and Python. Additional Information: The candidate should have a minimum of 5 years of experience in SAP HCM On Premise ABAP. A 15 years full-time education is required. Qualifications 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : SAP HCM On Premise ABAP Good to have skills : SAP HCM Organizational Management Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. You will play a crucial role in managing and analyzing data to support business decisions and drive data-driven insights. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines to extract, transform, and load data across systems. Ensure data quality and integrity throughout the data lifecycle. Implement ETL processes to migrate and deploy data across systems. Professional & Technical Skills: Must To Have Skills:Proficiency in SAP HCM On Premise ABAP. Good To Have Skills:Experience with SAP HCM Organizational Management. Strong understanding of data engineering principles and best practices. Experience with data modeling and database design. Hands-on experience with ETL tools and processes. Proficient in programming languages such as ABAP, SQL, and Python. Additional Information: The candidate should have a minimum of 5 years of experience in SAP HCM On Premise ABAP. A 15 years full-time education is required. Qualifications 15 years full time education

Job Role: Data Scientist Experience: 5-8 years Location: Bangalore, India Employment Type: Full Time, Hybrid. About Cognizant Join a rapidly growing consulting and IT services Fortune 500 company with around 350,000 employees worldwide, a very flexible international business, customers that are leaders in their respective sectors, and a high level of commitment. Cognizant Advanced AI Lab / Neuro AI team The Cognizant AI Labs were created to pioneer scientific innovation and bridge the gap to commercial applications. The AI Labs collaborate with institutions, academia and technology partners to develop groundbreaking AI solutions responsibly. The Lab’s mission is to maximize human potential with decision AI, a combination of multi-agent architectures, generative AI, deep learning, evolutionary AI and trustworthy techniques to create sophisticated decision-making systems. Through scientific publications, open-source software, AI for Good projects and the Cognizant Neuro® AI decisioning platform and Multi-Agent Accelerator, the AI Labs support our goal of improving everyday life. Your role: As a data scientist and software engineer you will develop the Neuro AI platform and use it on a variety of projects related to optimizing data-driven decision making. You are a data scientist, Python developer and AI researcher with knowledge in multiple technologies; you are driven, curious and passionate about your work; you are innovative, creative and focused on excellence; and you want to be part of an ego-free work environment where we value honest, healthy interactions and collaboration. Key responsibilities: Design, implement and deploy software applications that analyze datasets, train predictive and prescriptive models, assess uncertainties and interactively present results to end users Monitor and analyze the performance of software applications and infrastructure Collaborate with cross-functional teams to identify and prioritize business requirements Research, design and implement novel AI systems to support decision-making processes Work with the research team to publish papers and patents Communicate research findings to both technical and non-technical audiences Provide guidance on our Neuro AI offering and AI best practices Work in a highly collaborative, fast-paced environment with your peers on the Neuro AI platform and research teams Your profile: PhD or Master’s in Data Science, Computer Science, Statistics, Mathematics, Engineering or related field 5-8 years of experience in artificial intelligence, machine learning, data science and software engineering Strong programming skills in Python with Pandas, Numpy, TensorFlow, PyTorch, Jupyter Notebook, GitHub Experience with handling large datasets, data engineering, statistical analysis, and building predictive models Experience developing AI software platforms and tools Knowledge of data visualization tools (e.g. Matplotlib, Tableau, ) Knowledge of Generative AI and LLMs is a plus Utilize cloud platforms for data processing and analytics, optimize cloud-based solutions for performance, cost, and scalability Strong problem-solving and analytical skills Strong attention to detail and ability to work independently Ability to leverage design thinking, business process optimization, and stakeholder management skills

We are hiring a Senior Data Engineer for a 6-month remote contract position. The ideal candidate is highly skilled in building scalable data pipelines and working within the Azure cloud ecosystem, especially Databricks, ADF, and PySpark. You'll work closely with cross-functional teams to deliver enterprise-level data engineering solutions. #KeyResponsibilities Build scalable ETL pipelines and implement robust data solutions in Azure. Manage and orchestrate workflows using ADF, Databricks, ADLS Gen2, and Key Vaults. Design and maintain secure and efficient data lake architecture. Work with stakeholders to gather data requirements and translate them into technical specs. Implement CI/CD pipelines for seamless data deployment using Azure DevOps. Monitor data quality, performance bottlenecks, and scalability issues. Write clean, organized, reusable PySpark code in an Agile environment. Document pipelines, architectures, and best practices for reuse. #MustHaveSkills Experience: 6+ years in Data Engineering Tech Stack: SQL, Python, PySpark, Spark, Azure Databricks, ADF, ADLS Gen2, Azure DevOps, Key Vaults Core Expertise: Data Warehousing, ETL, Data Pipelines, Data Modelling, Data Governance Agile, SDLC, Containerization (Docker), Clean coding practices #GoodToHaveSkills Event Hubs, Logic Apps Power BI Strong logic building and competitive programming background #ContractDetails Role: Senior Data Engineer Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, India Duration: 6 Months Email to Apply: navaneeta@suzva.com Contact: 9032956160

Overview We’re looking for a Senior AI Engineer to join our AI team, where you’ll design and develop highly scalable, robust systems that drive our AI initiatives and data operations. Success in this role depends on strong software engineering skills, familiarity with large-scale distributed systems, and expertise in AI technologies. Our ideal candidate has a proven ability to build reliable platforms (rather than standalone applications) and to iterate effectively over multiple release cycles. While AI experience isn a required, you should also be enthusiastic about software engineering, and building scalable platforms and cloud services. A significant aspect of the job involves collaborating with cross-functional teams to translate complex requirements into scalable, efficient code, with responsibilities including the implementation and maintenance of software infrastructure for our AI platform. You’ll regularly work alongside AI specialists, domain leads, and other engineering teams. Throughout your work, you’ll apply best practices in software engineering and system architecture. If you’re passionate about delivering high-impact AI solutions in a dynamic environment, this is an exciting opportunity to have a substantial influence on our AI capabilities through your expertise. Responsibilities Design and implement scalable distributed systems Architect solutions that can handle large volumes of data for real-time and batch processing Design and develop efficient AI pipelines with automation and reliability across the platform Integrate agentic workflows and AI agents into data extraction processes, and enable systems to perform multi-step reasoning and tool usage to improve accuracy and efficiency of data extraction. Deploy, monitor, and maintain the LLM-based extraction systems in production, ensuring reliability and scalability. Set up appropriate monitoring, logging, and evaluation metrics to track performance, and perform continual tuning and improvements based on human in the loop feedback. Conduct applied research and experimentation with the latest generative AI models and techniques to enhance extraction capabilities. Prototype new approaches and iterate quickly to integrate successful methods into the production pipeline. Collaborate with cross-functional teams (data engineers, product managers, domain experts) to gather requirements, align AI solutions with business needs. Qualifications 4-5 years of experience in applied AI or machine learning engineering, with a track record of building and deploying AI solutions (especially in NLP). Hands-on experience with using Generative AI models and APIs/frameworks (e.g., OpenAI GPT-4, Google Gemini). Ability to build Agentic AI systems where LLMs interact with tools or perform multi-step workflows. Proficiency in Python (preferred) and experience deploying machine learning models or pipelines at scale. Good understanding of embeddings, LLM models and experience with retrieval-augmented generation (RAG) workflows to incorporate external knowledge into LLM-based systems. Knowledge of LLMOps and cloud services (Azure, GCP, or similar) for deploying and managing AI solutions. Experience with containerization, orchestration, and monitoring of ML models in a production cloud environment. Excellent collaboration and communication skills, with the ability to work effectively in a team, translate complex technical concepts to non-technical stakeholders, and document work clearly. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Essential Skills: Machine Learning & Deep Learning: Solid understanding of ML concepts and hands-on experience with deep learning (especially neural networks and Transformers). Python Programming: Strong Python coding skills with familiarity in frameworks like TensorFlow, PyTorch, or Keras. Natural Language Processing (NLP): Experience with tokenization, embeddings, and language model fine-tuning. Data Engineering: Ability to clean, process, and manage large datasets with a focus on data quality. Math & Statistics: Good knowledge of linear algebra, calculus, probability, and statistics. Preferred Additional Skills: Model Deployment (MLOps): Exposure to deploying models using Docker, APIs, CI/CD, and tools like MLflow or Hugging Face Hub. RAG & LLM Integration: Hands-on with FAISS, LangChain, embedding models, and large language models. Prompt Engineering: Skilled in designing prompts and evaluating AI output quality. System Scalability: Understanding of GPU optimization and AI system performance.

Roles and Responsibilities : Design, develop, test, deploy, and maintain large-scale data pipelines using Python and SQL. Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs. Develop high-quality code that is efficient, scalable, and easy to maintain. Troubleshoot issues related to data processing, storage, and retrieval. Job Requirements : 4-8 years of experience in data engineering or a related field. Strong proficiency in Python programming language. Experience working with relational databases (SQL) for querying and manipulating large datasets.

Roles and Responsibilities The Inside Sales Executive (Lead Generation & Outreach) will play a critical role in fueling Fission Labs & growth by identifying, qualifying, and connecting with potential clients. This role requires exceptional research abilities to locate target companies and decision-makers who align with our ideal client profile. The ideal candidate will leverage their research, crafting persuasive outreach messages, and expertly conveying Fission Labs & value proposition during cold calls. Qualifications Required Essential: Bachelor & degree in business, marketing, communications, or a relevant field. 3-5 years of proven experience in lead generation, sales research, or a related role in a mid-size software development services company. Familiarity with technology-related services (Application development, data engineering, AI-ML-based solutions, QA, etc.) Highly proficient in using various research tools and platforms (LinkedIn, company databases, etc.). Excellent written and verbal communication skills, enabling the creation of persuasive messages. Strong active listening and rapport-building abilities. Self-motivated, proactive, and adaptable. Desired: Experience with a CRM system (HubSpot preferred) A knack for quickly understanding complex technical concepts Compensation and Benefits: Competitive salary and potential commission-based incentives Skills and Experience Required Target Company and Decision-maker Research: Proactively research and identify companies that fit Fission Labs & ideal client profile. Utilize various research channels, tools, and platforms (e.g., LinkedIn, industry databases, company websites) to gather in-depth information about potential clients, including their business needs, challenges, and key decision-makers. Skillfully extract and maintain accurate contact details for relevant personnel within target companies. Persuasive Outreach Message Development: Develop compelling and customized email and cold-calling scripts that articulate the potential value proposition of Fission Labs' services. Align messaging with pain points identified through research to demonstrate an understanding of prospect needs. Continuously refine outreach messages for optimal effectiveness. Targeted Cold Calling and Initial Relationship Building: Initiate contact with potential clients via phone to introduce Fission Labs and explore potential synergies. Tailor cold call conversations based on research findings to highlight Fission Labs & relevant expertise. Qualify leads and nurture relationships with potential clients through effective communication and follow-ups. Collaboration and Reporting: Collaborate closely with the sales team to provide high-quality leads and support further sales efforts. Maintain detailed records and reports on lead generation activities, including outreach, conversations, and outcomes.

Greetings from Sonata Software. We are looking Data Enginerr. The Data Engineer will be responsible for the hands-on development and implementation of robust and efficient data pipelines for modern data platform. This role involves building new ingestion processes, optimizing existing ETL, and ensuring seamless data flow between various internal and external systems. The Data Engineer will work closely with the Data Architect to translate design specifications into working solutions and contribute to the overall data strategy. Key Responsibilities: Implement new ingestion process designs for critical data sources, including core project data sources and other key business systems. Develop and build interface views to support business reporting and analytical needs. Replace existing, inefficient data transformation processes, focusing on efficiency and minimizing impact on other systems. Decouple specific workflow engines and implement export mechanisms to the Datalake. Decouple and integrate external data sources like exchange rates providers to provide a single, consistent source of truth across systems, integrating with enterprise integration platforms. Required Skills and Experience: Strong hands-on experience in developing and implementing ETL/ELT pipelines. Proficiency in data warehousing concepts and practices. Experience with data integration from diverse source systems, including databases, APIs, and flat files. Demonstrated experience with tools and technologies for data ingestion and transformation (e.g., cloud-based data factory services, data virtualization technologies). Knowledge of and practical experience with data integration specifically related to Master Data Management (Grplatforms like Ataccama MDM. Familiarity with financial data and reporting requirements, with an understanding of how data from financial systems would be processed. Experience with API integrations, particularly for consuming data from external sources such as XE.com. Problem-solving skills with a focus on data quality and consistency. Ability to work independently and as part of a team. Regards, Vibha

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Lead MLE Developer at ZS ZS's Scaled AI practice is part of ZS rich and advanced AI ecosystem. We are building next generation AI based analytics products, focused on creatin innovative machine learning, and engineering capabilities. Our team comprises of Data Scientists, ML/Full Stack Engineers, UI Developers, Product/ Program managers and QA testers working together to build products which offers unique analytical solutions to our clients. What You’ll Do Build, Refine and Use ML Engineering platforms and components. Scaling machine learning algorithms to work on massive data sets and strict SLAs. Build and orchestrate model pipelines including feature engineering, inferencing and continuous model training. Implement ML Ops including model KPI measurements, tracking, model drift & model feedback loop. Collaborate with client facing teams to understand business context at a high level and contribute in technical requirement gathering. Implement basic features aligning with technical requirements. Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors. Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews. Write unit tests as well as higher level tests to handle expected edge cases and errors gracefully, as well as happy paths. Uses bug tracking, code review, version control and other tools to organize and deliver work. Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues and dependencies. Consistently contribute in researching & evaluating latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts and creating prototype solutions. What You’ll Bring A master’s or bachelor’s degree in Computer Science or related field from a top university. 5+ years’ hands-on experience in ML development. Good fundamentals of machine learning Strong programming expertise in Python, PySpark/Scala. Expertise in crafting ML Models for high performance and scalability. Experience in implementing feature engineering, inferencing pipelines, and real time model predictions. Experience in ML Ops to measure and track model performance, experience working with MLFlow Experience with Spark or other distributed computing frameworks. Experience in ML platforms like Sage maker, Kubeflow. Experience with pipeline orchestration tools such Airflow. Experience in deploying models to cloud services like AWS, Azure, GCP, Azure ML. Expertise in SQL, SQL DB's. Knowledgeable of core CS concepts such as common data structures and algorithms. Collaborate well with teams with different backgrounds / expertise / functions. Additional Skills Understanding of DevOps, CI / CD, data security, experience in designing on cloud platform; Experience in data engineering in Big Data systems Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Data Science Consultants design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to help clients make better fact-based decisions. What You’ll Do Execute and lead application of numerical optimization techniques on large, unstructured data sets to solve problems Collaborate with engineering teams to deploy optimization based solutions on datasets of large dimensionality to create practical solutions that achieve desired results in a computationally efficient and statistically effective manner; Play a key role in development of data science capabilities for solving problems and offerings that create scale and advance our analytic capabilities Lead conversations with clients and other ZS stakeholders to effectively integrate and communicate analysis findings; Evaluate emerging datasets and technologies and help define our analytic platform; Own development of select assets/accelerators that create scale; Contribute to thought leadership through research and publications; Guide and manage project teams of Associates/Associate Consultants. What You’ll Bring Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent work experience). 6 – 9 years of relevant experience Strong theoretical and applied understanding of linear programming, convex optimization, non- linear programming, and other optimization topics Experience with other data science concepts and algorithms (e.g. supervised / unsupervised learning, reinforcement learning, simulation modeling, recommender systems, etc.); Relevant programming background (e.g. Python/ R); Understanding of relevant tools/platforms (e.g. ML / data engineering tools and platforms); Team management and skill development experience; Agile project planning and project management experience preferred; Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

About the Role We are seeking a highly skilled and experienced Data Architect to join our team. The ideal candidate will have at least 18 years of experience in Data engineering and Analytics and a proven track record of designing and implementing complex data solutions. As a senior principal data architect, you will be expected to design, create, deploy, and manage Blackbaud’s data architecture. This role has considerable technical influence within the Data Platform, Data Engineering teams, and the Data Intelligence Center of Excellence at Blackbaud. This individual acts as an evangelist for proper data strategy with other teams at Blackbaud and assists with the technical direction, specifically with data, of other projects. What you'll do Develop and direct the strategy for all aspects of Blackbaud’s Data and Analytics platforms, products and services Set, communicate and facilitate technical direction more broadly for the AI Center of Excellence and collaboratively beyond the Center of Excellence Design and develop breakthrough products, services or technological advancements in the Data Intelligence space that expand our business Work alongside product management to craft technical solutions to solve customer business problems. Own the technical data governance practices and ensures data sovereignty, privacy, security and regulatory compliance. Continuously challenging the status quo of how things have been done in the past. Build data access strategy to securely democratize data and enable research, modelling, machine learning and artificial intelligence work. Help define the tools and pipeline patterns our engineers and data engineers use to transform data and support our analytics practice Work in a cross-functional team to translate business needs into data architecture solutions. Ensure data solutions are built for performance, scalability, and reliability. Mentor junior data architects and team members. Keep current on technologydistributed computing, big data concepts and architecture. Promote internally how data within Blackbaud can help change the world. What you'll bring 18+ years of experience in data and advanced analytics At least 8 years of experience working on data technologies in Azure/AWS Expertise in SQL and Python Expertise in SQL Server, Azure Data Services, and other Microsoft data technologies. Expertise in Databricks, Microsoft Fabric Strong understanding of data modeling, data warehousing, data lakes, data mesh and data products. Experience with machine learning Excellent communication and leadership skills. Preferred Qualifications Experience working with .Net/Java and Microservice Architecture Stay up to date on everything Blackbaud, follow us on Linkedin, X, Instagram, Facebook and YouTube Blackbaud is a digital-first company which embraces a flexible remote or hybrid work culture. Blackbaud supports hiring and career development for all roles from the location you are in today! Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. BIETC is currently looking for Experienced Support Engineering Data Specialist to join the Maintenance Engineering team to support various Aircraft Maintenance Manuals at Chennai. These positions will focus on supporting the Boeing Commercial (BCA) business organization . A successful candidate will create, change or revise airplane maintenance publications using a variety of automated research tools and authoring systems. They will analyze basic engineering designs and design changes to determine maintenance/repair/retrofit requirements, procedures and instructions. Position Responsibilities The successful candidate will perform the following duties: Locate source data from the applicable files and systems. Perform analysis from either pre-set-up packages or from original source data. Perform production roles as assigned. Follows desktop procedures, publications standards and government/customer specifications for authoring. When required, programs document multiple SGML outputs by applying applicability rules within the structure of the text. Determines proper effectivity and applicability for each authoring job. Verify information and check for discrepancies. Make changes as required. Marks up illustrations and submits using established procedures. Performs a thorough self-check of authored material. Meet production and quality standards. Uses effective communication to work through problems and ensures timely delivery of authoring tasks. Meet assigned schedules and deadlines. Develops solutions to routine technical problems of limited scope. Creates system theory descriptions of operations of limited scope and complexity by analyzing product designs and engineering principles to provide understanding of technical systems and components to ensure product reliability and safety. Develops technical solutions of limited scope and complexity for customers that optimize their operations, resolve emergent needs and regulatory compliance issues. Develops maintenance, repair & retrofit procedures and techniques of limited scope and complexity that guide end-users to change, maintain and restore product into usable condition. Utilizes engineering data knowledge, maintenance operational knowledge and pertinent regulations that guarantee product reliability, safety and efficiency. Participates in the implementation of lean principles and technologies to support business unit initiatives and execution. Other duties as assigned by Manager. Basic Qualifications (Required Skills/Experience) Bachelor’s degree or higher is required as a BASIC QUALIFICATION. Possess an understanding of engineering job practices, techniques and standards. Strong PC skills with high proficiency in Windows and Microsoft Office products functionality. Ability to prioritize maximum productivity for multiple projects. Ability to define and document processes as required. Ability to identify potential issues, analyze and recommend improvements and alternate solutions. Good verbal and written communication skills. Proven reasoning, analytical abilities and mechanical aptitude. Preferred Qualifications (Desired Skills/Experience) Bachelor's degree or AME (Aircraft Maintenance Engineering) degree, preferably in Mechanical, Electrical, or Aeronautical Engineering Typical Education & Experience A Bachelor’s or an AME (Aircraft Maintenance Engineering) degree with Minimum 8 -12 years of experience / Master’s degree with 7 or more years' experience in Aerospace/Mechanical/Electrical and Electronics. Relocation This position offers relocation based on candidate eligibility. Applications for this position will be accepted until Jun. 07, 2025 Export Control This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited toconducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. BIETC is currently looking for Associate Support Engineering Data Specialist to join the Maintenance Engineering team to support various Aircraft Maintenance Manuals at Chennai. These positions will focus on supporting the Boeing Commercial (BCA) business organization . A successful candidate will create, change or revise airplane maintenance publications using a variety of automated research tools and authoring systems. They will analyze basic engineering designs and design changes to determine maintenance/repair/retrofit requirements, procedures and instructions. Position Responsibilities The successful candidate will perform the following duties: Locate source data from the applicable files and systems. Perform analysis from either pre-set-up packages or from original source data. Perform production roles as assigned. Follows desktop procedures, publications standards and government/customer specifications for authoring. When required, programs document multiple SGML outputs by applying applicability rules within the structure of the text. Determines proper effectiveness and applicability for each authoring job. Verify information and check for discrepancies. Make changes as required. Marks up illustrations and submits using established procedures. Performs a thorough self-check of authored material. Meet production and quality standards. Uses effective communication to work through problems and ensures timely delivery of authoring tasks. Meet assigned schedules and deadlines. Develops solutions to routine technical problems of limited scope. Develops maintenance, repair & retrofit procedures and techniques of limited scope and complexity that guide end-users to change, maintain and restore product into usable condition. Utilizes engineering data knowledge, maintenance operational knowledge and pertinent regulations that guarantee product reliability, safety and efficiency. Basic Qualifications (Required Skills/Experience) Bachelor’s degree or higher is required as a BASIC QUALIFICATION, preferably in Mechanical, Electrical, or Aeronautical Engineering. Possess an understanding of engineering job practices, techniques and standards. Strong PC skills with high proficiency in Windows and Microsoft Office products functionality. Ability to prioritize maximum productivity for multiple projects. Ability to define and document processes as required. Ability to identify potential issues, analyze and recommend improvements and alternate solutions. Good verbal and written communication skills. Proven reasoning, analytical abilities and mechanical aptitude Preferred Qualifications (Desired Skills/Experience): Bachelor’s degree or higher preferably in Mechanical, Electrical, or Aeronautical Engineering. Typical Education & Experience Bachelor's or equivalent with Minimum of 5 – 8 years of experience / Master’s degree with 4 to 7 or more years' experience in Aerospace/Mechanical/Electrical and Electronics. Relocation This position offers relocation within in India. Applications for this position will be accepted until Jun. 07, 2025 Export Control This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited toconducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. BIETC is currently looking for Associate Support Engineering Data Specialist to join the Maintenance Engineering team to support various Aircraft Maintenance Manuals at Chennai. These positions will focus on supporting the Boeing Commercial (BCA) business organization . A successful candidate will create, change or revise airplane maintenance publications using a variety of automated research tools and authoring systems. They will analyze basic engineering designs and design changes to determine maintenance/repair/retrofit requirements, procedures and instructions. Position Responsibilities The successful candidate will perform the following duties: Locate source data from the applicable files and systems. Perform analysis from either pre-set-up packages or from original source data. Perform production roles as assigned. Follows desktop procedures, publications standards and government/customer specifications for authoring. When required, programs document for multiple SGML outputs by applying applicability rules within the structure of the text. Determines proper effectivity and applicability for each authoring job. Verify information and check for discrepancies. Make changes as required. Marks up illustrations and submits using established procedures. Performs a thorough self-check of authored material. Meet production and quality standards. Uses effective communication to work through problems and ensures timely delivery of authoring tasks. Meet assigned schedules and deadlines. Develops solutions to routine technical problems of limited scope. Develops maintenance, repair & retrofit procedures and techniques of limited scope and complexity that guide end-users to change, maintain and restore product into usable condition. Utilizes engineering data knowledge, maintenance operational knowledge and pertinent regulations that guarantee product reliability, safety and efficiency. Basic Qualifications (Required Skills/Experience) Bachelor’s degree or higher is required as a BASIC QUALIFICATION 1 or 4 years of overall experience in Aerospace technical publications (technical authoring role experience in creating, revising and reviewing AMM, FIM and SRM and ATA100/iSpec2200/ S1000D standards). Possess an understanding of engineering job practices, techniques and standards. Strong PC skills with high proficiency in Windows and Microsoft Office products functionality. Ability to prioritize maximum productivity for multiple projects. Ability to define and document processes as required. Ability to identify potential issues, analyze and recommend improvements and alternate solutions. Good verbal and written communication skills. Proven reasoning, analytical abilities and mechanical aptitude. Preferred Qualifications (Desired Skills/Experience): Bachelor’s degree or higher preferably in Mechanical, Electrical, or Aeronautical Engineering. Typical Education & Experience Bachelor's or equivalent with Minimum of 1 – 5 years of experience / Master’s degree with 2 to 4 or more years' experience in Aerospace/Mechanical/Electrical and Electronics. Relocation This position offers relocation within in India. Applications for this position will be accepted until Jun. 07, 2025 Export Control This is not an Export Control position. Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Equal Opportunity Employer: We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited toconducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.