827 Data Services Jobs - Page 6

We are hiring a Python-based Data Engineer to develop ETL processes and data pipelines. Key Responsibilities : Build and optimize ETL/ELT data pipelines. Integrate APIs and large-scale data ingestion systems. Automate data workflows using Python and cloud tools. Collaborate with data science and analytics teams. Required Qualifications: 2+ years in data engineering using Python. Familiar with tools like Airflow, Pandas, and SQL. Experience with cloud data services (AWS/GCP/Azure).

We are hiring a Python-based Data Engineer to develop ETL processes and data pipelines. Key Responsibilities : Build and optimize ETL/ELT data pipelines. Integrate APIs and large-scale data ingestion systems. Automate data workflows using Python and cloud tools. Collaborate with data science and analytics teams. Required Qualifications: 2+ years in data engineering using Python. Familiar with tools like Airflow, Pandas, and SQL. Experience with cloud data services (AWS/GCP/Azure).

We are hiring a Python-based Data Engineer to develop ETL processes and data pipelines. Key Responsibilities : Build and optimize ETL/ELT data pipelines. Integrate APIs and large-scale data ingestion systems. Automate data workflows using Python and cloud tools. Collaborate with data science and analytics teams. Required Qualifications: 2+ years in data engineering using Python. Familiar with tools like Airflow, Pandas, and SQL. Experience with cloud data services (AWS/GCP/Azure).

We are hiring a Python-based Data Engineer to develop ETL processes and data pipelines. Key Responsibilities : Build and optimize ETL/ELT data pipelines. Integrate APIs and large-scale data ingestion systems. Automate data workflows using Python and cloud tools. Collaborate with data science and analytics teams. Required Qualifications: 2+ years in data engineering using Python. Familiar with tools like Airflow, Pandas, and SQL. Experience with cloud data services (AWS/GCP/Azure).

Responsibilities: Provide technical direction, technically hands-on to engage in implementation of projects, working in a distributed development environment; Well versed with Microsoft technologies - .NET, Azure Data services (ADF, Azure SQL) Azure PaaS (Web apps, key vaults, Function Apps, Azure App Service) & Azure DevOps – CI/CD Good at Front end technologies – Blazor / Angular (one of them must) Exp using Mobile technologies – Xamarin (ioS/Android), iOS, Kotlin, Java, migration to MAUI Develop high level designs for converting functional requirements into business processes ; Actively participate in the requirements, design and construction phases and ensure the successful delivery from a high-level technical perspective; Participate in discussions with customers to crystallize business requirements and change request; Manage daily activities of the development team both onsite and offshore as needed; Provide mentoring, assistance and feedback to the development team on all technical matters and team deliverables; Designing/coding applications following specifications using the appropriate tools and adhering to the companies coding standards; Review pull requests, create/maintain Azure CI/CD pipelines and ARM templates; Collaboration with other teams across the globe (availability for some night conference calls during the week) Skills : C# .NET Core Azure PaaS(Azure App service, webapps, key vaults, Function Apps)) Front End – Blazor / Angular (one of them mandatory) Mobile – Xamarin (Android / ioS), MAUI, iOS MSAL 2.0, Azure AD oAuth for authentication JavaScript and Jquery ASP.NET MVC DevExtreme controls Xamarin Android and IOS Azure DevOps Entity Framework Azure SQL Server Azure Data Factory (ADF pipelines) Experienced in Agile methodology and frameworks, preferrable SCRUM Good communication skills

The Customer Excellence Advisory Lead (CEAL) role is focused on enabling customers to optimize their data utilization by providing top-tier architectural guidance and design. As a part of the Oracle Analytics Service Excellence organization, our team comprises Solution Architects who specialize in Oracle Analytics Cloud, Oracle Analytics Server, Data Services, and Fusion Data Intelligence. Our primary objective is to ensure the successful implementation and utilization of Oracle Analytics. We engage with customers and partners on a global scale, working towards building trust in Data Platform. Additionally, we collaborate closely with Product Management to improve product offerings and share our expertise through various channels such as blogs, webinars, and demonstrations. Key Responsibilities: - Proactively identify customer requirements, identify unmet needs, and develop potential solutions tailored to different customer segments. - Evaluate and provide support for big data infrastructures, including reviewing existing designs for big data architectures that align with the business's strategic objectives. - Collaborate effectively with cross-functional teams to deliver optimal solutions. - Prepare for and address complex product or solution-related inquiries or challenges that customers may encounter. - Educate key internal stakeholders on customer complexities and the benefits of various programs through activities like speaking engagements at events, team meetings, and product reviews.,

1Lattice is a 360-degree business decision support platform with a tech-enabled services stack of data, people network, and custom research. Powered by advanced tech tools and unique data-gathering approaches, 1Lattice offers an integrated product suite to make decisions smartly, right from Inputs to Validation, Execution and Measurement. 1Lattice works with clients and partners globally, helping them solve a wide variety of business and organizational problems through actionable research-led insights. As a Director, you will have four key responsibilities: 1. Driving business development. 2. Client management. 3. Ensuring project delivery. 4. Team management. Your primary responsibility will be to drive business revenues and profitability by owning existing key accounts/clients for 1Lattice and opening up new accounts through various strategies such as marketing activities, cold calling, and business discussions. Additionally, you will be accountable for managing project profitability, enhancing product offerings, and developing connections with senior-level Private Equity and Venture Capital executives. In this role, you will lead delivery teams in the Financial Investors vertical, overseeing project delivery and guiding the research process to generate insights that aid clients in making investment decisions. Your leadership extends internally as well, where you will motivate colleagues, support team members in their professional growth, and contribute to building a strong team culture within 1Lattice. Key Roles and Responsibilities: - Meet and exceed revenue/business development and profitability targets. - Drive sectoral marketing, industry visibility, and brand representation. - Ensure high client satisfaction through impactful delivery. - Maintain business continuity with existing clients and secure repeat business. - Take ownership of project scope and delivery, leading high-impact teams. - Drive thought leadership in projects and provide innovative solutions to client problems. - Manage team growth and satisfaction, fostering a strong team culture. - Actively participate in recruitment and build project delivery teams. Competencies and Skills: - Minimum 10 years of experience in data services, business research, or consulting. - Strong industry connections in the PE/VC sector with the ability to handle senior conversations. - Proficiency in creating impactful proposals and delivering compelling client presentations. - Demonstrated ability to manage large-scale projects and drive work through teams efficiently. - Excellent team management skills, focusing on growth, efficiency, and team culture. - Strong analytical and problem-solving abilities. - Outstanding written and verbal communication skills. - High drive and energy levels. Qualifications and Certifications: - MBA degree from a Tier 1 college. - 10+ years of experience in primary and secondary research and data projects. - Demonstrated leadership in educational and professional endeavors.,

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Informatica Cloud Good to have skills : Oracle Procedural Language Extensions to SQL (PLSQL), Microsoft Azure Data ServicesMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Architect, you will design and deliver technology architecture for various platforms, products, or engagements. Your typical day will involve collaborating with cross-functional teams to define solutions that meet performance, capability, and scalability needs. You will engage in discussions to ensure that the architecture aligns with business objectives and technical requirements, while also addressing any challenges that arise during the development process. Your role will require you to stay updated with industry trends and best practices to provide innovative solutions that enhance the overall architecture framework.Required following skillsInformatica CDI:ExpertIICS CAI:IntermediateSource/Targets:APIs, Semi structured data processing ExpertScripting- Python nice to haveDatabase:SQL ExpertCloud:Azure (must), AWS nice to have 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Evaluate and recommend new technologies to improve architecture efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Informatica Cloud.- Good To Have Skills: Experience with Microsoft Azure Data Services, Oracle Procedural Language Extensions to SQL (PLSQL).- Strong understanding of data integration and ETL processes.- Experience in designing scalable cloud-based architectures.- Proficient in performance tuning and optimization techniques. Additional Information:- The candidate should have minimum 7.5 years of experience in Informatica Cloud.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to enhance the overall data strategy and architecture. 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.- Engage in continuous learning to stay updated with industry trends and technologies.- Assist in the documentation of data platform processes and best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with cloud data services and data warehousing solutions.- Strong understanding of data integration techniques and ETL processes.- Familiarity with data governance and data quality frameworks.- Experience in working with big data technologies and frameworks. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Cloud Platform Architect Project Role Description : Oversee application architecture and deployment in cloud platform environments -- including public cloud, private cloud and hybrid cloud. This can include cloud adoption plans, cloud application design, and cloud management and monitoring. Must have skills : Informatica Cloud Good to have skills : Oracle Procedural Language Extensions to SQL (PLSQL), Informatica Intelligent Cloud Services, Microsoft Azure Data ServicesMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Architect, you will oversee the application architecture and deployment in various cloud platform environments, including public, private, and hybrid clouds. Your typical day will involve collaborating with cross-functional teams to design cloud adoption plans, manage cloud applications, and monitor cloud performance, ensuring that all systems operate efficiently and effectively. You will also engage in strategic discussions to align cloud solutions with business objectives, providing guidance and expertise to enhance the overall cloud infrastructure.Required following skillsInformatica CDI:ExpertIICS CAI:IntermediateSource/Targets:APIs, Semi structured data processing ExpertScripting- Python nice to haveDatabase:SQL ExpertCloud:Azure (must), AWS nice to have 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.- Facilitate knowledge sharing and best practices among team members to enhance overall team performance.- Evaluate and recommend new cloud technologies and tools to improve application deployment and management. Professional & Technical Skills: - Must To Have Skills: Proficiency in Informatica Cloud.- Good To Have Skills: Experience with Informatica Intelligent Cloud Services, Oracle Procedural Language Extensions to SQL (PLSQL), Microsoft Azure Data Services.- Strong understanding of cloud architecture principles and best practices.- Experience with cloud migration strategies and implementation.- Proficient in monitoring and optimizing cloud performance and costs. Additional Information:- The candidate should have minimum 12 years of experience in Informatica Cloud.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP BusinessObjects Data Services Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team in implementing effective solutions. You will also engage in strategic planning sessions to align project goals with organizational objectives, ensuring that all stakeholders are informed and involved in the process. Your role will require a balance of technical expertise and leadership skills to drive successful project outcomes and foster a collaborative team environment. 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.- Facilitate training and development opportunities for team members to enhance their skills.- Monitor project progress and implement adjustments as necessary to ensure timely delivery. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP BusinessObjects Data Services.- Strong understanding of data integration and transformation processes.- Experience with ETL (Extract, Transform, Load) processes and tools.- Familiarity with database management systems and SQL.- Ability to troubleshoot and resolve technical issues efficiently. Additional Information:- The candidate should have minimum 5 years of experience in SAP BusinessObjects Data Services.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP CPI for Data Services Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that the applications are aligned with business objectives and user needs, while maintaining a focus on quality and efficiency throughout the project lifecycle. Roles & Responsibilities:- Demonstrate a solid understanding of SAP technical architecture, ensuring alignment with enterprise standards and solution scalability.- Possess in-depth, high-level knowledge of application integration across tools such as SAP Solution Manager/ChaRM, Azure DevOps (ADO), Tricentis, and Signavio/ARIS (among others), focusing on identifying automation opportunities to streamline development and enhance deliverables traceability processes. Lead the creation of detailed and realistic implementation and deployment plans, ensuring timely delivery of project milestones while adhering to quality standards. Collaborate effectively with cross-functional teams and stakeholders (Client, SAP, and other vendors), including business users, developers, testing teams, and infrastructure partners, to ensure seamless communication and execution.- Develop and maintain comprehensive low-level design documentation, supporting technical teams with clear solution blueprints and architecture diagrams.- Proactively identify, assess, and manage project risks, while defining and implementing effective mitigation strategies to minimize the impact on project timelines and deliverables.- Leverage knowledge of BP client systems and current-state processes to enhance solution alignment and provide value-added insights during tools integration planning and execution.- Expected to be an SME (Subject Matter Expert).- Collaborate and manage the team to perform, ensuring alignment and productivity.- Responsible for team decisions, providing clear direction and support.- Engage with multiple teams and contribute to key decisions that influence project success.- Provide solutions to problems both for the immediate team and across multiple teams.- Facilitate knowledge-sharing sessions to enhance team capabilities and growth.- Monitor project progress and ensure the timely delivery of milestones, keeping track of deadlines and quality. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP CPI for Data Services.- Strong understanding of application design and architecture principles.- Experience with integration processes and data transformation techniques.- Familiarity with cloud-based solutions and deployment strategies.- Ability to troubleshoot and resolve technical issues effectively. Additional Information:- The candidate should have minimum 7.5 years of experience in SAP CPI for Data Services.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Req ID: 316776 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Java Full Stack Engineer to join our team in Hyderabad, Telangana (IN-TG), India (IN). NTT DATA Services currently seeks Java Full Stack Engineer to join our team in Hyderabad Java Full Stack Engineer ==================== In this contingent resource assignment, you may: Consult on or participate in moderately complex initiatives and deliverables within Software Engineering and contribute to large-scale planning related to Software Engineering deliverables. Review and analyze moderately complex Software Engineering challenges that require an in-depth evaluation of variable factors. Contribute to the resolution of moderately complex issues and consult with others to meet Software Engineering deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements. Collaborate with client personnel in Software Engineering. Comments for Suppliers (Use this area to provide any additional comments to all suppliers. For example, any specific skills to prioritise when looking for profiles.: Java, Kafka, MongoDB, SpringBoot, Microservices About NTT DATA NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https: / / us.nttdata.com / en / contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If youd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .

5 to 9 years experience Nice to have Worked in hp eco system (FDL architecture) Databricks + SQL combination is must - Proficiency in Azure data services such as Azure SQL Database, Azure Cosmos DB, and Azure Data Lake Storage. - Experience with ETL (Extract, Transform, Load) processes and data integration. - Strong SQL and database querying skills. - Familiarity with data modeling and database design. EXPERIENCE 4.5-6 Years SKILLS Primary Skill: Data Engineering Sub Skill(s): Data Engineering Additional Skill(s): databricks, SQL

Must have a solid working knowledge of AWS database & data services and the Power BI stack Must have exp. in gathering requirements, modeling data, designing & supporting high-performance big data backend and data visualization systems Exp. in utilizing methodologies & platform stacks like Map Reduce, Spark, Streaming solutions (like Kafka, Kinesis), ETL systems (like Glue, Firehose), storage (like S3), warehouse stacks (like Redshift, DynamoDB) and equivalent open source stacks Exp. in designing & implementing solutions using visualization technologies like Power BI, Quick Sight Exp. in Maintain and continuously groom the product backlog, the release pipeline, and the product roadmap Capture problem statement and opportunities raised by customers as demand items, epics & stories. Lead database physical design sessions with the engineers in the team Lead quality assurance, load test of the solution to ensure customer experience is maintained. Support data governance and data quality (cleansing) Efforts. Aws Database, Big Data, Data Services, Powerbi Stack

About the Role We re looking for a Senior Azure Data Engineer with deep expertise in Databricks and modern Azure data engineering tools. You ll design, build, and optimize scalable data pipelines and solutions, leveraging advanced features of Databricks and Azure to deliver high-quality, secure, and efficient data platforms. Key Skills & Expertise Strong hands-on experience with Databricks , including: Databricks Notebooks (Python, SQL) Unity Catalog for governance & security Advanced Databricks performance optimization techniques Best practices for cost and compute efficiency Proficient in Azure Data Factory (ADF) for orchestrating ETL workflows. Excellent programming in Python , with advanced PySpark skills. Solid understanding of Apache Spark internals & tuning . Expertise in SQL writing complex queries, optimizing joins, working with large datasets. Familiar with data warehousing principles & modeling techniques (e.g., star/snowflake schemas). Knowledge of Azure data services: Data Lake Storage , Synapse Analytics , SQL Database . Experience implementing data governance , access control, and data lineage . What You ll Do Design and implement robust, scalable, and efficient data pipelines using Databricks and ADF. Leverage Unity Catalog to secure and govern sensitive data. Optimize Databricks jobs & queries for speed, cost, and scalability. Build and maintain Delta Lake tables and data models suitable for analytics and BI. Collaborate with stakeholders to define data needs, provide solutions, and deliver business value. Automate manual workflows, improve reliability, and ensure data quality. Troubleshoot and monitor pipelines to guarantee uptime and data accuracy. Mentor junior engineers and foster best practices in Databricks & Azure data engineering. Preferred Background 5+ years in data engineering with a focus on Azure. Demonstrated ability to work with large-scale distributed systems . Strong communication and teamwork skills. Certifications in Databricks and/or Azure Data Engineering are a plus.

Key Responsibilities: Team Leadership: Lead and mentor a team of Azure Data Engineers, providing technical guidance and support. Foster a collaborative and innovative team environment. Conduct regular performance reviews and set development goals for team members. Organize training sessions to enhance team skills and technical capabilities. Azure Data Platform: Design, implement, and optimize scalable data solutions using Azure data services such as Azure Databricks, Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics. Ensure data engineering best practices and data governance are followed. Stay up-to-date with Azure data technologies and recommend improvements to enhance data processing capabilities. Data Architecture: Collaborate with data architects to design efficient and scalable data architectures. Define data modeling standards and ensure data integrity, security, and governance compliance. Project Management: Work with project managers to define project scope, goals, and deliverables. Develop project timelines, allocate resources, and track progress. Identify and mitigate risks to ensure successful project delivery. Collaboration & Communication: Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to deliver data-driven solutions. Communicate effectively with stakeholders to understand requirements and provide updates. Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Proven experience as a Team Lead or Manager in data engineering. Extensive experience with Azure data services and cloud technologies. Expertise in Azure Databricks, PySpark, and SQL. Strong understanding of data engineering best practices, data modeling, and ETL processes. Experience with agile development methodologies. Certifications in Azure data services (preferred). Preferred Skills: Experience with big data technologies and data warehousing solutions. Familiarity with industry standards and compliance requirements. Ability to lead and mentor a team.

Role & responsibilities Must To Have Skills: Proficiency in SAP CPI for Data Services - Strong understanding of data integration processes - Experience in designing and implementing data services solutions - Knowledge of SAP Cloud Platform Integration tools - Hands-on experience in troubleshooting and resolving technical issues Pan India Location

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP CPI for Data Services Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that solutions are effectively implemented across multiple teams, while maintaining a focus on quality and efficiency in application delivery. 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP CPI for Data Services.- Strong understanding of integration processes and data transformation techniques.- Experience with application design and architecture principles.- Ability to troubleshoot and resolve complex application issues.- Familiarity with agile methodologies and project management tools. Additional Information:- The candidate should have minimum 12 years of experience in SAP CPI for Data Services.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Our goal is to reduce complexity and enhance transparency for our internal stakeholders, ensuring a scalable foundation for future growth. Our technology stack includes SAP BW, SAP Datasphere, Databricks, Microsoft Fabric, Microsoft Power Platform, and Power BI. Background and Skills To be successful in this role, you should hold a degree in Finance, Sales & Marketing, IT, Business Administration, Engineering, or a related field that enables you to approach tasks with a structured, analytical, and data-driven mindset. Previous experience with Finance processes, ERP systems (particularly SAP), ERP data models, Microsoft tools, and Power BI combined with strong business acumen and exceptional collaboration skills is essential Role & responsibilities Gather, analyze, and document business requirements clearly to guide Data Engineers in developing solutions aligned with business needs and technological capabilities Evaluate existing data processes and solutions, identifying opportunities for optimization and complexity reduction Engage with stakeholders to gather new requirements and clearly communicate process and data gaps, advocating for improvements and corrective actions Perform data modeling exercises to ensure common data model is achieved across the various source data systems Cleanse and maintain data quality, actively supporting business stakeholders in continuous data quality improvement initiatives Ensure the development and maintenance of high-quality BI logic and reporting standards, delivering scalable, standardized outputs understandable by all stakeholders Desired profile:- Strong analytical mindset with excellent data querying and analytical skills Proactive, solution-oriented, and pragmatic approach to problem-solving. • Curiosity and openness to learning new methods and tools Independent and efficient work habits, demonstrating persistence and accountability. Proactive ownership in driving continuous improvements, considering broader organizational impacts Flexibility and dedication to team success, willing to go above and beyond as necessary. Key Qualifications: 5+ years of experience in data analysis, business intelligence, or a similar role Strong proficiency in data analysis tools such as Excel, SQL, Power BI, or Tableau Extensive knowledge of statistical analysis, data modeling, and data visualization techniques. Hands-on experience with ETL processes Ability to write complex DAX measures, KPIs, and perform advanced calculations in Power BI Demonstrated experience with manufacturing analytic

Role Senior Databricks Engineer As a Mid Databricks Engineer, you will play a pivotal role in designing, implementing, and optimizing data processing pipelines and analytics solutions on the Databricks platform. You will collaborate closely with cross-functional teams to understand business requirements, architect scalable solutions, and ensure the reliability and performance of our data infrastructure. This role requires deep expertise in Databricks, strong programming skills, and a passion for solving complex engineering challenges. What you'll do : - Design and develop data processing pipelines and analytics solutions using Databricks. - Architect scalable and efficient data models and storage solutions on the Databricks platform. - Collaborate with architects and other teams to migrate current solution to use Databricks. - Optimize performance and reliability of Databricks clusters and jobs to meet SLAs and business requirements. - Use best practices for data governance, security, and compliance on the Databricks platform. - Mentor junior engineers and provide technical guidance. - Stay current with emerging technologies and trends in data engineering and analytics to drive continuous improvement. You'll be expected to have : - Bachelor's or master's degree in computer science, Engineering, or a related field. - 5 to 8 years of overall experience and 2+ years of experience designing and implementing data solutions on the Databricks platform. - Proficiency in programming languages such as Python, Scala, or SQL. - Strong understanding of distributed computing principles and experience with big data technologies such as Apache Spark. - Experience with cloud platforms such as AWS, Azure, or GCP, and their associated data services. - Proven track record of delivering scalable and reliable data solutions in a fast-paced environment. - Excellent problem-solving skills and attention to detail. - Strong communication and collaboration skills with the ability to work effectively in cross-functional teams. - Good to have experience with containerization technologies such as Docker and Kubernetes. - Knowledge of DevOps practices for automated deployment and monitoring of data pipelines.

Key Responsibilities: Team Leadership: Lead and mentor a team of Azure Data Engineers, providing technical guidance and support. Foster a collaborative and innovative team environment. Conduct regular performance reviews and set development goals for team members. Organize training sessions to enhance team skills and technical capabilities. Azure Data Platform: Design, implement, and optimize scalable data solutions using Azure data services such as Azure Databricks, Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics. Ensure data engineering best practices and data governance are followed. Stay up-to-date with Azure data technologies and recommend improvements to enhance data processing capabilities. Data Architecture: Collaborate with data architects to design efficient and scalable data architectures. Define data modeling standards and ensure data integrity, security, and governance compliance. Project Management: Work with project managers to define project scope, goals, and deliverables. Develop project timelines, allocate resources, and track progress. Identify and mitigate risks to ensure successful project delivery. Collaboration & Communication: Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to deliver data-driven solutions. Communicate effectively with stakeholders to understand requirements and provide updates. Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Proven experience as a Team Lead or Manager in data engineering. Extensive experience with Azure data services and cloud technologies. Expertise in Azure Databricks, PySpark, and SQL. Strong understanding of data engineering best practices, data modeling, and ETL processes. Experience with agile development methodologies. Certifications in Azure data services (preferred). Preferred Skills: Experience with big data technologies and data warehousing solutions. Familiarity with industry standards and compliance requirements. Ability to lead and mentor a team.

As a Database Administrator at NTT DATA, you will be a seasoned subject matter expert responsible for ensuring the availability, integrity, and performance of critical data assets. You will work closely with cross-functional teams to support data-driven applications, troubleshoot issues, and implement robust backup and recovery strategies. Collaboration with Change Control, Release Management, Asset and Configuration Management, and Capacity and Availability Management will be essential to establish user needs, monitor access and security, and control database environments. Key responsibilities include performing the installation, configuration, and maintenance of database management systems, collaborating with software developers/architects to optimize database schemas, and designing backup and disaster recovery strategies. You will monitor database performance, identify bottlenecks, and optimize queries for optimal performance. Additionally, you will work on database documentation, data validation, integrity checks, and data cleansing activities. Supporting database-related initiatives, applying patches, and communicating with technical teams and stakeholders are also crucial aspects of the role. To excel in this position, you should have seasoned proficiency in database administration tasks, SQL knowledge, database security principles, backup and recovery strategies, and data architecture. Effective communication, problem-solving, analytical skills, and the ability to manage multiple projects concurrently are necessary. Academic qualifications include a Bachelor's degree in computer science or related field, along with relevant certifications such as MCSE DBA or Oracle Associate. Prior experience as a Database Administrator in an IT organization, working with Oracle Enterprise and Microsoft SQL Server, and managing databases is required. NTT DATA is a trusted global innovator of business and technology services, committed to helping clients innovate, optimize, and transform for long-term success. With a focus on R&D and a diverse team of experts, NTT DATA provides consulting, data, AI, and industry solutions to move organizations confidently into the digital future. As an Equal Opportunity Employer, NTT DATA offers a workplace where diversity and inclusion thrive, allowing employees to grow, belong, and succeed.,

You should have a solid working knowledge of AWS database & data services as well as the Power BI stack. Your experience should include gathering requirements, modeling data, and designing & supporting high-performance big data backend and data visualization systems. Additionally, you should be proficient in utilizing methodologies & platform stacks such as Map Reduce, Spark, Streaming solutions (like Kafka, Kinesis), ETL systems (like Glue, Firehose), storage (like S3), warehouse stacks (like Redshift, DynamoDB), and equivalent open source stacks. Your responsibilities will involve designing & implementing solutions using visualization technologies like Power BI and Quick Sight. You will also need to maintain and continuously groom the product backlog, the release pipeline, and the product roadmap. It is important for you to capture problem statements and opportunities raised by customers as demand items, epics & stories. Furthermore, you will be expected to lead database physical design sessions with the engineers in the team and oversee quality assurance and load tests of the solution to ensure customer experience is maintained. You should also support data governance and data quality (cleansing) efforts. Your primary skills should include expertise in AWS database, data services, PowerBi stack, and Big data.,

Role Senior Databricks Engineer As a Mid Databricks Engineer, you will play a pivotal role in designing, implementing, and optimizing data processing pipelines and analytics solutions on the Databricks platform. You will collaborate closely with cross-functional teams to understand business requirements, architect scalable solutions, and ensure the reliability and performance of our data infrastructure. This role requires deep expertise in Databricks, strong programming skills, and a passion for solving complex engineering challenges. What you'll do : - Design and develop data processing pipelines and analytics solutions using Databricks.- Architect scalable and efficient data models and storage solutions on the Databricks platform.- Collaborate with architects and other teams to migrate current solution to use Databricks.- Optimize performance and reliability of Databricks clusters and jobs to meet SLAs and business requirements.- Use best practices for data governance, security, and compliance on the Databricks platform.- Mentor junior engineers and provide technical guidance.- Stay current with emerging technologies and trends in data engineering and analytics to drive continuous improvement. You'll be expected to have : - Bachelor's or master's degree in computer science, Engineering, or a related field.- 5 to 8 years of overall experience and 2+ years of experience designing and implementing data solutions on the Databricks platform.- Proficiency in programming languages such as Python, Scala, or SQL.- Strong understanding of distributed computing principles and experience with big data technologies such as Apache Spark.- Experience with cloud platforms such as AWS, Azure, or GCP, and their associated data services.- Proven track record of delivering scalable and reliable data solutions in a fast-paced environment.- Excellent problem-solving skills and attention to detail.- Strong communication and collaboration skills with the ability to work effectively in cross-functional teams.- Good to have experience with containerization technologies such as Docker and Kubernetes.- Knowledge of DevOps practices for automated deployment and monitoring of data pipelines.