17 Data Technologies Jobs

NTT DATA is looking for a skilled Business Analyst - Data to join their team in Bangalore, Karntaka (IN-KA), India. As a Data Business Analyst, you will be responsible for managing and executing the requirements management processes for the ODIE program. Your role will involve providing input to the design and maintenance of these processes. Your duties will include understanding the BA organization, identifying relevant parties and stakeholders for DPF processes, forming working relationships with stakeholders to facilitate communication, proactively gathering business needs and expectations, translating them into suitable objects such as requirements, epics, and user stories, and managing the requirements lifecycle and prioritization. You will also ensure that requirements are sufficient for high-quality design, engineering, and testing and that they are recorded, tracked, measured, audited, and managed across the program. The ideal candidate should have experience working with various data platforms and solutions, understanding, developing, and communicating technical requirements for data solutions, working in complex and high-pressure environments with technical and business stakeholders, and knowledge of a range of data technologies. NTT DATA is a trusted global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries and a robust partner ecosystem. Their services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is committed to helping clients innovate, optimize, and transform for long-term success. It is part of the NTT Group, which invests significantly in R&D to support organizations and society in confidently transitioning into the digital future. Visit us at us.nttdata.com.,

NTT DATA is looking for a Senior Business Analyst - Data to join the team in Bangalore, Karnataka, India. As a Data Business Analyst, you will work within the NTT DATA CPO team, reporting to the CPO or delegate. Your main responsibilities will include managing, facilitating, and executing the requirements management processes for the ODIE program. You will also be required to provide input for the design and maintenance of these processes. To excel in this role, you should have a good understanding of the BA organization, identifying relevant parties and stakeholders for DPF processes. Building strong working relationships with stakeholders to ensure effective communication and understanding is crucial. You will be expected to proactively gather business needs and expectations from various departments and translate them into suitable requirements, epics, user stories, or outcomes. In addition, you will be responsible for managing and communicating the requirements lifecycle and prioritization. It is essential to ensure that the requirements are detailed enough to support high-quality design, engineering, and testing processes to meet the business's expectations. Tracking, measuring, auditing, and managing requirements across the program will also be part of your responsibilities. Ideal candidates for this position should have prior experience working with a variety of data platforms and solutions. You should be comfortable developing and communicating technical requirements for data solutions. Experience in working within complex and high-pressure environments with both technical and business stakeholders is highly desirable. Knowledge and practical experience with a range of data technologies will be an added advantage. NTT DATA is a global innovator of business and technology services, with a commitment to helping clients innovate, optimize, and transform for long-term success. With a diverse team of experts in over 50 countries and a robust partner ecosystem, NTT DATA provides services such as business and technology consulting, data and artificial intelligence solutions, industry-specific offerings, and application development and management. As a leading provider of digital and AI infrastructure worldwide, NTT DATA is part of the NTT Group, investing significantly in research and development to support organizations and society on their digital journey. To learn more, visit us at us.nttdata.com.,

An experienced BI/Reporting Developer with analytical skills in transforming data into actionable insights. This role emphasizes data analysis, dashboard development, backend pipeline integration, and automation in cloud-based BI environments. Key Responsibilities: Perform a detailed gap analysis between expected and actual reporting metrics Work closely with cross-functional teams to gather requirements and define KPIs Proactively identify data anomalies and communicate possible root causes Develop, build, and deploy BI solutions or reporting tools. Translate complex datasets into clear visual insights for a range of business audiences Engage with ETL processes Collaborate with backend, data engineering, and DevOps teams to align BI systems with technical infrastructure Automate reporting workflows and establish alerting mechanisms for anomalies and thresholds Enhance dashboard performance and streamline data refresh protocols Maintain detailed documentation for BI dashboards, models, and metrics Preferred Skills Strong proficiency in Kafka, Spark, and microservice architectures Demonstrated success in identifying data inconsistencies and pipeline issues Hands-on experience with R, Python, DAX, and GraphQL. Deep understanding of ETL/ELT workflows and data modeling Experience in cloud-based BI ecosystems (AWS preferred) Education & Experience Minimum Bachelors degree from a reputed college or university (STEM) Minimum 3-5 years of experience in BI development, data integration, and analytics

As the Data Use Rights Leader at Accenture Data Governance Organization, your primary responsibility is to spearhead the definition and implementation of a comprehensive Data Use Rights process and technology solution. You will be tasked with setting a go-forward strategy and execution plan to secure secondary use data rights across various data types, including client, venture, partner, and workforce data. Your role will involve collaborating closely with legal teams on contractual negotiations to ensure consent and transparency of data use are integrated into agreements and data curation efforts. Additionally, you will be responsible for determining technology needs for a data use rights engine and managing ongoing efforts to showcase the value of data permissible contracts to both internal and external clients. Key Responsibilities: - Develop and execute a strategic vision and roadmap for data use rights that aligns with business objectives and ensures scalability and contractual compliance. - Envision, define, and implement a scalable, automated data use management process and technology to track and manage data rights across client contracts, publish and discover data products, and other platform capabilities. - Collaborate with product owners to ensure data usage complies with contractual, legal, and ethical requirements. - Work with cross-functional teams, including legal, global IT, Client Account Leaders, Industry leads, and other stakeholders to build a comprehensive approach and system for tracking data use rights. - Act as the main point of contact for business stakeholders, defining KPIs and driving continuous improvement. - Ensure data products meet regulatory requirements and promote data governance best practices. - Identify the requirements for metrics and reporting on data use rights. Qualifications & Skills: - Expertise in collaborating across teams to set strategic vision and define technology requirements. - Strong analytical skills and the ability to leverage data for decision-making. - Excellent communication skills to convey complex ideas to technical and non-technical audiences. - Hands-on experience with data visualization and reporting tools (e.g., Tableau, Power BI). - Familiarity with cloud platforms (AWS, GCP, Azure) and data technologies (SQL, Python, Spark). - Strong leadership and interpersonal skills to influence stakeholders at all levels. - Proven ability to manage multiple priorities in a fast-paced, agile environment. - Entrepreneurial mindset with a passion for driving business growth through innovative data products. Educational Background: - Bachelors or Masters degree in Business, Data Science, Computer Science, Engineering, or related fields. Experience: - Experience in data governance focusing on technology for managing permissible data use. - Proven experience as a Product Owner or Product Manager. - Experience leading cross-functional teams to deliver high-impact data products. - Strong experience in prototyping data products and iterating based on feedback. - Knowledge of data governance, privacy regulations (GDPR, CCPA), and best practices for data management. - Familiarity with AI/ML applications and the ability to translate technical concepts into business value.,

Step into the role of a Data & Records Governance Lead - VP where you will play a pivotal role in shaping the future of Barclays" Control team function. Your responsibilities will include managing stakeholder relationships, participating in governance forums, and overseeing risk and control objectives. Personal attributes required for this role include strong leadership, collaboration, and strategic thinking skills. Your key accountabilities will involve: - Development and maintenance of a comprehensive data and records governance framework aligned with regulatory requirements and industry standards. - Monitoring data quality and records metrics and ensuring compliance with standards across the organization. - Identification and addressing of data and records management risks and gaps. - Development and implementation of a records management program that ensures the proper identification, classification, storage, retention, retrieval, and disposal of records. - Development and implementation of a data governance strategy that aligns with the bank's overall data management strategy and business objectives. - Providing Group-wide guidance and training on Data and Records Management standard requirements. To be successful in this role, you should have experience with: - Banking industry experience, ideally within large matrixed organizations. - Deep knowledge of data governance frameworks, data risk management, and regulatory expectations such as BCBS 239. - Previous experience in implementing and operating data governance controls. - Previous experience implementing risk and control frameworks within the context of data and records management. - Demonstrated ability to engage and influence senior stakeholders across business, technology, and risk functions. - A Bachelor's Degree is required. Some other highly valued skills may include: - Excellent verbal and written communication skills, capable of articulating complex data topics to diverse audiences. - Proven track record of driving organizational change within data management and governance. The purpose of the role is to drive the bank's data strategy and maximize the value of its data assets by overseeing all aspects of data and records management. Your main accountabilities will involve: - Development and implementation of Barclays Data & Records Management strategy aligned with the bank's business objectives and regulatory requirements. - Defining and enforcing data governance policies and procedures to ensure data integrity, security, and compliance. - Development and implementation of data management systems and technologies. - Driving a consistent approach for managing and using data across the business. - Partnering with stakeholders to drive improvements in the understanding, use, and quality of data. As a Vice President, you are expected to contribute or set strategy, drive requirements, and make recommendations for change. You will also be responsible for managing risks, demonstrating leadership, and accountability for managing risk and strengthening controls in relation to the work your team does. Additionally, you are expected to collaborate with other areas of work and create solutions based on sophisticated analytical thought. All colleagues are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset to Empower, Challenge, and Drive.,

You will be responsible for leading the Data Use Rights function within the Accenture Data Governance Organization as an Associate Director or Senior Manager. Your main focus will be on defining and implementing a comprehensive Data Use Rights process and technology solution. This will involve securing secondary use data rights for various data types, including client, venture, partner, and workforce data. You will work closely with the legal team on contractual negotiations to ensure that consent and transparency of data use are integrated into agreements and data curation efforts. Your key responsibilities will include developing and executing a strategic vision and roadmap for data use rights that align with business goals, ensuring scalability and contractual compliance. You will also be tasked with envisioning, defining, and implementing a scalable, automated data use management process through the Accenture Data Governance Platform. Collaborating with various stakeholders, such as product owners, legal, IT, client account leaders, and industry leads, will be essential to track data use rights effectively and ensure compliance with contractual, legal, and ethical requirements. As the main point of contact for business stakeholders, you will define KPIs and drive continuous improvement while championing data governance best practices and ensuring regulatory compliance. Your role will also involve identifying the requirements for metrics and reporting on data use rights. To excel in this role, you should possess expertise in collaborating across teams to set strategic visions and define technology requirements. Strong analytical skills, the ability to leverage data for decision-making, excellent communication skills, and hands-on experience with data visualization and reporting tools are essential. Familiarity with cloud platforms and data technologies, strong leadership and interpersonal skills, the ability to manage multiple priorities in a fast-paced environment, and an entrepreneurial mindset are also critical for success. Ideally, you should hold a Bachelor's or Master's degree in Business, Data Science, Computer Science, Engineering, or related fields. Previous experience in data governance, product management, and leading cross-functional teams to deliver high-impact data products will be beneficial. Knowledge of data governance, privacy regulations, AI/ML applications, and the ability to translate technical concepts into business value are additional qualifications that will be advantageous for this role.,

OLIVER+ is a global team of creative thinkers, tech-savvy trendsetters, and production pros specializing in film, CGI, automation, AI, motion design, and digital/print content. We partner with over 300 clients in 40+ countries and counting. Our focus is to connect clients with high-quality solutions, talent, and ambitious opportunities worldwide. As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionize how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results. OLIVER+ is looking for a Manager Operations & Data Management to run and support the group's global processes like timesheet compliance, tools subscriptions reporting, data audits, etc. The role involves ensuring data accuracy, integrity, and alignment across enterprise systems, as well as the accuracy of MI dashboards & reports and enterprise data integrity. This is a great opportunity to work within a global marketing and communication organization and drive operational excellence for the unit. If you are from a tech & data background having worked in ERP and data-driven services, understand the importance of systems and processes, and are inclined to measure success, this role is right for you. Additionally, having experience managing multiple stakeholders, project planning, problem-solving skills, and the ability to operate independently without much oversight are essential for this role. Responsibilities of the Manager Operations & Data Management include partnering with a centralized global operations department, ensuring data integrity across various systems, performing data analysis, automation, and optimization efforts, leading process development and prioritization, as well as providing guidance, training, and communication with stakeholders. Moreover, the role involves defining, documenting, and continually developing process frameworks, organizing cross-functional meetings, and becoming a champion for operations and Management Information System dashboards. Skills required for this role include 5-7 years of experience in Business Operations, expertise in process development lifecycle and deployment, knowledge of data technologies, project management, advanced Excel skills, familiarity with BI tools, strong presentation and communication skills, and proficiency in English. Sound understanding of business operations, data management, and MIS are also necessary. The ideal candidate should possess personal attributes such as confidence in a fast-paced environment, a creative and innovative approach, problem-solving skills, professionalism, adaptability to new tools, self-motivation, collaborative mindset, and discretion with confidential information. Being driven, proactive, helpful, enthusiastic, and embodying the company's values are crucial characteristics for success in this role. OLIVER+ values include being ambitious to succeed, imaginative to push boundaries, inspirational to do groundbreaking work, always learning and listening, results-focused to exceed expectations, and actively pro-inclusive and anti-racist across the community, clients, and creations. The company has ambitious environmental goals around sustainability, embedding sustainability into every department and stage of the project lifecycle.,

The Head of Data Technology IWPB and HSBC UK will have accountabilities for all IWPB data technologies, as well as deliveries of wider data technologies that benefit the IWPB business and HSBC UK. Reporting into the Head of CTO Data Technology, you will be responsible for strategic technology planning, transformation execution, and budget delivery with the business. Your role involves overseeing the full lifecycle of IWPB data technology services to meet data use case and regulatory requirements, and ensuring data technology service delivery to the IWPB business and HSBC UK. This includes strategic design, build quality, and service uptime metrics. You will govern the data applications to Group data standards and assist the business and markets in adopting Groupwide data capabilities and associated tooling to address complex and ambiguous problems across multiple markets. Leading the team to build core and common reusable data technology components required across multiple value streams is a key aspect of your role. Collaboration with the business is essential to deliver excellent results to challenging problems across multiple functions and geographies. You will need to focus on building engineering excellence within the team and deliver against a strategic operating plan that ensures resources, including capability, people, and funding, can enhance current customer journeys and deliver new features and compelling services. As the Head of Data Technology, you will be responsible for the global implementation of IWPB data and wider data initiatives within the Group Data Strategy. This involves working with global, regional, and business and tech leads to provide optimized global services tailored to address business demand solutions. Driving simplification of the data technology landscape through partnerships with the business to modernize strategic applications and phase out non-strategic ones in alignment with the Data Future State Architecture is also a critical aspect of your role. Your primary business stakeholders include the Head of Data and Analytics IWPB, Data Analytics Office, and COO of HSBC UK, while your primary technology stakeholders are CIO IWPB and CIO HSBC UK. It is imperative for you to drive engineering excellence, digital solutions delivery, and data standardization to support the business agenda of IWPB and HSBC UK. You will need to define, develop, and implement cutting-edge strategies to address complex problems using modern technology platforms across multiple markets. Managing the annual budget between designing and developing new services and supporting existing services, enabling reduced operational costs, and optimizing headcount distribution to deliver business value are essential responsibilities. You should have outstanding leadership skills and a deep understanding of emerging data technologies, operational effectiveness, and global data technology delivery. Experience in leading and influencing global technology teams, as well as familiarity with key technology trends and regulatory expectations, is crucial for this role. Your capabilities should include cultivating innovation, strategic thinking, taking action on new opportunities, building effective teams, driving vision and purpose, resilience in facing setbacks, managing ambiguity, and ensuring accountability. Persuasion, conviction, and the ability to address difficult issues are also important traits for this position.,

As a member of the Optum Global Analytics Team at United Health Group, you will be involved in developing advanced analytics solutions across various verticals to enhance health outcomes and drive business growth. Your work will directly impact health equity on a global scale by connecting individuals with the care, pharmacy benefits, data, and resources necessary for improved well-being. Your primary responsibilities will include designing and deploying models, ensuring responsible use of AI, detecting and mitigating bias, conducting business analysis, creating analytical findings, engaging in client communications, mentoring junior data scientists, leading knowledge sharing sessions, overseeing technical deliveries, performing quality checks, collaborating with senior team members to develop new capabilities, and continuously building and applying technical and functional skills. To excel in this role, you must possess a bachelor's degree and have at least 7 years of experience in analytics and machine learning projects within the Business Intelligence or Business Analysis space. Proficiency in analytics tools such as R, Python, SQL, Databricks, and cloud technologies is essential. Additionally, you should have a strong understanding of Predictive & Prescriptive Analytics techniques, problem-solving skills, statistics, mathematics, data technologies, data structures, Natural Language Processing, Gen-AI, Large Language Models, and excellent communication abilities. Preferred qualifications include certification in Azure Cloud (AZ-900), familiarity with Business Intelligence tools like Tableau/Power BI, and exceptional time management, communication, decision-making, and presentation skills. If you are passionate about driving impactful solutions, possess a problem-solving approach, and are committed to continuous learning and growth, we welcome you to apply for this position at our Noida, Uttar Pradesh location. Join us in making a difference in the lives of millions as we strive to advance healthcare and well-being globally through innovative analytics solutions.,

At CommBank, we are dedicated to enhancing the financial well-being of individuals and businesses by assisting them in making informed financial decisions and achieving their goals and aspirations. Regardless of your role within our organization, your initiative, talent, ideas, and energy are all valuable contributions to the positive impact we strive to make through our work. Together, we can accomplish remarkable things. We are currently seeking a Principal Software Engineer - GenAI to join our team in Bengaluru at Manyata Tech Park. As part of the Gen AI Domain, you will play a pivotal role in developing tools and capabilities that leverage Generative AI technology to address key needs within the group. Specifically, you will be involved in leading the Transformer Banking initiative. In this role, your primary responsibility will be to utilize your advanced technical expertise in engineering principles and practices within the Gen AI platform to drive business outcomes. By providing core technology and domain knowledge, you will support the technical strategy of the team and lead the design of solutions for complex challenges within Gen AI. This position offers the opportunity to be at the forefront of AI innovation within Australia's largest bank and fintech sector, shaping the future of banking with cutting-edge Gen AI solutions. Key Responsibilities: - Act as a thought and technology leader, providing technical guidance and overseeing engineering projects across AWS, Azure, AI, and ML development. - Champion strategic practice development within the Gen AI domain and mentor team members on design and technical aspects. - Build Gen AI capability among engineers through Knowledge Engineering, Prompt Engineering, and Platform Engineering. - Stay updated on advancements in generative AI, suggest best practices for infrastructure design, and ensure clear documentation of AI/ML/LLM processes. - Collaborate with other teams to integrate AI solutions into existing workflows and systems, ensuring scalability, reliability, and high availability. - Implement security best practices, monitoring systems, and Responsible AI guardrails to safeguard the platform and ensure data privacy and governance. Essential Skills: - Minimum 12 years of experience with a strong background in tech delivery and cross-cultural communication. - Proficiency in IT SDLC processes, written documentation, and key capabilities such as Prompt Engineering, Platform Engineering, and Knowledge Engineering. - Track record of building and leading engineering teams and exposure to cloud solutions, Gen AI frameworks, databases, and machine learning. Education Qualifications: - Bachelors/Masters degree in Engineering in Computer Science/Information Technology. If you are part of the Commonwealth Bank Group and interested in this opportunity, please apply through Sidekick. We are committed to supporting you in advancing your career. For any accessibility support, please contact HR Direct at 1800 989 696. Join us in shaping the future of banking through innovative Gen AI solutions!,

You will collaborate with stakeholders, including Domain Leads in Operations, IT, and Data, to understand the business needs and shape the vision and roadmap for data-driven initiatives aligned with strategic priorities. You will contribute to the development of the program vision and communicate the product and portfolio vision to your team. Working closely with data scientists, engineers, and designers, you will ensure products are built efficiently, meet user needs, and provide actionable insights. As a Data Product Owner, you will analyze data sources, data technologies, and vendors providing data services to leverage in the data product roadmap development. You will create necessary ER diagrams, data models, PRD/BRD to convey requirements and be accountable for developing and achieving product level KPIs. Managing data products with a moderate degree of strategy, scope, and complexity, you will ensure data accuracy, consistency, and security by establishing data governance frameworks and implementing data management best practices. In this role, you will collaborate with technology and business leadership to align system/application integrations inline with business goals and priorities. You will own and maintain the product backlog, prioritize its contents, and ensure clear, actionable user stories. Additionally, you will set priorities, actively participate in squad/team quarterly planning, and work closely with the agile working group to clarify business requirements, remove roadblocks, and support alignment around product strategy. Monitoring and maintaining the product health, supporting long-term product viability and efficiency, you will balance long and short-term costs with desired outcomes. You will analyze and report on feasibility, cost of delay ramifications, economies, or other aspects of planned or potential changes to the product. Understanding regulatory, compliance, and industry constraints on the product, you will negotiate with internal and external teams to ensure priorities are aligned across squads/teams both within and outside the portfolio. To qualify for this position, you should hold a Bachelor's degree in computer science, Business Administration, or related field, with a Master's degree preferred. You must have a good understanding of data technologies such as databases, data warehouses, and data lakes, along with proven experience of 5+ years as a Data Product Owner, Data Product Manager, or similar role in data or software development. Strong understanding of Agile methodologies, including Scrum and Kanban, and proficiency in programming languages such as Python, R, SQL, or SAS, and cloud technologies like AWS, Azure, are essential. Excellent analytical, problem-solving, decision-making, communication, negotiation, and interpersonal skills are required, along with proficiency in product management tools and the Microsoft Office Suite. Familiarity with UX/UI design principles, software development lifecycle, and software engineering concepts is a plus, as well as experience in insurance, particularly Commercial & Specialty Insurance products. Experience with product management tools such as JIRA, Trello, or Asana, and proficiency in Microsoft Office Suite is preferred. Familiarity with UX/UI design principles, software development lifecycle (SDLC), and software engineering concepts is a plus. Agile practitioner capabilities and experience working with or in Agile teams are highly valued. Strong teamwork, coordination, organization, and planning skills are necessary. Ability to capture complex requirements in a prioritized backlog and managing stakeholders" requirements are vital for success in this role.,

Position Details Role: Technical Recruiter Type: Full-Time (On-Site) Location: Kondapur, Hyderabad Experience Required: 5+ Years Key Responsibilities Manage the entire recruitment lifecycle from requirement gathering to onboarding Collaborate with account managers and clients to understand hiring needs and priorities Source candidates through job portals, LinkedIn, references, and other channels Screen and evaluate candidates based on technical fit and experience Coordinate interviews and manage candidate communication Negotiate compensation and ensure alignment with client budgets Maintain ATS/CRM records and recruitment metrics Required Skills & Experience 5+ years of experience in IT recruitment (staffing/consulting preferred) Strong knowledge of technical hiring for roles in Java, Microsoft, ERP, Cloud, Data, etc. Hands-on experience with sourcing techniques, job boards, and ATS tools (e.g., Ceipal, Zoho, Bullhorn) Excellent communication, negotiation, and interpersonal skills Prior experience working with Indian or international clients Why Join Alasus Technologies? Exposure to leading clients and diverse technical roles Fast-paced, collaborative work environment Competitive compensation and incentive structure Opportunities for career growth and skill development

The ideal candidate for this role is a motivated, organized, creative, dynamic, and result-oriented individual who welcomes the challenges of Software Implementation and meets Customer requirements. You will act as a bridge between our Customers and Product Development to ensure the achievement of the Product Goal and Customer expectations. Your responsibilities in this position will include managing one or more large, complex programs/projects simultaneously, collaborating effectively by sharing ideas and leading practices, working well in a team setting with clients, suppliers, and geographically dispersed virtual teams, utilizing IT methodologies and standards for financial and product management, maintaining a strong customer orientation, and staying updated on cloud computing and data technologies, business drivers, emerging trends, and deployment options. To excel in this role, you should demonstrate a balance between technology and business, effectively communicate solutions, ideas, and suggestions to various stakeholders, and have knowledge of product management frameworks and governance. As for qualifications, we are looking for candidates with a Bachelor's degree in Engineering, Maths, Science, IT, Computer Science, or equivalent experience in Software Development and/or Implementation at Customer sites. A minimum of 1-2 years of relevant experience, strong interpersonal and negotiation skills, excellent written and verbal communication skills, and willingness to travel as needed are also required. This position is based in Coimbatore, Tamilnadu, India. Candidates residing in Coimbatore and surrounding areas are preferred for all our positions. If you meet the qualifications and are interested in this opportunity, please send your Profile/Resume to hr@vyoog.com for further processing.,

As an Enterprise Architect at ACA, your primary responsibility will be to oversee the development and utilization of data systems. You will play a crucial role in discovering efficient methods to organize, store, and analyze data while ensuring its security and confidentiality. Your strategic planning and oversight will be instrumental in enhancing operational efficiency and driving business growth for a data-driven company like ACA. Key Responsibilities: - Develop and implement data management strategies aligned with company objectives. - Supervise the collection, storage, management, quality, and security of data. - Ensure data accuracy, accessibility, and minimize redundancy. - Collaborate with IT teams and management to devise a data strategy meeting industry standards. - Lead and mentor a team of data professionals. - Contribute to the design and development of the core Enterprise Data Services hub. - Engage directly with internal business stakeholders to elicit requirements and align on solution options. Education, Experience, and Skills: - Bachelor's degree in Computer Science, Data Science, or related field with a minimum of seven (7) years of experience OR at least ten (10) years of relevant industry experience (without a bachelor's degree). - Proficiency in data modeling practices with experience in building enterprise data solutions. - Hands-on experience in designing and constructing reporting and dashboarding solutions. - Familiarity with Microsoft Azure cloud environment and relevant data technologies like Azure Data Factory, Event Hubs, Synapse, etc. - Willingness to explore and adopt new technologies for delivering top-notch solutions. - Strong communication skills to effectively discuss technical matters with business stakeholders. - Experience in extracting and pushing data from various APIs, including REST. - Proficiency in using Postman, SQL, stored procedures, and functions. - Demonstrated expertise in Azure Data Factory pipelines and the Azure data landscape. - Knowledge of DAX and M query formations. Preferred Qualifications: - Prior experience with Power BI. - Proficiency in building SSAS cubes, particularly tabular modeling. - Working knowledge of C#, Python, or other object-oriented programming languages for Azure Functions. - Understanding of AI/ML to support long-term strategy. Required Skills and Attributes: - Proficient in Data Modeling. - Hands-on experience with Azure Cloud and relevant data technologies. - Experience in developing reports and dashboards, preferably using Power BI. - Ability to collaborate effectively with all levels of leadership and business partners. - Comfortable managing multiple projects simultaneously and adaptable to changing business needs. Preferred Licenses and Certifications: - Microsoft Certification in Azure or equivalent. - Certifications in Data Science. - Data Management Certification. Join us at ACA, the leading governance, risk, and compliance (GRC) advisor in financial services, where you will be part of a diverse team of industry experts. We offer an entrepreneurial work environment, innovative solutions, and multiple career paths for personal and professional growth. Embrace continuous learning, transparency, and join our award-winning global team of dedicated professionals at ACA.,

As a Technical Program Manager (TPM), you will play a crucial role in establishing a strong connection between the business and engineering departments. Your primary responsibility will involve working on intricate business constraints and translating them into essential product requirements and features. Your technical expertise will be instrumental in guiding the team from the initial project stages through to its successful launch within strict timelines. A key aspect of your role will be to demonstrate exceptional leadership skills, inspiring teams to strive for excellence and develop top-notch products. Specific requirements for this role include having a fundamental understanding of various technologies, data orchestration tools, and frameworks such as Apache Airflow, API Integrations, Micro-services Architecture, and CI/CD. Your strong communication skills will be vital in ensuring effective collaboration within the team. Additionally, you should possess knowledge of data modeling and ETL processes, along with familiarity with data streaming and real-time data processing technologies. Proficiency in utilizing data visualization tools like Tableau and Power BI to generate reports and dashboards will be beneficial for this role. An important aspect of the job involves automating repetitive tasks and workflows using scripting or automation tools. It is imperative to stay updated with the latest data technologies and industry trends, showcasing your commitment to continuous learning. Furthermore, you should be capable of explaining technical concepts and flows to non-technical audiences in a clear and concise manner. Your written communication skills must be articulate, enabling you to convey complex information effectively to engineers and Software Development Engineers in Test (SDETs). Building and nurturing strong relationships, as well as collaborating with a diverse team comprising engineering, product, and business stakeholders, will be essential for achieving success in this role.,

As a Senior Software Engineer, you would: Application Development & Maintenance: Be responsible for the development and maintenance of applications with technologies involving Enterprise Python and Distributed technologies. Technical Leadership & Collaboration: Lead the team for technical discussions and reviews. Collaborate with developers, product manager, business analysts, and business users in conceptualizing, estimating, and developing new software applications and enhancements. Documentation & Specification: Assist in the development and documentation of software's objectives, deliverables, and specifications in collaboration with internal users and departments. Quality Assurance Collaboration: Collaborate with the QA team to define test cases, metrics, and resolve questions about test results. Design & Innovation: Assist in the design and implementation process for new products, research, and create Proof of Concepts (POCs) for possible solutions. Component Development: Develop components based on business and/or application requirements. Unit Testing: Create unit tests in accordance with team policies & procedures. Mentorship & Support: Advise and mentor team members in specialized technical areas, as well as fulfill administrative duties as defined by support processes. Optimization Focus: Focus on Cost Optimizations, Scalability, Reliability, and Secure solutions for all owned features. Qualifications Required Skills & Experience Education: Bachelor's degree or equivalent in Computer Science. Experience: 9+ years of experience in a combination of the following technologies: Python (Enterprise Python) Big Data DevOps Spark Kafka SQL Angular Cloud (AWS or GCP) Microservices Architecture & APIs: Can develop SOA services and has good knowledge of REST API and Microservice architectures. Solid knowledge of web architectural and design patterns. Performance & Cost Optimization: Strong working experience on performance optimizations and a focus on Cost Optimization and Scalability. Software Security: Understands software security practices including user authentication and authorization, data validation, and an understanding of common DOS and SQL injection techniques. Development Tools: Familiar with profiling, code coverage, logging, common IDEs, and other development tools. Scripting Languages: JavaScript, Linux, and Python. Methodologies: Familiar with Agile Methodologies - SCRUM. Communication: Strong communication skills (verbal and written). Work Management: Ability to work within tight deadlines and effectively prioritize and execute tasks in a high-pressure environment. Cross-functional Interface: Demonstrated verbal and written communication skills, and ability to interface with Business, Analytics, and IT organizations. Team & Adaptability: Ability to work effectively in a short-cycle, team-oriented environment, managing multiple priorities and tasks. Problem Solving: Ability to identify non-obvious solutions to complex problems. Preferred Knowledge/Experience Big Data Ecosystems: Hadoop, Spark, Kafka, Databricks. Containerization: Docker and Kubernetes. Analytics: Streaming and Batch Analytics processes. Tools: Eclipse, Maven, Gradle, DB tools, Bitbucket/JIRA/Confluence. JavaScript UI Frameworks: Desirable knowledge of JavaScript UI frameworks (backbone, angular, react, etc.). Nice to Have Qualifications Technical: Certifications: BigData/Python/Spark/Cloud Certifications. SQL & Data Analysis: Strong technical knowledge of SQL and data analysis with relational database modeling principles and techniques. Cloud Data Technologies: Working knowledge of Data Technologies in the Cloud such as AWS services of compute, storage, messaging, RDS/Redshift, or Snowflake. Advanced SQL: Strong skills in writing SQL queries (Oracle/SQL Server/Warehouse/NoSQL) and experience in Databricks. UNIX/Linux: Basic UNIX/Linux knowledge/exposure is a plus but not required. Data Warehousing: Knowledge of data warehousing concepts. ETL/ELT Tooling: Proven expertise in ETL/ELT tooling such as Pentaho, Integration Services, Informatica, Data Pipeline, Glue. Non-Technical: Functional Knowledge: Functional knowledge of CRM, Marketing, Loyalty. Problem Solving: Excellent Analytical and problem-solving skills. Troubleshooting: Ability to diagnose and troubleshoot problems quickly. Time Management: Strong time management skills with accountability. Ownership: Ability to take full ownership of tasks and projects. Behavioral Attributes Team Player: Excellent interpersonal collaboration skills. Communication: Strong verbal and written communication. Attitude: Possess a Can-Do attitude to overcome challenges with high energy levels. Motivation: Self-motivated, directed, and passionate

Job Title: Junior Data Engineer Job Location: Pune Purpose of the role In the context of the introduction of Oerlikon One Data Platform (ODP), there is a high need for expertise in data engineering (Microsoft environment, Azure Data Factory/Fabric). The purpose of this position is to support the delivery of Data Products, i.e. solutions making data from different sources available for usage. The holder of this position analyzes business requirements, transfers them into solution concepts and implements those on the Microsoft-based cloud data platform under the guidance of senior data engineers and architect(s). Duties & Responsibilities Job holder acts as a first level user support for our BI tools and manages tickets, both solving bugs and managing evolutive maintenance. Besides the operational BI work, job holder will also be involved in BI projects and working on further enhancements of our BI tools. Performs daily system interactive monitoring for ETL loads and eventually fixing the errors. Job holder works in a flexible model (home office and presence model) in shifts for extended CET time zone. Analyze business requirements related to data management and analytics Implement data management solutions, incl. integration, transformation, data modelling and storage on Microsoft Deliver maintenance to developed solutions if necessary Outputs Support and maintenance of data products Data is available for reporting on the expected timeline. Assigned project/changes assigned tasks are completed on time agreeing with the guidelines. Data products following common, good practices Compliance of developed solutions with guidelines, security and data protection requirements Leadership & influence (max. 5, budget, leadership, impact on the organization) Role is crucial for achieving Oerlikon’s ambitious objectives towards data drivenness and digitalization in general Influences directly the quality and speed of delivering data products to the organization Interface, Collaboration, Stakeholders (if applicable with significant impact) Business department representatives providing data requirements Data architect IT security specialists IT infrastructure members SAP CoE members External consultants and representatives of tech provider(s) Required education, experience, knowledge (max. 7, list education, experience, knowledge, or special licenses needed to perform the job.) Bachelor’s or Master’s degree in computer science, information technology or similar Proven track record of at least 3 years of work experience in roles related to data management and analytics. This can include roles such as data engineer, data architect and similar Experienced in multinational and geographically distributed work environments Certification in Microsoft Azure Data Factory and/or Fabric would be a plus Required skills & expertise (max. 9, functional, professional expertise, technological problem-solving) Data Modeling & Design: Understanding of data modeling methodologies and tools in general. Data Technologies: Experience with cloud data platform solutions including data storage, integration tools and frameworks. Cloud Computing: Understanding of general cloud services for data storage, processing, and analytics. Strong analytical skills, a pro-active working style, strong result orientation and a hands-on attitude. Experience in developing and maintaining Power BI dashboards General knowledge in SAP BW on HANA, BW/4HANA, Backend and Frontend would be a plus Proficiency in English (C1 or higher) Oerlikon Success Statements: (follow Oerlikon Success Statement Catalogue ) The Oerlikon Success Statements listed below are applicable to this role and examples of experience to meet these were documented during the interview phase: Be curious Hunt as ONE Oerlikon Team to create customer value Own your task, get empowered and execute in time Take fast conscious decisions and stick to them Be loyal to your stakeholders Passionately drive success in all we do Country-specific disclaimer/legal requirements The statements contained herein reflect general details as necessary to describe the principal functions for this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods or otherwise to balance the workload. Oerlikon is an equal opportunity employer. We support diversity and are committed to creating an inclusive environment for all employees. Preferred candidate profile Bachelor’s or Master’s degree in computer science, information technology or similar Proven track record of at least 3 years of work experience in roles related to data management and analytics. This can include roles such as data engineer, data architect and similar Experienced in multinational and geographically distributed work environments Certification in Microsoft Azure Data Factory and/or Fabric would be a plus