11+ Data steward Jobs in Pune | Data steward Job openings in Pune

1. Data Steward :

Data Steward will collaborate and work closely within the group software engineering and business division. Data Steward has overall accountability for the group's / Divisions overall data and reporting posture by responsibly managing data assets, data lineage, and data access, supporting sound data analysis. This role requires focus on data strategy, execution, and support for projects, programs, application enhancements, and production data fixes. Makes well-thought-out decisions on complex or ambiguous data issues and establishes the data stewardship and information management strategy and direction for the group. Effectively communicates to individuals at various levels of the technical and business communities. This individual will become part of the corporate Data Quality and Data management/entity resolution team supporting various systems across the board.

Primary Responsibilities:

• Responsible for data quality and data accuracy across all group/division delivery initiatives.
• Responsible for data analysis, data profiling, data modeling, and data mapping capabilities.
• Responsible for reviewing and governing data queries and DML.
• Accountable for the assessment, delivery, quality, accuracy, and tracking of any production data fixes.
• Accountable for the performance, quality, and alignment to requirements for all data query design and development.
• Responsible for defining standards and best practices for data analysis, modeling, and queries.
• Responsible for understanding end-to-end data flows and identifying data dependencies in support of delivery, release, and change management.
• Responsible for the development and maintenance of an enterprise data dictionary that is aligned to data assets and the business glossary for the group responsible for the definition and maintenance of the group's data landscape including overlays with the technology landscape, end-to-end data flow/transformations, and data lineage.
• Responsible for rationalizing the group's reporting posture through the definition and maintenance of a reporting strategy and roadmap.
• Partners with the data governance team to ensure data solutions adhere to the organization’s data principles and guidelines.
• Owns group's data assets including reports, data warehouse, etc.
• Understand customer business use cases and be able to translate them to technical specifications and vision on how to implement a solution.
• Accountable for defining the performance tuning needs for all group data assets and managing the implementation of those requirements within the context of group initiatives as well as steady-state production.
• Partners with others in test data management and masking strategies and the creation of a reusable test data repository.
• Responsible for solving data-related issues and communicating resolutions with other solution domains.
• Actively and consistently support all efforts to simplify and enhance the Clinical Trial Predication use cases.
• Apply knowledge in analytic and statistical algorithms to help customers explore methods to improve their business.
• Contribute toward analytical research projects through all stages including concept formulation, determination of appropriate statistical methodology, data manipulation, research evaluation, and final research report.
• Visualize and report data findings creatively in a variety of visual formats that appropriately provide insight to the stakeholders.
• Achieve defined project goals within customer deadlines; proactively communicate status and escalate issues as needed.

Additional Responsibilities:

• Strong understanding of the Software Development Life Cycle (SDLC) with Agile Methodologies
• Knowledge and understanding of industry-standard/best practices requirements gathering methodologies.
• Knowledge and understanding of Information Technology systems and software development.
• Experience with data modeling and test data management tools.
• Experience in the data integration project • Good problem solving & decision-making skills.
• Good communication skills within the team, site, and with the customer

Knowledge, Skills and Abilities

• Technical expertise in data architecture principles and design aspects of various DBMS and reporting concepts.
• Solid understanding of key DBMS platforms like SQL Server, Azure SQL
• Results-oriented, diligent, and works with a sense of urgency. Assertive, responsible for his/her own work (self-directed), have a strong affinity for defining work in deliverables, and be willing to commit to deadlines.
• Experience in MDM tools like MS DQ, SAS DM Studio, Tamr, Profisee, Reltio etc.
• Experience in Report and Dashboard development
• Statistical and Machine Learning models
• Python (sklearn, numpy, pandas, genism)
• Nice to Have:
• 1yr of ETL experience
• Natural Language Processing
• Neural networks and Deep learning
• xperience in keras,tensorflow,spacy, nltk, LightGBM python library

Interaction :  Frequently interacts with subordinate supervisors.

Education : Bachelor’s degree, preferably in Computer Science, B.E or other quantitative field related to the area of assignment. Professional certification related to the area of assignment may be required

Experience :  7 years of Pharmaceutical /Biotech/life sciences experience, 5 years of Clinical Trials experience and knowledge, Excellent Documentation, Communication, and Presentation Skills including PowerPoint

Job Title : Senior Backend Engineer – Java, AI & Automation

Experience : 4+ Years

Location : Any Cognizant location (India)

Work Mode : Hybrid

Interview Rounds :

1. Virtual
2. Face-to-Face (In-person)

Job Description :

Join our Backend Engineering team to design and maintain services on the Intuit Data Exchange (IDX) platform.

You'll work on scalable backend systems powering millions of daily transactions across Intuit products.

Key Qualifications :

• 4+ years of backend development experience.
• Strong in Java, Spring framework.
• Experience with microservices, databases, and web applications.
• Proficient in AWS and cloud-based systems.
• Exposure to AI and automation tools (Workato preferred).
• Python development experience.
• Strong communication skills.
• Comfortable with occasional US shift overlap.

Looking for an experienced Product Manager to work in abroad countries who is passionate about building products that customers love. You will join a dynamic and fast-paced environment and work with cross-functional teams to design, build and roll-out products that deliver the company’s vision and strategy.

Key Responsibilities:

Product Strategy and Vision:

• Develop and communicate a product vision and strategy aligned with the company's overall business objectives.
• Conduct market research, gather customer feedback, and analyze trends to inform the product roadmap.
• Define product goals and key performance indicators (KPIs) to track success.

Product Roadmap:

• Create and maintain a detailed product roadmap, setting priorities based on customer needs, business goals, and resource constraints.
• Balance short-term needs with long-term vision and strategic goals.

Cross-functional Collaboration:

• Work closely with engineering, design, and marketing teams to ensure successful product development and launch.
• Facilitate communication between stakeholders, ensuring everyone is aligned on product requirements, timelines, and goals.

Product Development:

• Write clear and actionable product requirements (PRDs) and user stories.
• Define features, prioritize enhancements, and manage the product backlog.
• Ensure the product development process is efficient and follows Agile or other relevant methodologies.

Customer Focus:

• Conduct user research, surveys, and interviews to understand customer pain points and gather feedback.
• Analyze data and product usage to identify opportunities for improvement or new features.
• Develop customer personas and use cases to guide product decisions.

Go-to-Market Strategy:

• Work with the marketing and sales teams to create product launch strategies, including pricing, messaging, and promotional campaigns.
• Train internal teams on product features and benefits to support successful product adoption.

Lifecycle Management:

• Oversee the product's life cycle, from ideation and design through to release, iteration, and eventual retirement.
• Monitor product performance, gather user feedback, and drive continuous improvement.

Stakeholder Management:

• Serve as the primary point of contact for product-related queries across the organization.
• Present product updates, progress, and results to senior leadership and stakeholders.

Data Integration Developer Role

Responsibilities:

§ As a Data Integration Developer/Sr Developer, be hands-on ETL/ELT data pipelines, Snowflake DWH, CI/CD deployment Pipelines and data-readiness(data quality) design, development, implementation and address code or data issues.

§ Experience in designing and implementing modern data pipelines for a variety of data sets which includes internal/external data sources, complex relationships, various data formats and high-volume.

§ Experience and understanding of ETL Job performance techniques, Exception handling,

Query performance tuning/optimizations and data loads meeting the runtime/schedule time SLAs both batch and real-time data uses cases.

§ Demonstrated ability to rationalize problems and use judgment and innovation to define clear and concise solutions.

§ Demonstrate strong collaborative experience across regions (APAC,EMEA and NA) to come up with design standards, High level design solutions document, cross training and resource onboarding activities.

§ Good understanding of SDLC process, Governance clearance, Peer Code reviews, Unit Test Results, Code deployments, Code Security Scanning, Confluence Jira/Kanban stories.

§ Strong attention to detail during root cause analysis, SQL query debugging and defect issue resolution by working with multiple business/IT stakeholders.

Educational Qualifications:

BTech in Computer Science or other technical course of study required.

Experience:

§ A minimum of 4-10 years of experience into data integration/orchestration services, service architecture and providing data driven solutions for client requirements

§ Experience on Microsoft Azure cloud and Snowflake SQL, database query/performance tuning.

§ Experience with Qlik Replicate and Compose tools(Change Data Capture) tools is considered a plus

§ Strong Data warehousing Concepts, ETL tools such as Talend Cloud Data Integration tool is must

§ Exposure to the financial domain knowledge is considered a plus.

§ Cloud Managed Services such as source control code Github, MS Azure/Devops is considered a plus.

§ Prior experience with State Street and Charles River Development ( CRD) considered a plus.

§ Experience in tools such as Visio, PowerPoint, Excel.

§ Exposure to Third party data providers such as Bloomberg, Reuters, MSCI and other Rating agencies is a plus.

§ Strong SQL knowledge and debugging skills is a must.

Novolytics is a novel Analytics Company which is trying to solve the problems of manufactures and machine asset owners. Predictive maintenance is going to be a huge part of Factory 2.0, which will allow manufacturers to keep machine downtime to minimum, boosting productivity and reducing losses due to down time. 

Novolytics is building a platform which would collect signal data, analyze and predict which machines need maintenance or are showing signs of wear. Currently our platform is being piloted for one of India's largest car manufacturers, to solve for vehicle maintenance and servicing based on car sounds.

Responsibilities:

• Work with development teams and stakeholders to create Full stack web applications
• Design client-side and server-side architecture for scale
• Design and manage the data models on various storage systems including databases, data warehouse and cloud object storage systems 
• Troubleshoot, debug and manage the applications using logging and dashboarding tools.
• Create security and data protection standards to ensure data security and integrity
• Work with the management and data to improve software

Qualifications:

• BE/BTech in Computer Science with at least 2 years of experience.
• Experience with Javascript stack, NodeJS (with Express JS) for backend and ReactJS for frontend
• Understanding and ability to create Restful APIs
• Experience with Database development (MySQL, Postgres, etc) including schema design and query optimization. 
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, jQuery)
• Experience of mobile app development on Flutter is a plus 
• Knowledge of data structures & algorithms and should know when to use them.
• Familiarity with Web Servers (e.g. Apache) and networking among servers.   
• Experience with AWS or other cloud environments is an advantage.
• Understanding of design patterns and unit testing

• 1+ year of experience
• Full responsibility for designing and building core back-end modules and system architectures.
• Good understanding of database concepts.
• Experience with at least two programming languages (PHP & GoLang).
• Experience in creating at least one web application.
• Knowledge of MySQL in-depth and basic understanding of MongoDB along with basic understanding about different paradigms of programming.
• Ability to interact and coordinate with a team.
• Should have a basic understanding of APIs.
• Modify code in time to keep code dry and reusable.
• Should have worked in at least one framework in the backend.
• A background in Software Architecture would be preferred.

• Develop data-driven web solutions on PHP frameworks (ideally CakePHP), but be undeterred when the need arises to create an application from the ground up as required, maintain, contribute and adhere to our programming best practices and guidelines.
• Work with a team of UI designers, programmers, and server admins, to bring brand new concepts to the market.
• Help improve our code quality through writing unit tests, automation and performing code reviews.
• Immediate Joiner

• Oversee the sales process to attract new clients.
• Work with senior team members to identify and manage risks.
• Maintain fruitful relationships with clients and address their needs effectively.
• Research and identify new market opportunities.
• Prepare and deliver pitches to potential investors.
• Foster a collaborative environment within the organization