data analyst

data scientist

2804 - business data analyst Jobs in Pune

2804 - business data analyst

associate engineer

backend engineer

data engineer

Barclays

<div>
 At Barclays, we don&rsquo;t just adapt to the future &ndash; we shape it. Embark on a transformative journey as Senior AWS Data Engineer &ndash; Vice President, where you'll spearhead the evolution of our Reference Data Services function. You will be part of a team of engineers with accountability and responsibility for the engineering (strategy, architecture, design, build, documentation, and testing) of the software components. You will work closely with your colleagues in the wider cloud and middleware organization to bring their products to life as part of a modern developer-focused experience. Additionally, your role requires effective stakeholder management, leadership, and decision-making to support business strategy and risk management.
 
 
 
 To be successful as a Senior AWS Data Engineer &ndash; Vice President, you should have experience with:
 
 
 
 
 <ul>
 <li>
 AWS cloud services such as S3, Glue, Athena, Lake Formation, CloudFormation etc.
 </li>
 <li>
 Python language on senior level for data engineering and automation purposes.
 </li>
 <li>
 ETL frameworks, data transformation and data quality tools.
 
 
 
 </li>
 </ul>
 
 Some Other Highly Valued Skills May Include
 
 
 
 
 <ul>
 <li>
 AWS Data Engineer certification.
 </li>
 <li>
 Previous working experience within banking or financial services domain. Experience with IAM and Permissions management in AWS cloud.
 </li>
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 Experience with Databricks, Snowflake, Starburst, Iceberg.
 
 
 
 </li>
 </ul>
 You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.
 
 
 This role will be based in our Pune, India office.
 
 
 
 Purpose of the role
 
 
 
 To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
 
 
 
 Accountabilities
 
 
 
 
 <ul>
 <li>
 Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
 </li>
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 Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
 </li>
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 Development of processing and analysis algorithms fit for the intended data complexity and volumes.
 </li>
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 Collaboration with data scientist to build and deploy machine learning models.
 
 
 
 </li>
 </ul>
 
 Vice President Expectations
 
 
 
 
 <ul>
 <li>
 To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..
 </li>
 <li>
 If managing a team, they define jobs and responsibilities, planning for the department&rsquo;s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
 </li>
 <li>
 If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L &ndash; Listen and be authentic, E &ndash; Energise and inspire, A &ndash; Align across the enterprise, D &ndash; Develop others..
 </li>
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 OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
 </li>
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 Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
 </li>
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 Manage and mitigate risks through assessment, in support of the control and governance agenda.
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 Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
 </li>
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 Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
 </li>
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 Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
 </li>
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 Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
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 Adopt and include the outcomes of extensive research in problem solving processes.
 </li>
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 Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.
 
 
 
 </li>
 </ul>
 All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship &ndash; our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset &ndash; to Empower, Challenge and Drive &ndash; the operating manual for how we behave.
</div>

Senior AWS Data Engineer – Vice President

PwC India

<div>
 
 
 Skill Set:
 
 
 
 AWS, Snowflake, Kafka, Airflow, GitHub, PySpark
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable ETL/ELT pipelines
 </li>
 <li>
 Ingest data from various sources (APIs, databases, files, etc.)
 </li>
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 Implement both real-time and batch processing solutions based on use case requirements
 </li>
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 Ensure data quality through validation and cleansing processes
 </li>
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 Collaborate with Product Managers and Business Stakeholders to gather and understand data requirements
 </li>
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 Translate business needs into technical specifications
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 Ensure data security, access control, and compliance with relevant policies
 </li>
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 Maintain documentation and follow best practices for data engineering
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 </ul>
 
 
 Ideal candidate profile:
 
 4-8 years of hands-on experience with Snowflake, Airflow and Pyspark in any cloud platform (AWS/Azure/GCP). The candidate should be serving notice with LWD in the next 3 weeks.
 
</div>

Senior Consultant

Quess Corp Limited

<div>
 
 Data Scientist: 4-6Years
 
 
 Analyze complex datasets to uncover patterns, trends, and insights that drive strategic business decisions.
 
 
 Develop predictive models, machine learning algorithms, and statistical analyses to solve business problems and improve campaign or operational performance.
 
 
 Collaborate with business and technical teams to define data science use cases and translate business requirements into analytical solutions.
 
 
 Communicate findings and recommendations through visualizations, presentations, and reports tailored to both technical and non-technical audiences.
 
 
 Work with large volumes of structured and unstructured data using tools such as Python, SAS, SQL, and big data platforms.
 
</div>

Data Scientist

<div>
 
 
 Role: Business Data Analyst
 
 
 
 
 Location: All EXL Location
 
 
 
 
 Experience: 5+
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Engage with stakeholders to gather and document data requirements
 </li>
 <li>
 Perform data mapping and define source-to-target transformations
 </li>
 <li>
 Create and maintain data dictionaries and technical documentation
 </li>
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 Collaborate on the design and layout of data pipelines
 </li>
 <li>
 Support data quality checks
 </li>
 </ul>
 
 
 Required Skills:
 
 
 
 
 
 <ul>
 <li>
 Strong hands-on experience with
 
 SQL and Spark
 
 (Python is a plus)
 </li>
 <li>
 Familiarity with metadata management and ETL concepts
 </li>
 <li>
 Good communication and documentation skills
 </li>
 <li>
 Strong hands-on experience with
 
 Excel
 
 </li>
 <li>
 
 
 Data lineage, Data mapping, Data documentation, Data validations, Data set comparisons.
 
 
 </li>
 </ul>
</div>

2804 - Business Data Analyst

Deutsche Bank

<div>
 
 Position Overview
 
 
 
 
 Job Title:
 
 
 SQL Developer
 
 
 
 
 Location: Pune, India
 
 
 
 
 Corporate Title: AS
 
 
 
 
 Role Description
 
 
 
 <ul>
 <li>
 This role is specifically within the Legal CIO sub-domain for the DExTR programme. The DExTR is an Enterprise Contract Management system to support the legal department in negotiating, drafting, managing and storing their body of contracts. The project objective is to Streamline the creation and amendments of legal documents and Automate contract generation, enrich metadata and enforce data quality through simple Document Assembly technology and Integrate negotiation workflow, document assembly and document automation with standard desktop applications (MS Word, MS Outlook) to enhance the user experience, and streamline user adoption of the application.
 </li>
 <li>
 Deutsche Bank is a client-centric global universal bank. One that is leading change and innovation in the industry &ndash; championing integrity, sustainable performance and innovation with our clients, and redefining our culture and relationships with each other.
 </li>
 <li>
 The CIO Chief Administrative Office (CAO) function brings together the IT services for the Group CAO functions, Human Resources, Legal, and Corporate Communications &amp; CSR.
 </li>
 <li>
 Legal is the Principal Manager of legal risk of the Deutsche Bank Group and guardian of Deutsche Bank Group&rsquo;s culture, integrity and reputation. DB&rsquo;s Legal Department is fully independent from the Business Divisions and has a direct reporting line into the Management Board and not into any Business Division. The Legal CIO department has a broad change portfolio, that is in some cases regulatory driven and therefore visible to Board Level.
 </li>
 <li>
 The Legal department has been undergoing significant business and technology transformation in recent years, covering critical aspects of the departments; Risk Advisory, Litigation, and COO. A range of technology change initiatives are now running, that cover critical topics; Legal Document Management, Reference Data Distribution, Enterprise Legal Management, Spend Analytics, Global Governance, and Contract Management.
 
 
 
 </li>
 </ul>
 
 What We&rsquo;ll Offer You
 
 
 
 As part of our flexible scheme, here are just some of the benefits that you&rsquo;ll enjoy
 
 
 <ul>
 <li>
 Best in class leave policy
 </li>
 <li>
 Gender neutral parental leaves
 </li>
 <li>
 100% reimbursement under childcare assistance benefit (gender neutral)
 </li>
 <li>
 Sponsorship for Industry relevant certifications and education
 </li>
 <li>
 Employee Assistance Program for you and your family members
 </li>
 <li>
 Comprehensive Hospitalization Insurance for you and your dependents
 </li>
 <li>
 Accident and Term life Insurance
 </li>
 <li>
 Complementary Health screening for 35 yrs. and above
 
 
 
 </li>
 </ul>
 
 Your Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, Develop and optimize complex SQL queries, procedures and views for data extraction and transformation.
 </li>
 <li>
 Develop and maintain dashboards and reports to track key performance metrics using advanced analytical tools like Tableau and SAP BO and generate actionable insights.
 </li>
 <li>
 Collaborate with business analysts and stakeholders to understand reporting requirements and translate them into technical solutions.
 </li>
 <li>
 Build and manage Query pipelines and ETL processes as needed for Tableau and SAP BO data sources.
 </li>
 <li>
 Perform Data Validation and quality assurance on SQL Outputs and Visualizations.
 </li>
 <li>
 Troubleshoot and resolve issues related to data inconsistencies, data quality or performance.
 </li>
 <li>
 Support ad-hoc reporting requests and provide documentation to end users.
 
 
 
 </li>
 </ul>
 
 Your Skills And Experience
 
 
 
 <ul>
 <li>
 Strong analytical, problem-solving and communication skills.
 </li>
 <li>
 Extensive experience in SQL development, relational databases (Oracle) and data distribution techniques.
 </li>
 <li>
 Strong understanding of data modelling, normalization and query performance tuning.
 </li>
 <li>
 Hands-on experience in creating data visualization and reports in Tableau and SAP BO.
 </li>
 <li>
 Knowledge on Cloud technologies preferably GCP.
 </li>
 <li>
 Good Knowledge on Java Programming is a plus.
 </li>
 <li>
 Working with Agile methodologies such as Scrum and Kanban.
 </li>
 <li>
 Working experience on version controlling tools like GIT, VCS and cloud Code repository like GitHub/Bitbucket.
 
 
 
 </li>
 </ul>
 
 How We&rsquo;ll Support You
 
 
 
 <ul>
 <li>
 Training and development to help you excel in your career
 </li>
 <li>
 Coaching and support from experts in your team
 </li>
 <li>
 A culture of continuous learning to aid progression
 </li>
 <li>
 A range of flexible benefits that you can tailor to suit your needs
 
 
 
 </li>
 </ul>
 
 About Us And Our Teams
 
 
 
 Please visit our company website for further information:
 
 
 
 https://www.db.com/company/company.htm
 
 
 
 We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
 
 
 Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
 
 
 We welcome applications from all people and promote a positive, fair and inclusive work environment.
</div>

SQL Developer, AS

<div>
 
 Job Reference #
 
 
 318000BR
 
 
 
 Job Type
 
 
 Full Time
 
 
 
 Your role
 
 
 
 <ul>
 <li>
 build advanced statistical models to generate meaningful and actionable insights, improve decision making, optimize the business process, and help address business problems.
 </li>
 <li>
 work on generative ai (genai) models to deliver personalized insights and solutions for clients, financial advisors, and prospects.
 </li>
 <li>
 leverage advanced data science techniques to analyze large datasets and extract actionable insights.
 </li>
 <li>
 collaborate with cross-functional teams to integrate predictive models into wealth management decision-making processes.
 </li>
 <li>
 implement and utilize tools like langchain, langgraph, and vector databases to build scalable, efficient ai-driven solutions.
 
 
 </li>
 </ul>
 
 Your team
 
 
 You will be part of the Data Science STAAT Team, WMA Technology. Our Data Science team is at the heart of DAFP&rsquo;s function to manage and support data science efforts across different business areas.
 
 
 
 Your expertise
 
 
 
 <ul>
 <li>
 bachelor&rsquo;s degree or higher in machine learning, computer science, computational linguistics, mathematics or other relevant technical field from premier institute.
 </li>
 <li>
 strong foundation in probability, statistics, linear algebra, calculus, machine learning and generative ai/llm.
 </li>
 <li>
 expertise in deep learning techniques and applications.
 </li>
 <li>
 strong understanding of generative ai (genai) including math behind the models and its practical implementations.
 </li>
 <li>
 hands-on experience working with large language model apis like azure openai, anthropic etc.. and cloud ecosystems like azure, aws, gcp, databricks
 </li>
 <li>
 proficiency in langchain, langgraph, and working with vector databases for advanced data retrieval and ai workflows.
 </li>
 <li>
 proficiency in python or similar programming languages, with experience in ai/ml libraries and frameworks such as tensorflow, pytorch, or hugging face.
 </li>
 <li>
 knowledge of financial products, including mutual funds, etfs, and client segmentation, is a plus.
 
 
 </li>
 </ul>
 
 About Us
 
 
 UBS is the world&rsquo;s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal &amp; Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors..
 
 
 We have a presence in all major financial centers in more than 50 countries.
 
 
 
 How We Hire
 
 
 
 We may request you to complete one or more assessments during the application process. Learn more
 
 
 
 Join us
 
 
 At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We&rsquo;re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That&rsquo;s why collaboration is at the heart of everything we do. Because together, we&rsquo;re more than ourselves.
 
 
 We&rsquo;re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
 
 
 
 Disclaimer / Policy Statements
 
 
 UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
 
 
 
 Your Career Comeback
 
 
 We are open to applications from career returners. Find out more about our program on ubs.com/careercomeback.
</div>

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for:
 </li>
 <li>
 Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data &amp; incorporating machine learning. techniques in your projects
 </li>
 <li>
 Writing programs to cleanse and integrate data in an efficient and reusable manner
 </li>
 <li>
 Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
 </li>
 <li>
 Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.
 </li>
 <li>
 Evaluating modelling results and communicating the results to technical and non-technical audiences.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
 </li>
 <li>
 Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
 </li>
 <li>
 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
 </li>
 <li>
 Document solution architectures, design decisions, implementation details, and lessons learned.
 </li>
 <li>
 Create technical documentation, white papers, and best practice guides
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.
 </li>
 <li>
 Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms
 </li>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Experience in python and pyspark will be added advantage
 </li>
 </ul>
</div>

Data Scientist-Artificial Intelligence

Explore 61+ Data engineer in Pune this September. Find roles across top companies and apply now to boost your career.

61 data engineer jobs IN Pune

Senior AWS Data Engineer – Vice President

Senior Consultant

Data Scientist

2804 - Business Data Analyst

SQL Developer, AS

Data Scientist

Data Scientist-Artificial Intelligence