8,287 Big Data jobs in India

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Senior Analyst, Big Data Analytics & Engineering
Job Title: Senior Analyst, Value Enablement & Optimization
Job Summary
The Senior Analyst, Value Enablement & Optimization, will lead the development of data-driven frameworks, tools, and strategies that enhance value delivery across Pricing, Pre-Sales Enablement, and Customer Success. This role combines strategic thinking with technical expertise, requiring proficiency in advanced analytics, business intelligence, and automation to support scalable solutions that align with Mastercard's growth objectives. The ideal candidate is a technically skilled, innovative, and collaborative problem solver with a passion for delivering impactful insights that drive customer and revenue success.
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Key Responsibilities
Strategic Support
- Design and implement value enablement frameworks for Pricing, Pre-Sales Enablement, and Customer Success, aligning with Mastercard's growth strategies.
- Collaborate with global and regional stakeholders to ensure scalable solutions tailored to regional needs.
- Provide data-driven recommendations to optimize pricing, enhance pre-sales propositions, and ensure customer success.
- Develop project structures/frameworks and build/review presentations.
- Conduct data sanity and hygiene checks to ensure data integrity.
- Convert business problems into analytical problems for strategic development.
Technical Leadership
- Develop and deploy advanced analytics tools like ROI calculators and value dashboards.
- Use Python, R, and SQL for data analysis, modeling, and tool development.
- Create dynamic dashboards and visualizations using business intelligence platforms.
- Integrate AI/ML models to enhance tool accuracy and efficiency.
- Drive process efficiency and scalability through automation and advanced analytics.
Value Enablement Initiatives
- Build frameworks to measure and track customer value realization.
- Design tailored customer solutions and business cases with predictive models and real-time insights.
- Develop self-service analytics tools for actionable insights.
- Encourage participation in Sandbox challenges and keep regular brainstorming sessions for new ideas.
- Build agile and flexible solutions by understanding core business and context.
Revenue Optimization
- Identify and implement revenue optimization opportunities through strategic analysis.
- Monitor performance metrics to align with revenue goals and identify improvement areas.
- Develop tools to track realized ROI and provide diagnostics for customer outcomes.
Collaboration & Team Enablement
- Work closely with cross-functional teams to ensure seamless initiative execution.
- Foster a collaborative and innovative environment, encouraging knowledge sharing.
- Plan and lead working sessions with the team.
- Provide mentorship and feedback for personal and professional growth.
- Support training and enablement for internal teams on analytics tools and methodologies.
Stakeholder Management
- Create and implement roadmaps for strategic initiatives.
- Manage regular connects and alignment with stakeholders, handling escalations effectively.
- Plan and articulate standups, agendas, action items, and next steps.
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Qualifications
Experience
- 5+ years of experience in analytics, data science, pricing strategy, customer success, or related roles, ideally in the payments, financial services, or technology sectors.
- Proven track record of developing and scaling data-driven tools and frameworks with measurable outcomes.
- Expertise in programming (Python, R, SQL) and experience building scalable analytics solutions.
- Proficiency in business intelligence tools (e.g., Tableau, Power BI) for creating dashboards and data visualizations.
- Experience integrating AI/ML models to drive predictive insights and automate workflows is a strong advantage.
Skills
- Strong technical acumen with the ability to design and implement advanced analytics and visualization solutions.
- Exceptional analytical and problem-solving skills, with a focus on deriving actionable insights from complex datasets.
- Excellent communication and stakeholder management skills, with the ability to translate technical insights into business impact.
- Deep understanding of pricing strategies, customer success enablement, and revenue optimization principles.
Education
- Bachelor's degree in Data Science, Computer Science, Business Analytics, Economics, Finance, or a related field. Advanced degrees or certifications in analytics, data science, or AI/ML are preferred.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

**Big Data AI/ML Engineer**

**Experience**: 6 to 9 Yrs
**Location**:Remote
**Tenure:

- **6 Months
**Salary:

- ** 80K-90K In hand
**Notice**:Immediate Joiner

We are seeking a talented Data Engineer with AI & ML knowledge to join our team. As Data Engineer or ML Ops Engineer, your primary responsibility will be to develop & integrate ML solutions that focus on technology improvements. Specifically, you will be working on projects involving leveraging AI/ML for Data Management Efficiencies & Query Optimizations.

**Responsibilities**:

- Collaborate with cross-functional teams such as Data Scientists, Product Partners and Partner Team Developers to identify oppurtunities for Big Data, Query (Spark, Hive SQL, BigQuery, SQL) tuning opportunities that can be solved using machine learning and generative AI.
- Write clean, high-performance, high-quality, maintainable code.
- Design and develop Big Data Engineering Solutions & generative AI Applications for above ensuring scalability, efficiency, and maintainability of such solutions.
- Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications.

**Requirements**:

- A Master's or Ph.D. degree in Computer Science or a related field.
- Proven experience working as a Big Data & MLOps Engineer, with a focus on Python, Google Cloud, Spark, Spark SQL, BigQuery and Generative AI Applications.
- Deep understanding and experience in tuning Dataproc, BigQuery, Spark Applications.
- Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.
- Experience with large language models (LLMs) & prompt engineering techniques, vector DB's ( Nice to have )
- Strong communication skills to effectively collaborate and present findings to both technical and non-technical stakeholders.
- Proven ability to adapt and learn new technologies and frameworks quickly.
- A proactive mindset with a passion for continuous learning and research.

**Job Types**: Full-time, Temporary
Contract length: 6 months

Pay: ₹80,000.00 - ₹90,000.00 per month

Schedule:

- Day shift
- Monday to Friday

**Education**:

- Master's (required)

**Experience**:

- total work: 9 years (required)
- Data Engineer: 7 years (required)
- AI & ML: 4 years (required)
- Google Cloud: 4 years (preferred)
- large language models (LMM): 4 years (preferred)
- Big Data & MLOps Engineer: 4 years (preferred)

Work Location: Remote

Our client is seeking a highly analytical and experienced Senior Data Scientist to lead their Big Data Analytics initiatives in **Hyderabad, Telangana, IN**. This role is crucial for extracting actionable insights from large, complex datasets, driving data-informed decision-making, and developing predictive models that impact business strategy. You will work with cutting-edge technologies in a collaborative environment, tackling challenging problems across various business domains. The ideal candidate will possess a strong background in statistical modeling, machine learning, data mining, and proficiency with big data technologies like Hadoop and Spark. Responsibilities include: Designing and implementing advanced analytical models and algorithms; Analyzing large datasets to identify trends, patterns, and actionable insights; Developing predictive models for forecasting, customer behavior analysis, and risk assessment; Collaborating with business stakeholders to define analytical requirements and deliver impactful solutions; Creating data visualizations and dashboards to communicate findings effectively; Ensuring data quality and integrity throughout the analytical process; Staying up-to-date with the latest advancements in data science and big data technologies; Mentoring junior data scientists and contributing to the team's technical growth. Qualifications: Master's or Ph.D. in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field; Minimum of 5 years of experience in data science, with a focus on big data analytics; Strong programming skills in Python or R, and SQL; Experience with big data platforms (e.g., Hadoop, Spark, Hive); Proficiency with data visualization tools (e.g., Tableau, Power BI) and machine learning libraries; Excellent problem-solving, critical thinking, and communication skills. This hybrid position offers a dynamic work environment in **Hyderabad, Telangana, IN**, with the flexibility to balance remote work and in-office collaboration.

The Applications Development Senior Programmer/Lead Analyst is an senior level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.
**Responsibilities:**
+ Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
+ Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
+ Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
+ Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
+ Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
+ Ensure essential procedures are followed and help define operating standards and processes
+ Serve as advisor or coach to new or lower level analysts
+ Has the ability to operate with a limited level of direct supervision.
+ Can exercise independence of judgement and autonomy.
+ Acts as SME to senior stakeholders and /or other team members.
+ Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
**Core Responsibilities**
This role is for a Data Engineering Lead to work on the Vanguard Big Data Platform. The team is responsible for the maintenance and development of leading Big Data initiatives and use cases providing business value.
+ Interface with product teams to understand their requirements to build the ingestion pipelines and conformance layer for consumption by business.
+ Work closely with the data ingestion team to track the requirements and drive the build out of the canonical models
+ Provide guidance to the data conformance team for implementing the requirements/changes/enhancements to the conformance model
+ Do hands-on development as part of the conformance team to deliver the business requirements
+ Manage the workload of the team and the scrum process to align it with the objectives and priorities of the product owners
+ Participate in data management activities related to the Risk and Regulatory requirements as needed.
**Core Skills**
The Data Engineering Senior Programmer will be working very closely with a team of data engineers working on our Big Data Platform. The Senior Developer will need the below core skills -
+ Strong solid understanding of the Big Data architecture and the ability to trouble shoot performance and/or development issues on Hadoop (Cloudera preferably)
+ 9+ years of experience working with Hive, Impala and Hbase, Kudu Spark for data curation/conformance related work
+ Strong proficiency in Spark for development work related to curation/conformance. Strong Scala developer (with previous Java background) preferred.
+ Experience with Spark/Storm/Kafka or equivalent streaming/batch processing and event based messaging
+ Strong data analysis skills and the ability to slice and dice the data as needed for business reporting
+ Experience working in an agile environment with a fast paced changing requirements.
+ Excellent planning and organizational skills
+ Strong Communication skills
**Additional Requirements (good to have)**
+ **Cloudera/Hortonworks/AWS** **EMR, Couchbase, S3 experience a plus**
+ **Experience with the AWS or GCP tech stack components**
+ **Relational and NoSQL database integration and data distribution principles experience**
+ **Experience with API development and use of JSON/XML/Hypermedia data formats**
+ Analysis and development across Lines of business including Payments, Digital Channels, Liquidities, Trade, Client Experience
+ Cross train and fertilize functional and technical knowledge,
+ Align to Engineering Excellence Development principles and standards.
+ Promote and increase our Development Productivity scores for coding
+ Fully adhere to and evangelize a full Continuous Integration and Continuous Deploy pipeline
+ Experience in systems analysis and programming of software applications
+ Experience in managing and implementing successful projects
+ Working knowledge of consulting/project management techniques/methods
+ Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
**Education:**
+ Bachelor's degree/University degree or equivalent experience
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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**Job Family Group:**
Technology
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**Job Family:**
Applications Development
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**Time Type:**
Full time
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**Most Relevant Skills**
Please see the requirements listed above.
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**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
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_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

Primary Responsibilities:

• Analyzes and investigates
• Provides explanations and interpretations within area of expertise
• Participate in scrum process and deliver stories/features according to the schedule
• Collaborate with team, architects and product stakeholders to understand the scope and design of a deliverable
• Participate in product support activities as needed by the team.
• Understand product architecture, features being built and come up with product improvement ideas and POCs
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Qualifications -

Required Qualifications:

• Undergraduate degree or equivalent experience
• Proven experience using Bigdata tech stack
• Sound knowledge on Java and Spring framework with good exposure to Spring Batch, Spring Data, Spring Web services, Python
• Proficient with Bigdata ecosystem (Sqoop, Spark, Hadoop, Hive, HBase)
• Proficient with Unix/Linux eco systems and shell scripting skills
• Proven Java, Kafka, Spark, Big Data, Azure ,analytical and problem solving skills
• Proven solid analytical and communication skills

Primary Responsibilities:
Analyzes and investigates
Provides explanations and interpretations within area of expertise
Participate in scrum process and deliver stories/features according to the schedule
Collaborate with team, architects and product stakeholders to understand the scope and design of a deliverable
Participate in product support activities as needed by the team.
Understand product architecture, features being built and come up with product improvement ideas and POCs
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Qualifications -
Required Qualifications:
Undergraduate degree or equivalent experience
Proven experience using Bigdata tech stack
Sound knowledge on Java and Spring framework with good exposure to Spring Batch, Spring Data, Spring Web services, Python
Proficient with Bigdata ecosystem (Sqoop, Spark, Hadoop, Hive, HBase)
Proficient with Unix/Linux eco systems and shell scripting skills
Proven Java, Kafka, Spark, Big Data, Azure ,analytical and problem solving skills
Proven solid analytical and communication skills

Primary Responsibilities:Analyzes and investigatesProvides explanations and interpretations within area of expertiseParticipate in scrum process and deliver stories/features according to the scheduleCollaborate with team, architects and product stakeholders to understand the scope and design of a deliverableParticipate in product support activities as needed by the team.Understand product architecture, features being built and come up with product improvement ideas and POCsComply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do soQualifications - Required Qualifications:Undergraduate degree or equivalent experienceProven experience using Bigdata tech stackSound knowledge on Java and Spring framework with good exposure to Spring Batch, Spring Data, Spring Web services, PythonProficient with Bigdata ecosystem (Sqoop, Spark, Hadoop, Hive, HBase)Proficient with Unix/Linux eco systems and shell scripting skillsProven Java, Kafka, Spark, Big Data, Azure ,analytical and problem solving skillsProven solid analytical and communication skills

Primary Responsibilities:

• Analyzes and investigates
• Provides explanations and interpretations within area of expertise
• Participate in scrum process and deliver stories/features according to the schedule
• Collaborate with team, architects and product stakeholders to understand the scope and design of a deliverable
• Participate in product support activities as needed by the team.
• Understand product architecture, features being built and come up with product improvement ideas and POCs
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Qualifications -

Required Qualifications:

• Undergraduate degree or equivalent experience
• Proven experience using Bigdata tech stack
• Sound knowledge on Java and Spring framework with good exposure to Spring Batch, Spring Data, Spring Web services, Python
• Proficient with Bigdata ecosystem (Sqoop, Spark, Hadoop, Hive, HBase)
• Proficient with Unix/Linux eco systems and shell scripting skills
• Proven Java, Kafka, Spark, Big Data, Azure ,analytical and problem solving skills
• Proven solid analytical and communication skills