Mastercard

FinTech

SeniorAnalyst,BigDataAnalytics&Engineering

₹22–35L ~AI est. Pune, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Analyst, Big Data Analytics & Engineering at Mastercard. Skills: Data platforms, Data engineering, Data pipelines, Data modeling. Partner with data owners. Partner with engineering teams”

Industry & Context.

FinTech
Problems you'll solve

Optimize cost/benefit; Optimize architecture alignment; Identify opportunities for process improvements

What They're Looking For.

Must Have

5+ years of hands-on experience building Data platforms, Proven experience as a hands-on data engineer, Deep understanding and experience with Cloudera Data Platform (CDP), Hands-on experience with PySpark, Experience with Cloudera Data Platform (CDE, CDW, Ozone, Airflow, SDX), Experience with Apache Ranger, Deep understanding of distributed data systems, Deep understanding of Hive Metastore, Experience and understanding of cataloging, Experience and understanding of lineage, Experience and understanding of governance, Experience working with SQL, Experience working with file formats (Iceberg/Parquet), Experience working with partitioning/bucketing strategies, Experience with data lifecycle management, Experience with ingestion, Experience with ETL, Experience with pruning, Experience with modeling, Experience with governance within highly regulated environment, Understanding of SDLC, Experience in establishing processes, Experience in establishing standards, Experience in establishing governance

Nice to Have

Prior experience with financial systems, Experience optimizing their integration into broader data ecosystems, Experience and knowledge of Bit Bucket, Experience and knowledge of Rally, Experience and knowledge of Jenkins, Experience modernizing enterprise finance systems, Experience modernizing regulated environments, Knowledge of CI/CD, Knowledge of data engineering best practices, Understanding of financial data structures, Understanding of accounting processes, Understanding of reconciliation workflows, Experience / understanding Open Data Contract Standard (ODCS) and its implementation

What You'll Do.

Partner with data owners

Partner with engineering teams

Partner with platform teams

Create robust data pipelines

Implement data models

Ensure alignment between business goals and technical execution

Ensure features and solutions meet business requirements

Ensure solutions meet customer needs

Participate in sprint planning

Participate in retrospectives

Participate in agile ceremonies

Adopt best practices in data engineering

Adopt automated code reviews

Adopt continuous integration/continuous delivery (CI/CD)

Optimize cost/benefit of implementing code

Optimize architecture alignment

Ensure operational efficiency

Ensure solutions align with Mastercard’s engineering principles

Ensure solutions align with Mastercard’s data principles

Ensure solutions align with Mastercard’s technical policies

Identify opportunities for process improvements

Enhance team productivity

Stay abreast of Data Platform technology trends

Stay abreast of industry best practices

Hone and maintain talent

Participate in architectural discussions

Participate in iteration planning

Participate in feature sizing meetings

Adhere to Agile processes

Participate actively in agile ceremonies

How You'll Work.

Team & Collaboration

Cross-functional teams; Business/product owners; Technical experts; Data owners; Engineering teams; Platform teams; Agile ceremonies

Process & Methodology

Agile, Sprint planning, Retrospectives, Iteration planning, Feature sizing

Full Job Description

**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 ### Background Mastercard is on a journey to modernize and advance our Finance Technology landscape, covering Billing, Financial Planning, Accounting, Settlement, Treasury, Reporting and Analytics. This position will be responsible for developing and delivering high-impact technology solutions that align with our business and technical objectives. By collaborating with cross-functional teams, including business/product owners and other technical experts, you will ensure that our solutions meet evolving customer needs while improving performance, scalability, and reliability. Responsibilities \- Partnering with data owners, engineering and platform teams to create robust data pipelines, create Data Products, implement data models. \- Ensure alignment between business goals and technical execution, making sure features and solutions meet business requirements and customer needs. \- Participate in sprint planning, retrospectives, and other agile ceremonies to ensure the team is aligned and delivering efficiently. \- Adoption of best practices in data engineering, automated code reviews, testing, and continuous integration/continuous delivery (CI/CD). \- Optimize the cost/benefit of implementing code a certain way, architecture alignment, ensuring scalability, performance, and operational efficiency. \- Ensuring solutions align with Mastercard’s engineering and data principles, and technical

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