Mastercard is Hiring Data Engineer I in Pune
AI & Data | Pune, Maharashtra
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Job Overview
Mastercard is hiring a Data Engineer I to join its Data & Analytics team in Pune. This opportunity is ideal for early-career data engineering professionals with experience in Python, SQL, Spark, Databricks, Hadoop, Airflow, and cloud technologies who are passionate about building scalable data platforms and analytics solutions.
As a Data Engineer I, you will design and develop data pipelines, build modern data infrastructure, optimize ETL/ELT workflows, and support Mastercard's enterprise Data Lake. You'll collaborate with business stakeholders, analytics teams, and DevOps engineers to create secure, high-performance data solutions that power business intelligence and analytics across the organization.
💡 Why this role?
This role offers excellent exposure to big data technologies, cloud platforms, enterprise data engineering, and large-scale analytics projects within one of the world's leading payment networks.
This opportunity is ideal for candidates searching for:
Key Responsibilities
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Design, develop, and maintain enterprise data infrastructure and scalable ETL/ELT pipelines for Mastercard's internal Data Lake.
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Work with large datasets while ensuring data quality, integration, and high performance across cloud environments.
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Implement best practices for secure data storage, retrieval, archival, and documentation of data lineage.
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Troubleshoot data engineering issues, optimize pipelines for speed, and perform root cause analysis.
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Collaborate with business stakeholders, analytics teams, and DevOps to automate deployment and monitoring.
Eligibility Criteria
Core Competence Required
Candidates must hold a Bachelor's Degree in Computer Science, Engineering, Data Science, or a related discipline with 0.6–1.5 years of experience in Data Engineering, Data Warehousing, or Big Data Projects.
How to Apply
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Confirm you are applying for Job ID: R-287442 (Data Engineer I).
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