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Lead Data Engineer

Mastercard · Pune

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Job type and experience labels are automated discovery categories. The employer determines eligibility. Retained employer experience wording: 10-12 years.

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Collected role description

requirement analysis, solution design, coding, testing, deployment, and production support. • Mentor and guide junior engineers through code reviews, technical coaching, and engineering best practices. • Partner with product owners, analysts, architects, and business stakeholders to deliver high-quality solutions within committed timelines. Operational Excellence • Troubleshoot complex production incidents and perform root cause analysis to identify and implement long-term remediation strategies. • Ensure compliance with Mastercard's engineering, security, quality assurance, and operational governance standards. • Continuously identify opportunities to improve performance, automation, monitoring, and process efficiency. Innovation • Evaluate emerging data technologies and conduct proof-of-concept (POC) initiatives to determine their applicability within Mastercard's data ecosystem. • Contribute to engineering innovation and continuous improvement initiatives across the organisation. All About You: Required Experience • 10-12 years of experience delivering enterprise-scale Data Warehouse, Data Lake, or Data Lakehouse solutions. • Proven experience implementing multiple end-to-end data engineering projects within large-scale distributed computing environments. • Hands-on experience migrating ETL and analytics workloads from on-premises platforms to cloud-native environments. Technical Expertise • Strong development experience using:Apache Spark, Scala or Java, Hadoop ecosystem technologies, Object Storage platforms • Experience building orchestration and workflow solutions using: Apache Airflow/ Apache Ni Fi and Similar enterprise scheduling frameworks • Strong SQL expertise and experience with Relational and No SQL database technologies: Oracle/ SQL Server, Cassandra, Dynamo DB etc. • Working knowledge of cloud platforms, preferably AWS: Amazon S3, EMR, AWS Glue, Cloud-native data services Professional Skills • Strong analytical and problem-solving capabilities. • Experience operating within Agile delivery environments. • Excellent written and verbal communication skills. • Proven ability to collaborate within geographically distributed and matrix-based teams. • Self-starter with strong ownership, accountability, and execution focus. • Ability to learn emerging technologies quickly and apply them effectively to business challenges. 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. Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.

Collected experience requirement

10-12 years