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Senior Data Engineer

Senior Data Engineer

Mastercard

5 - 9 years

10 - 14 Lacs

pune

Posted:6 hours ago| Platform:

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Skills Required

cloudera hive scala sql tuning data warehousing sql plsql java unix shell scripting git spark jenkins hadoop big data data lake netezza python oracle microsoft azure data engineering data bricks pipeline apache nifi scrum agile oracle sql aws unix

Work Mode

Work from Office

Job Type

Full Time

Job Description

ALM Services with Data warehouse skills

The Mastercard Account Level Management platform empowers real-time card level decisioning

As consumers progress along their life stages as card holders, with increasing disposable income and more refined preferences, ALM provides services to issuers so they can effectively offer more relevant benefits and rewards at each stage, to drive loyalty and spend

Role

o Develop high quality, secure and scalable data pipelines using spark, Scala/Python/Java on Hadoop or object storage like MinIO

o Leverage technologies and solutions to innovate with increasingly large data sets

o Drive automation and efficiency in Data ingestion, data movement and data access workflows by innovation and collaboration

o Understand, implement and enforce Software development standards and engineering principles in the Big Data space

o Contribute ideas to help ensure that required standards and processes are in place and actively look for opportunities to enhance standards and improve process efficiency

o Perform assigned tasks and production incident independently

Skill Requirements:

MUST Technical 5-9 years of experience in Data Warehouse/Data Lake/Lake House related projects in product or service-based organization Expertise in Data Engineering and implementing multiple end-to-end DW projects in Big Data environment handling petabyte scale data.
Solid Experience of building complex data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage
Experience of working with Databases like Oracle, Netezza and have strong SQL knowledge.
Proficient in working within an Agile/Scrum framework, including creating user stories with well-defined acceptance criteria, participating in sprint planning and reviews Write and maintain Unix shell scripts, Oracle SQL, PL/SQL, and perform SQL tuning.
Optimize and troubleshoot Spark applications for performance, scalability, and fault tolerance Use Git-based version control systems and CI/CD pipelines (e.g., Jenkins).
Implement and manage HIVE external tables, partitions, and various file formats. Work across on-premises and cloud environments (AWS, Azure, Databricks).
Strong experience with Hadoop ecosystem and Cloudera Data Platform (CDP).
Optional Technical Experience of building Nifi pipelines (Preferred)
Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan Strong communication skills - both verbal and written Ability to multi-task across multiple projects, interface with external / internal resources Proactive, detail-oriented and able to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results Willingness to quickly learn and implement new technologies, participate POC to explore best solution for the problem statement
Experience working diverse and geographically distributed project teams
Education:
Bachelors degree in information systems, Information Technology, Computer Science or Engineering or equivalent work experience.

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Senior Data Engineer