Lead Data Engineer ( Hadoop) - R01549620

Primary Skills

• MapReduce, HDFS, Spark - Pyspark, ETL Fundamentals, SQL, SQL (Basic + Advanced), Spark - Scala, Python, Data Warehousing, Hive, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures, Oozie

Job requirements

• Primary Skills (Must Have) : Programming language: Python / Java / Scala, Framework: Spark, Hadoop, Declarative language: SQL Secondary Skills (Good to Have) : Databricks , AWS Scope of Work :
• Developing and maintaining Big Data ETL jobs.
• Conducting data analysis and profiling.
• Collaborating with cross-functional teams (e.g., data scientists, business analysts) to align data engineering solutions with business objectives.
• Automating data workflows to increase system efficiency and reduce manual intervention.
• Monitoring, troubleshooting, and optimizing data pipelines to ensure high performance and reliability.
• Ensuring data security and compliance with Mastercard policies and industry standards.

• Role of Resource : Senior Data Engineer Role USP : Opportunity to work on cutting-edge Big Data technologies like Spark, Databricks, Cloud services with a focus on optimizing and scaling data processing pipelines.
• If Domain knowledge required : Banking / Mastercard data knowledge is an added advantage and preferable.

• Experience Range : 5 to 10 years