Lead Data Engineer

Primary Skills
MapReduce, HDFS, Spark - Pyspark, ETL Fundamentals, SQL, SQL (Basic + Advanced), Spark - Scala, Python, Data Warehousing, Hive, Contemporary 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 (Positive 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 : Chance 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

📌 Lead Data Engineer Hadoop 620 Bengaluru
🏢 Nameless
📍 Bengaluru