Lead Data Engineer ( Hadoop) - R01549620
Bangalore, Karnataka, India
AI & Data Engineering – AI & Data Engineering : Data Engineering /
Contingent Worker /
Hybrid
Lead Data Engineer
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
