Senior Hadoop Data Engineer

Skills: Engineering,Python,Agile ,HbaseHBase,Apache Spark,Unix,ETL,T-SQL,Github,Progr amming,Data Engineering,Google Cloud Platform,Linux, Scala,Hive, Hadoop,spark,SQL Location: Pune Position/s: 1 Experience: 5 - 8 years Education: Hire by: Apr 6, 2024

Position – Hadoop Data Engineer

Location - Pune

Experience - 5 to 8 years

Must-Have
 

Tech Tech-savvy engineer - willing and able to learn new skills and track industry trends

5-8 years of total experience of solid data engineering experience, especially in Open Source, data-intensive, distributed environments with a minimum 5 years of experience in big data data-relatednologies like Spark, Hive, HBase, Hadoop, etc

Experience in the following technologies – MapReduce, HDFS, YARN, and Spark Streaming

Experience in creating e2e pipelines in Hadoop

Experience in Jenkins, GitHub, Debugging the code, and error handling

Experience working with geographically distributed teams

Work on high- level business and technical problems, contribute to architectural decisions

Create the core framework/ templates that gives a starting point for the team members to get started with implementation/ execution

Role & Responsibilities

Build Data and ETL pipelines in Hadoop

Interact with customers daily to ensure smooth engagement

Responsible for timely and quality deliveries

Fulfil organization responsibilities – Sharing knowledge and experience within the other groups in the organization, conducting various technical sessions and training