Big Data


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Need to have
Experience: ​ 0-3 years
Expertise in computer science concepts in following topics,
Data Structures
Databases (RDBMS)
Understanding of SQL queries, capability to build complex SQL queries for provided data science reporting requirements. (join, subqueries, group by aggregations)
Knowledge and coding experience in Core Java. Detailed conceptual understanding of Object-oriented Concepts of Java
Hands on experience in Linux development environment (Sufficient knowledge of Linux shell commands)
Good to have
Knowledge of scripting language (python, shell script)
Knowledge and hands on experience of big data technology toolset (HDFS, YARN, HIVE, OOZIE, SPARK, KAFKA)
Hands on experience of Hive SQL
Knowledge and hands on experience of spark scala coding
We are looking for
A Big Data Engineer that will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company.
Key Responsibilities
Contribute to team building data engineering solution components in area of data ingestion, generic data transformation components, various database connectors
Build end to end data engineering pipeline to build data lakes for terabyte scale data using Hadoop ecosystem components
Selection Process
Send your resume to us at
Shortlisted profiles will hear from us soon.