Job Description :
Data Engineer:

Job Responsibilities:

Design and Build distributed, scalable, and reliable data pipelines that ingest and process data at scale and in real-time.
Data Analysis and Data exploration
Explore new data sources and data from new domains
Productionalize real time/Batch ML models on Python/Spark
Evaluate big data technologies and prototype solutions to improve our data processing architecture.
Candidate Profile:

8+ years of hands-on programming experience with 4+ years in Hadoop platform
Proficiency in data analysis and strong SQL skills.
Knowledge of various components of Hadoop ecosystem and experience in applying them to practical problems – Hive/Impala/Spark/MR.
Proficiency with shell scripting & Python
Experience in data warehousing, ETL tools , MPP database systems
Experience working in HIVE & Impala & creating custom UDFs and custom input/output formats /serdes
Ability to acquire, compute, store and process various types of datasets in Hadoop platform
Understanding of various Visualization platforms (Tableau)
Experience with Java or Scala.
Excellent written and verbal communication skills
Top skill sets / technologies:

SQL
Hive/(Talend or Pentaho or Informatica or similar ETL) /Impala/MapReduce/Spark
Unix
Java / Python / Scala
ETL /Data warehousing
RDBMS/Data Modelling
Tableau/Qlikview