Data Engineer
Compensation
$Not specified
Responsibilities
The Data Engineer will analyze, design, and code ETL programs involving data pre-processing, extraction, ingestion, quality, normalization, and loading. The role requires delivering projects in Agile methodology and coordinating deliverables across the software development lifecycle.
Requirements
Candidates should have 6+ years of experience in data engineering with hands-on experience in Hadoop technologies and Python. A good understanding of database concepts, data design, and machine learning models is preferred.
Full Description
6+ Years experience working in Data Engineer. Hands on Experience in Hadoop Stack of Technologies ( Hadoop ,Spark, HBase, Hive , Pig , Sqoop, Scala ,Flume, HDFS , Map Reduce). Hands on experience with Python & Kafka . Good understanding of Database concepts , Data Design , Data Modeling and ETL. Hands on in analyzing, designing, and coding ETL programs which involves Data pre-processing , Data Extraction , Data Ingestion , Data Quality ,Data Normalization & Data Loading. Working experience in delivering projects in Agile Methodology and hands on in Jira. Experience in Client Facing Roles with good communication & thought leadership skills to co-ordinate deliverables across the SDLC . Good Understanding of Teradata & Informatica . Good understanding of Machine Learning Models and Artificial Intelligence preferred. Good understanding of Data Components , Data Processing & Data Analytics on AWS is good to have . Experience with data modeling tools like Erwin is good to have.
This job posting was last updated on 8/30/2025
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