Data Engineer

qode.world

full-time

Posted on: 9/1/2025

Location: Ohio, Pennsylvania • 🇺🇸 United States

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Mid-LevelSenior

AWSETLHadoopHBaseHDFSKafkaPySparkPythonScalaSDLCSpark

About the role

Job Title: Data Engineer
Location: Cleveland OH, Pittsburgh PA or Dallas TX
Duration: Full-time
Domain: Banking
Skill to be focused: Python, Spark, and Hadoop
Job duties include analyzing, designing, and coding ETL programs; data pre-processing, extraction, ingestion, quality, normalization and loading; delivering projects in Agile and coordinating across SDLC.

6-7+ Years experience working in Data Engineering and Data Analysis.
Hands on Experience in Hadoop Stack of Technologies (Hadoop, PySpark, 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 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.