Qode
Senior Data Engineer
TLDR
Deliver data engineering projects utilizing Hadoop and Python, focusing on ETL processes and data quality for impactful analytics.
Job Duties :
· 8-10 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.
· 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.
· Preferred Location : Cleveland or Pittsburgh.
· Master's/bachelor’s in computer science or equivalent fields
Qode is a technology-driven platform that transforms how recruiters and candidates connect by leveraging data and automation. Our solutions streamline the hiring process through machine learning, creating private talent pools and automating workflows, ultimately enhancing the quality of candidate evaluation and decision-making. With our no-code tools, we empower organizations to develop tailored recruitment strategies without needing extensive technical skills.
- Industry
- Internet Software & Services
Senior Data Engineer