Senior Data Engineer
Job Description
Qode is seeking a Senior Data Engineer to join their team in multiple locations across the United States. This role requires an experienced professional with 10+ years in Data Engineering and Analysis, focusing on building and maintaining robust data infrastructure. The ideal candidate will have extensive experience with the Hadoop ecosystem, Python, Kafka, and ETL processes. They will be responsible for designing and implementing data solutions, working with machine learning models, and coordinating with stakeholders across the organization. The position offers a hybrid work arrangement and requires strong technical skills combined with excellent communication abilities. This is an opportunity to work on complex data engineering challenges while contributing to the company's data-driven decision-making processes.
Responsibilities For Senior Data Engineer
- Analyzing, designing, and coding ETL programs
- Data pre-processing, Data Extraction, Data Ingestion
- Data Quality, Data Normalization & Data Loading
- Co-ordinate deliverables across the SDLC
Requirements For Senior Data Engineer
- 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
- Working experience in Agile Methodology and hands on in Jira
- Experience in Client Facing Roles with good communication & thought leadership skills
- Good understanding of Machine Learning Models and Artificial Intelligence preferred
- Good understanding of Data Components, Data Processing & Data Analytics on AWS
- Experience with data modeling tools like Erwin is good to have
- Master's/bachelor's in computer science or equivalent fields
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