Lead Data Engineer
Description For Lead Data Engineer
Qode is seeking a Lead Data Engineer to join their team in Pennsylvania or Ohio. This senior-level position requires an experienced professional with 10+ years in Data Engineering and Analysis. The role combines technical expertise in Hadoop technologies, Python, and Kafka with leadership responsibilities. The ideal candidate will lead ETL development, work directly with clients, and contribute to machine learning and AI initiatives. This position offers an opportunity to work with cutting-edge data technologies while leading technical initiatives in a client-facing role. The role requires both deep technical knowledge and strong communication skills, making it perfect for a senior data engineer looking to take on leadership responsibilities.
Responsibilities For Lead Data Engineer
- Analyzing, designing, and coding ETL programs which involves Data pre-processing, Data Extraction, Data Ingestion, Data Quality, Data Normalization & Data Loading
- Client Facing Roles with good communication & thought leadership skills to co-ordinate deliverables across the SDLC
Requirements For Lead 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 delivering projects in Agile Methodology and hands on in Jira
- 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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