Lead Data Engineer
Description For Lead Data Engineer
Qode is seeking a Lead Data Engineer to join their team in a remote capacity. This senior-level position requires an experienced professional with 10+ years in Data Engineering and Data Analysis. The role combines technical expertise in big data technologies, including the Hadoop ecosystem, Python, and Kafka, with leadership responsibilities. The ideal candidate will have strong foundations in database concepts, ETL processes, and modern data architecture. They will be responsible for designing and implementing data solutions while leading technical initiatives and coordinating with stakeholders. The position offers the flexibility of remote work with the opportunity to work with cutting-edge data technologies and AI/ML systems. This role is perfect for a seasoned data engineer looking to take on a leadership position while maintaining hands-on technical involvement in complex data engineering projects.
Responsibilities For Lead 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 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
- 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 is good to have
- 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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