Lead Data Engineer - Big Data
Compunnel
- Atlanta, Georgia, United States
- Atlanta, Georgia, United States
À propos
Key Responsibilities
Design, architect, and maintain cloud-based data pipelines to process and curate large-scale enterprise data
Establish best practices for cloud-based data analytics technologies to analyze high-volume manufacturing and financial data
Lead end-to-end delivery of data-driven and big data solutions
Act as a liaison between business units and technical teams to gather, analyze, and translate requirements
Support business analysts by enabling enterprise-wide reporting and analytics for leadership
Guide teams on efficient data and resource management using cloud-based platforms and services
Provide technical leadership and hands‑on contribution within cross‑functional teams of data engineers and analysts
Participate in the full Agile SDLC including design, development, unit testing, and peer reviews
Required Skills
8–10 years of strong hands‑on Data Engineering experience
Experience working as a Subject Matter Expert (SME)
Hands‑on experience with Palantir Foundry for designing and implementing scalable data solutions
Strong experience with Hadoop ecosystem technologies such as Hive and PySpark
Proficiency in Python or Java
Solid understanding and practical experience with ETL concepts and at least one ETL technology
Experience with cloud-based data platforms and services
Strong experience with NoSQL databases (HBase, MongoDB, etc.)
Strong experience with relational databases (SQL Server, Oracle, MySQL, etc.)
Experience with source control systems, specifically Git
Strong analytical, critical thinking, and problem‑solving skills
Excellent communication skills for both technical and non‑technical audiences
Education Bachelor’s degree in Computer Science or a related field
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Compétences linguistiques
- English
Avis aux utilisateurs
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