Senior Data Engineering Lead in Analytics
Summary
The Senior Data Engineering Lead will design and implement scalable data architectures and lead engineering projects using SQL, Spark, and cloud platforms like Azure or AWS. This role focuses on driving enterprise analytics and AI solutions through technical leadership and team collaboration.
Join our innovative team as a Senior Data Engineering Lead, responsible for building scalable data solutions for enterprise analytics. Eager to utilize your cloud and big data expertise? Let's connect!
As a Senior Data Engineering Lead, you'll have over 8 years of experience, with at least 2 years in a leadership role. Your skills in SQL, Apache Spark, and experience with Azure or AWS will be paramount in driving scalable data platforms. Your leadership will guide the team in developing AI solutions and enhancing business intelligence.
Key Responsibilities: • Design and implement scalable data architectures • Spearhead data engineering projects and strategy • Leverage SQL and Apache Spark technologies • Work collaboratively on analytics and AI solutions • Maintain effective communication across teams
Requirements: • 8+ years of Data Engineering expertise • 2+ years as a Lead or Technical Lead • Proficient in SQL, Spark, and Hadoop technologies • Familiar with Azure or AWS Cloud platforms • Strong leadership abilities and problem-solving skills
Embrace a leadership role that combines your passion for data engineering and cloud technologies in delivering innovative analytics solutions.
As a Senior Data Engineering Lead, you'll have over 8 years of experience, with at least 2 years in a leadership role. Your skills in SQL, Apache Spark, and experience with Azure or AWS will be paramount in driving scalable data platforms. Your leadership will guide the team in developing AI solutions and enhancing business intelligence.
Key Responsibilities: • Design and implement scalable data architectures • Spearhead data engineering projects and strategy • Leverage SQL and Apache Spark technologies • Work collaboratively on analytics and AI solutions • Maintain effective communication across teams
Requirements: • 8+ years of Data Engineering expertise • 2+ years as a Lead or Technical Lead • Proficient in SQL, Spark, and Hadoop technologies • Familiar with Azure or AWS Cloud platforms • Strong leadership abilities and problem-solving skills
Embrace a leadership role that combines your passion for data engineering and cloud technologies in delivering innovative analytics solutions.