
Data Architectural Specialist
2 weeks ago
The Lead Data Engineer will be a key member of our data engineering team, responsible for designing, implementing, and optimizing data pipelines. This role requires strong programming skills, cloud expertise, and in-depth knowledge of Big Query/Snowflake data warehousing technologies.
Job Description:This is an exciting opportunity to join our organization as a Lead Data Engineer and play a critical role in driving business growth through data-driven decision making. The successful candidate will lead the design and architecture of scalable and efficient data pipelines, ensuring optimal performance and reliability.
The ideal candidate will have a strong background in programming, with expertise in languages like Python. They will also possess extensive experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and demonstrate deep understanding and hands-on experience with BigQuery/Snowflake for efficient data storage, processing, and analysis.
Responsibilities:- Design and implement effective data models to support ETL processes and ensure data integrity and efficiency.
- Collaborate with cross-functional teams, providing technical leadership and guidance to junior data engineers.
- Work closely with data scientists, analysts, and business stakeholders to understand requirements and deliver effective data solutions.
- 8+ years of experience in data engineering roles with a focus on programming, cloud platforms, and data warehousing.
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
This role offers a unique opportunity to work with a dynamic team, leverage cutting-edge technologies, and drive business growth through data-driven decision making. If you are an experienced Lead Data Engineer with a strong programming background, cloud expertise, and specific knowledge of BigQuery/Snowflake, we encourage you to apply.
How to Apply:Please submit your resume and a cover letter highlighting your technical skills, leadership experience, and contributions to data engineering projects.
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