
Data Engineering Lead
5 days ago
Data Engineering Lead
- Designing and implementing data pipelines using Airflow and Python for large-scale data processing systems.
- Developing and maintaining large-scale data processing systems in Snowflake, ensuring high-quality data delivery and scalability.
Maintaining open communication with cross-functional teams to ensure alignment on data requirements and solutions.
Achieving data quality, integrity, and security across all data pipelines is crucial.
The ideal candidate has a strong background in software engineering and data processing, with experience working with ETL tools, cloud-based data platforms, and big data technologies.
Candidates should have experience with collaborative development methodologies, ensuring the timely completion of projects and meeting business objectives.
Responsibilities:- Develop and implement data-driven solutions that drive business growth.
- Collaborate with data scientists and analysts to understand business requirements and deliver high-quality data solutions.
- Evaluate and improve data pipeline efficiency to reduce costs and increase productivity.
- Lead and mentor junior engineers to enhance their skills and knowledge.
This position requires a unique blend of technical expertise, leadership skills, and business acumen.
Effective problem-solving, communication, and interpersonal skills are essential for success in this role.
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