Job Description

We are seeking a highly skilled and experienced

Lead Data Engineer

to join the team. The ideal candidate will have a strong background in designing and implementing scalable data pipelines, data warehousing solutions, and ETL frameworks. Candidate will be leading a team of data engineers and collaborate closely with cross-functional teams to support data-driven decision-making across the organization.

Key Responsibilities:

Lead the design, development, and maintenance of robust data pipelines and ETL processes. Architect and implement scalable data warehousing solutions using Snowflake. Develop and maintain REST APIs for data access and integration. Ensure high-quality code through unit testing and code reviews. Utilize Apache Airflow for workflow orchestration and scheduling. Work with Apple's GBI framework to support data integration and analytics. Optimize and manage SQL queries for performance and scalability. Collaborate with data scientists, analysts, and business stakeholders to understand data requirements. Mentor junior data engineers and promote best practices in data engineering. Ensure data quality, integrity, and security across all systems.

Required Qualifications:

8+ years of experience in data engineering, ETL development, and data warehousing. Strong proficiency in Python and SQL. Hands-on experience with Snowflake, Airflow, and REST API development. Familiarity with Apple GBI framework is a strong plus. Experience with unit testing and CI/CD pipelines. Excellent problem-solving skills and attention to detail. * Strong communication and leadership abilities.