We are seeking a sharp and self-motivated Data Engineer to join our dynamic team. The ideal candidate will have strong expertise in Python, AWS Glue, Spark SQL, and Snowflake. This role requires someone who can work independently, hit the ground running, and deliver high-quality solutions in a fast-paced environment.
Responsibilities
Design, develop, and maintain efficient, reliable, and scalable data pipelines using Python and AWS Glue
Implement complex data transformations and analytics using Spark SQL
Optimize data storage and retrieval processes in Snowflake
Collaborate with cross-functional teams to understand data requirements and deliver solutions
Ensure data quality, consistency, and security across all data platforms
Troubleshoot and resolve data-related issues promptly
Stay current with the latest trends and best practices in data engineering
Skills
Strong proficiency in Python programming
Extensive experience with AWS Glue and Spark SQL
In-depth knowledge of Snowflake architecture and best practices
Familiarity with ETL processes and data warehousing concepts
Experience with version control systems (e.g., Git)
Strong problem-solving skills and attention to detail
Qualifications
Bachelor's degree in Computer Science, Data Science, or a related field
Minimum of 5 years of experience in data engineering roles
Proven track record of working independently and delivering projects on time
Excellent communication skills and ability to explain complex technical concepts
Strong analytical and critical thinking skills
Upload your CV now and take the first step towards becoming a valuable member
of LaunchX. Your expertise could be the missing piece we need!"
