Overview
Join our dynamic team as a Junior Data Engineer and become a vital contributor to our data-driven initiatives! In this energetic role, you'll support the development, management, and optimization of our data infrastructure, enabling insightful analytics and strategic decision-making. You'll work closely with cross-functional teams to design scalable data models, build robust ETL (Extract, Transform, Load) pipelines, and implement innovative solutions using cutting-edge cloud and big data technologies. This is an exciting opportunity for passionate individuals eager to grow their expertise in data engineering while making a tangible impact on business outcomes.
Duties
- Assist in designing and implementing data models and schemas to support various analytical and operational needs
- Develop and maintain ETL pipelines using tools like Talend, Informatica, or custom scripting with Python, Bash, or Shell Scripting
- Collaborate with teams to integrate linked data sources and ensure seamless data flow across platforms such as AWS, Azure Data Lake, or cloud databases
- Support the management of SQL databases including Microsoft SQL Server, Oracle, and other SQL-based systems for efficient query performance
- Contribute to the development of data warehousing solutions with dimensional modeling techniques for optimized query management
- Aid in the training of machine learning models by preparing datasets and performing analysis using Spark or Hadoop ecosystems
- Participate in Agile development cycles to deliver iterative improvements in data pipelines and infrastructure
- Required Skills:
- Strong Python programming
- ETL development
- Snowflake
- DBT knowledge is a plusEmbark on a journey where your technical skills fuel innovative solutions! We’re committed to fostering growth through continuous learning opportunities in cloud technologies, analytics, and data management best practices. Join us to help shape the future of data-driven decision-making!
Pay: $30.00 - $35.00 per hour
Work Location: In person
