Junior Data Engineer

SWBC is seeking a skilled Data Engineer to join our dynamic Data team. The ideal candidate will have experience in building and maintaining data pipelines, with a focus on cloud-based data warehouses such as Snowflake or Redshift. This role offers an exciting opportunity to work with cutting-edge technologies and drive impactful data-driven solutions. Why you'll love this role: Joining our team means becoming part of a community dedicated to maintaining scalable and stable products that meet user needs. Collaborating within an agile and innovative environment, you'll work closely with peers at all levels, leveraging various tools and skills to ensure our applications thrive. Our diverse team fosters a culture of collaboration, leveraging technology and automation, and celebrating collective success. With a focus on growth, autonomy, work-life balance, and professional development, you'll drive systemic change for business processes, recommending improvements that benefit all our clients. Together, we celebrate successes and learn from failures, making every day impactful and rewarding. We can't wait to welcome you as a valued member of our team. Essential duties include the following: Designs, develops, and maintains scalable and efficient data pipelines to ingest, transform, and load data from various sources into cloud-based data warehouses. Collaborates with cross-funct [... source excerpt omitted ...] ta for analysis and modeling. Stays up to date with emerging technologies and best practices in data engineering and cloud computing. Serious candidates will possess the minimum qualifications: Bachelor’s degree or higher in Computer Science, Engineering, or related field. Proven experience as a Data Engineer or similar role, with a strong understanding of data warehousing concepts and best practices. Proficiency in SQL and experience with database technologies such as PostgreSQL, MySQL, or similar. Hands-on experience with cloud-based data warehouses such as Snowflake or Redshift. Experience with data pipeline orchestration tools such as AWS Step functions, Airflow, or similar.