DBT Data Engineer- Remote

Notice: Immediate to 15 days only

Placement Type: Contractual Position

• Data Pipeline Development: Design, implement, and manage ETL data pipelines that ingest vast amounts of commercial and scientific data from various sources into cloud platforms like AWS.
• Cloud Integration: Utilize AWS services such as Glue, Step Functions, Redshift, and Lambda to process and store data efficiently.
• Data Transformation: Develop and maintain accurate data pipelines using Python and SQL, transforming data for aggregations, wrangling, quality control, and calculations.
• Workflow Automation: Enhance end-to-end workflows with automation tools to accelerate data flow and pipeline management.
• Collaboration: Work closely with business analysts, data scientists, and cross-functional teams to understand data requirements and develop solutions that support data-driven decision-making.

• Educational Background: Bachelor’s or Master’s degree in Information Technology, Bioinformatics, Computer Science, or a related field.
• Professional Experience: Several years of experience in data engineering, with hands-on expertise in:
• Developing and managing large-scale ETL data pipelines on AWS.
• Proficiency in Python and SQL for data pipeline development.
• Utilizing AWS services such as Glue, Step Functions, Redshift, and Lambda.
• Familiarity with tools like Docker, Linux Shell Scripting, Pandas, PySpark, and Numpy.
• Soft Skills: Strong problem-solving abilities, excellent communication skills, and the capacity to work collaboratively in a dynamic environment.