Junior Data Engineer
7 days ago
Key Responsibilities:
- Monitor data pipeline batches and validate results for performance and reporting.
- Perform data engineering tasks including data acquisition, data validation, and database design.
- Design and implement ETL/ELT data pipelines.
- Partner with cross-functional teams to ensure accuracy, efficiency, and reliability of data processes.
Qualifications:
- Data Engineer (3+ years of experience) with Python and SQL, primarily for pipeline maintenance and some development work.
- Proven experience using Python, SQL, and cloud storage (such as AWS S3)
- Experience with developing in a multi environment (Dev, QA, Prod, etc.) and DevOps procedures for code deployment/promotion.
- Understanding of relational database design and proficiency utilizing a database such as PostgreSQL, or Snowflake
Preferred:
- Experience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar
- Knowledgeable on cloud architecture and product offerings, preferably AWS
- Experience managing and deploying code using a source control product such as GitLab/GitHub
- Experience leveraging containerization technologies such as Docker or Kubernetes
- Hands-on knowledge of job scheduling software like Apache Airflow or UC4
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