Job Description
The Opportunity: We are seeking a highly motivated and enthusiastic Data Engineer to join our data team. This is an excellent opportunity in building and maintaining data pipelines within a modern cloud-based data ecosystem. You will play a key role in ensuring our data is accurate, accessible, and ready for analysis, supporting various business functions.
Responsibilities:
•Assist in the design, development, and maintenance of ETL (Extract, Transform, Load) processes to ingest data from various sources into our data warehouse.
•Write and optimize Python scripts for data extraction, transformation, and loading, ensuring data quality and efficiency.
•Work with our Azure cloud platform to provision, configure, and manage data services such as Azure Data Lake Storage, Azure SQL Database, and potentially Azure Data Factory.
•Develop and maintain data schemas and tables within Snowflake, our cloud data warehouse.
•Collaborate with senior data engineers and data analysts to understand data requirements and assist in translating them into technical solutions.
•Monitor data pipelines for performance and data integrity issues, troubleshooting and resolving problems as they arise.
•Participate in data quality initiatives, identifying and addressing discrepancies in data.
•Document data flows, ETL processes, and data models to ensure clear understanding and maintainability.
•Learn and apply best practices in data engineering, data governance, and data security.
•Contribute to the continuous improvement of our data platform and tooling.
Required Skills and Experience:
•Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.
•3-5 years of professional experience in a data-related role (e.g., intern, data analyst, entry-level developer) with a strong desire to specialize in data engineering.
•Strong foundational knowledge of Python and experience with its data manipulation libraries (e.g., Pandas).
•Understanding of ETL (Extract, Transform, Load) concepts and data warehousing principles.
•Familiarity with cloud platforms, specifically Microsoft Azure, including an understanding of services like Azure Data Lake Storage or Azure SQL Database.
•Basic understanding of relational databases and SQL.
•Eagerness to learn and work with Snowflake as a cloud data warehouse.
•Excellent problem-solving skills and a keen eye for detail.
•Strong communication and collaboration skills, with the ability to work effectively in a team environment.Python, Snowflake, ETL - Extract Transform Load
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