Data Engineer (Snowflake)

Data Engineer

Job Summary:

The Data Engineer plays a critical role in building and maintaining robust data pipelines that enable efficient data processing and analytics. By leveraging ETL tools and best practices, the Data Engineer ensures that high-quality, reliable data is accessible to drive strategic decisions within the organization.

Key Responsibilities:

• Design and implement scalable ETL processes to extract, transform, and load data from various sources into a centralized data storage solution.
• Develop and maintain data pipelines using SQL, Python, and Pyspark to ensure timely and accurate data delivery.
• Collaborate with data analysts and stakeholders to understand data requirements and provide solutions that meet business needs.
• Optimize and refactor existing data workflows to improve performance and efficiency.
• Ensure data quality and integrity by establishing validation and monitoring mechanisms throughout the data processing lifecycle.
• Deploy and manage data solutions in Snowflake, ensuring optimal use of cloud resources.
• Document data flows, processes, and technical designs to maintain transparency and facilitate onboarding of new team members.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in data engineering or a similar role, with a strong foundation in ETL development.
• Proficiency in SQL and experience with data warehousing technologies, specifically Snowflake.
• Hands-on experience with Python and Pyspark for data processing tasks.
• Understanding of data modeling concepts and best practices in large-scale data systems.
• Excellent problem-solving skills with a strong analytical mindset.
• Ability to collaborate with cross-functional teams to deliver impactful data solutions.

Preferred Qualifications:

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of additional programming languages or frameworks (e.g., Java, Scala).
• Familiarity with data visualization tools such as Tableau or Power BI.
• Previous experience in a fast-paced agile environment.
• Understanding of data governance and security protocols.