Data Engineer - ETL, ELT, Data Pipeline

The Opportunity

In this role, you will develop and maintain robust data pipelines to ensure efficient data processing and accessibility. You will design scalable data architectures that enhance our analytics and business intelligence processes. Key tasks include collaborating with data scientists and analysts to accurately capture data requirements, optimizing workflows for improved performance, and ensuring the quality and integrity of the data.

Your Day-to-Day

• Build and optimize ETL and ELT processes to facilitate seamless data integration.
• Utilize Spark, PySpark, and Databricks for transforming large datasets.
• Work with cloud-based data warehousing solutions like Snowflake, Redshift, or BigQuery.
• Monitor data pipeline performance and troubleshoot issues as they arise.
• Engage in cross-functional discussions to align on data needs and integration strategies.

You'll Thrive Here If

• You have a strong foundation in ETL and ELT methodologies.
• You possess hands-on experience in developing efficient data pipelines.
• You are familiar with cloud data platforms and big data frameworks.
• You have excellent analytical skills with a keen focus on detail.

Apply now to contribute your expertise in data engineering to our innovative projects.