Senior Data Engineer with Snowflake ,Python ,Airflow ,ADF --(MUST 10+years )

Virtual Labs

Virtual Labs is looking for a Senior Data Engineer with over a decade of experience to play a key role in delivering cloud-based solutions. This role involves working with synergies between data warehousing and Python for enterprise-level systems and calls for expertise in designing and leading cloud data platform migrations.

In this role you can expect to have the responsibilities:

• Develop and implement data engineering solutions using Python and SQL.
• Create and deploy ETL pipelines via Databricks Pyspark.
• Collaborate with business users and analysts to define data architecture requirements.
• Lead cloud data platform migrations with a focus on design and architecture.
• Utilize cloud data warehouses and tools like Snowflake, Redshift, or Big Query.

This role comes with the following benefits:

• Dental care
• Extended health care
• Paid time off

This role requires you to have:

• 10+ years of experience as a Data Engineer.
• Proficiency in SQL Server for managing large datasets.
• Expertise in Python programming.
• Experience with developing ETL pipelines using Databricks Pyspark.
• Familiarity with cloud-based data warehousing systems.

You would benefit from having:

• Experience with Airflow.
• Cloud certifications.

The role requires candidates to collaborate with business users and provide advanced solutions for data warehousing and analytics. The position is located in-person and demands a deep understanding of cloud data architectures and messaging.