Job Description

Greetings from Impetus!

We are excited to share an opportunity for the role of Big Data GCP Engineer at Impetus.

If you are passionate about building scalable data solutions and have strong experience in Google Cloud Platform (GCP) and big data technologies, this could be a great fit for you.

Please find the Job Description below. You can also explore more about us through our website:

https://www.impetus.com/

Job Description -

Over 10+ years of experience in designing, architecting, implementing, and optimizing data engineering solutions handling large-scale data volumes (TB to PB scale).
Expertise in building end-to-end data architectures using Azure Databricks, including data ingestion pipelines, transformation frameworks, and data warehousing solutions for both batch and real-time processing.
Strong hands-on experience with Azure ecosystem services such as Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Synapse Analytics, Azure SQL Database, and Azure Functions.
Proven track record in developing scalable data lakes and robust data pipelines for enterprise-grade applications.
Advanced proficiency in PySpark, Python, and Spark SQL, with a strong focus on processing large datasets and automating data workflows.
Experience in implementing data governance and security frameworks, including Unity Catalog and access control mechanisms.
Skilled in end-to-end project lifecycle management: requirements gathering, solution design, development, testing, deployment, and ongoing support.
Hands-on experience with cloud migration projects, modernizing legacy data platforms to scalable cloud-based architectures.