Databricks Unified Data Analytics Platform Data Platform Engineer
Role details
Job location
Tech stack
Requirements
Project Role :Data Platform EngineerProject Role Description :Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.Management Level :10Work Experience :4-6 yearsWork location :BengaluruMust Have Skills :Good To Have Skills :Job Requirements : Key Responsibilities : 1 Experience in developing Spark applications using Spark-SQL in Databricks for data extraction, transformation, and aggregation from multiple file formats for Analyzing transforming the data to uncover insights into the customer usage patterns 2 Extract Transform and Load data from sources Systems to GCP Data Storage services using a combination of GCP Data Lake components Data ingestion to one or more GCP services GCP BQ, GCP BQ ML, DataProc, etc and processing the data in GCP DatabricksTechnical Experience : 1 Overall, 5 years of experience In Industry including 4Years of experience As Developer using Big Data Technologies like Databricks/Spark and Hadoop Ecosystems 2 Hands on experience on Unified Data Analytics with Databricks, Databricks Workspace User Interface, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake with Spark SQL 3 Good understanding of Spark Architecture with Databricks, Structured Streaming 4 Setting Up cloud platform with Databricks, Databricks WorkspaceProfessional Attributes : 1 Team player 2 Good communication skillEducational Qualification : Graduate 15 years of full time education ]]>
