Data Engineer

Description

We are looking for Senior Cloud data Engineer having at least 15+ years of industry experience in building Enterprise data warehouse solution using Spark with Scala or python.
This person will be responsible to develop the framework required to load and transform data into a data vault modeling design to consume gigabyte of historical data for daily reporting purposes.
This person will also help the team to learn and design next gen data warehouse solution using Cloud technology as per latest Industry standards.

Responsibilities

• Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering or related technical discipline
• At least 8-10+ years of experience in working in large global teams, especially for high-performance, large-scale systems data warehouse solution using Data bricks , Spark (Python/Scala)
• Microsoft Azure experience
• Spark/Databricks batch and streaming solutions (Delta Lake, Lakehouse)
• Knowledge of Azure Data Factory
• Knowledge of Kafka, Event hubs and ADLS Gen2 on Microsoft Azure
• Understanding of dev ops tools and engineering practices using micro-services, ci/cd pipeline and test automation
• Cloud technologies and design patterns
• building and optimizing ‘big data’ data pipelines, architectures, and data sets
• proven skills in performance tuning and quality improvements
• strong in Algorithms and Data Structures
• Infrastructure-as-code, using tools such as Terraform, ARM, Bicep or CloudFormation
• Azure CLI, setting up ADO pipelines, Terraform Enterprise, etc