Description

Description:
7+ Years of experience required
· Work closely with source data application teams and product owners to design, implement, and
support analytics solutions that provide insights to make better decisions
· Implement data migration and data engineering solutions using Azure products and services:
(Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream
Analytics, Azure Databricks, etc.) and traditional data warehouse tools
· Perform multiple aspects involved in the development lifecycle – design,ingestion, preparation,
data modeling, testing, CICD pipelines, performance tuning, deployments, consumption,
alerting, defect fixes and post production support.
· Develop technical solutions and collaborate within a team environment as well as work
independently
· Be a part of a DevOps team that completely owns and supports their product
· Implement batch and streaming data pipelines using cloud technologies
· Follow coding standards, best practices and privacy and security guidelines defined by AA
architecture and be part of multi-functional technical and domain skills team

Top 3 Skills: Azure, Pyspark, Databricks, Spark SQL
Nice to Have Skills: Airline Domain Knowledge

data analytics
Describe a great candidate that you are looking for and what skills and experience they will
have:· 6+ years software solution development using agile, DevOps, operating in a product
model that includes designing, developing, and implementing large-scale applications or data
engineering solutions · 6+ years of  experience using SQL · 6+ years of cloud

development and data lake experience (prefer Microsoft Azure) including Azure EventHub,
Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake,
Azure Power Apps and Power BI

Key Skills

Education

Bachelor's degree