Data Engineer(AWS Stack)

Description

Overall 9+ years of Data engineering Experience.
Good experience with Databricks.
Must possess 5+ years of experience with developing business intelligence solutions including data integration, data schema development, data pipelines, modeling and reporting/analytics
Distributed compute experiences: Spark, Scala, Pyspark.
Good experience in AWS stack.
Strong understanding of database design principles.
Advanced SQL writing & query tuning
Familiarity with data science tools: Jupyter Notebooks, Python
Data validation, cleansing, featuring
High capacity for data analysis, data modeling, computer programming, problem-solving, sound judgment, accuracy, and attention to detail
Ability to play developer roles for automation and integration
CI/CD experience