About The Role

Bachelor’s degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline
7+ years of relevant experience in data engineering roles with primary skills on Databricks on AWS
Detailed knowledge of data warehouse technical architectures, data modelling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding
Proficient in at least one or more programming languages: Java, Python, Ruby, Scala
Experienced with AWS services such as Redshift, S3, EC2, Lambda, Athena, EMR, AWS Glue, Datapipeline.
Exposure to data visualization and reporting with tools such as Amazon QuickSight, Metabase, Tableau, or similar software
Experience building metrics deck and dashboards for KPIs including the underlying data models.
Understand how to design, implement, and maintain a platform providing secured access to large datasets
Master’s degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline
7+ years of work experience with ETL, Data Modelling, and Data Architecture with primary skills on Databricks on AWS .
Experience or familiarity with newer analytics tools such as AWS Lake Formation, Sagemaker, DynamoDB, Lambda, ElasticSearch.
Experience with Data streaming service e.g Kinesis Kafka
Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
Proven track record partnering with business owners to understand requirements and developing analysis to solve their business problems
Proven analytical and quantitative ability and a passion for enabling customers to use data and metrics to back up assumptions, develop business cases, and complete root cause analysis
Bachelor’s or higher degree in Computer Science or a related discipline; or equivalent (minimum 10+ years work experience).