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