Databricks AWS DE Analyst
1 day ago
- Bachelor's degree in computer science, Data Science, engineering, mathematics, information systems, or a related technical discipline
- 1+ years of relevant experience in data engineering roles
- 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 programming languages: Python
- Experienced with Databricks designing, developing, and maintaining data pipelines and solutions using Databricks, Apache Spark, and other related tools(Unity Catalog, Workflow, Autoloader, delta sharing) to process large datasets and extract actionable business insights.
- Experienced with AWS services such as Redshift, S3, EC2, Lambda, Athena, EMR, AWS Glue, Datapipeline.
- 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
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