TL;DR
Develop and maintain scalable data models and ETL pipelines.
- •Mid-level Data Engineer working on scalable data models, ETL pipelines and dashboards to support analytics and product teams.
- •Key Responsibilities Develop and maintain scalable data models and data access layers for centralized databases and downstream apps.
- •Build and optimize ETL pipelines using.NET libraries, dbt, Spark and analytics tools.
- •Collaborate with product and data science teams to translate requirements into technical designs.
- •Participate in Agile development, code reviews, deployments and monitoring.
- •Requirements At least 2 years professional experience in Data or Software Engineering on data projects.
- •Strong expertise with data visualization tools like Power BI, GoodData, or Tableau.
- •Proficiency in data exploration with Python and experience with object-oriented design (C# a plus).
- •Experience with Spark, Databricks, SQL Server and cloud data tooling (ADF, Terraform).
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