Data Warehouse Data Engineer

Kredit Pintar

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Job Description

Designing and implementing robust data warehouse architectures that support business requirements
Developing ETL (Extract, Transform, Load) processes to integrate data from multiple sources into a centralized repository
Creating data models that accurately represent business processes and support analytics
Ensuring the security of the data warehouse and compliance with data governance standards
Optimizing data warehouse performance through indexing, partitioning, and query tuning
Collaborating with business analysts and data scientists to understand analytical needs and deliver appropriate data structures
Writing complex SQL queries for data manipulation and retrieval
Testing and troubleshooting data systems to ensure accuracy and quality of data
Documenting the data warehouse environment and maintaining metadata repositories
Monitoring data warehouse systems to ensure reliability and performance standards are met
Keeping abreast of new technologies and methodologies in data warehousing and big data
Providing support and training to end-users on data warehouse usage and best practices

REQUIREMENT

Strong product experience working with tech & business teams.
Familiar with Spark/Hadoop ecosystem
Familiar with Java or Scala or Python.
Familiar with Kubernetes containerization.

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