Data Engineering Analytics

at  Kredivo Group

JOB DESCRIPTION:

• Design and develop scalable business data solutions across the entire data supply chain.
• Create and review technical and user-focused documentation for data solutions (data models, data dictionaries, business glossaries, process and data flows, architecture diagrams, etc.).
• Solve for complex data integrations across multiple systems.
• Collaborate with management, business partners, analysts, developers, architects, and engineers to support data quality efforts.
• Expertise (can teach/instruct others): in current data warehousing concepts (using technologies like Redsift, Spark, Hadoop, web services, etc to support business-driven decisioning)
• SQL and database scripting
• With data manipulation scripting languages (like Python or Scala)
• With Data Science toolsets and technology stacks

REQUIREMENTS:

• A passionate and curious individual in Data Engineering and Analytics subject areas
• 1-5 years of any relevant experiences in Data Engineering, Data Warehouse, Business Intelligence, Analytics
• Good proficiency in writing SQL, either in RDBMS (i.e. MySQL, PostgreSQL, etc) or OLAP (i.e. BigQuery, Redshift, Oracle, etc.)
• Ability to write robust and scalable code in Python or other scripting programming language
• Good knowledge in creating a workable business dashboard.
• Basic proficiency or experience in infrastructure setup using cloud services (i.e. AWS, GCP, Azure).
• Strong passion in data engineering or business intelligence areas, ability to search or create solutions.
• Good communication skills in Bahasa and English. Mostly explaining technical things.
• Good workable attitude, something we could invest time to develop.

Please refer the Job description for details