Data Engineer & Analytics Jobs

As a Data Engineer and Analytic you will be tasked with empowering internal stakeholders to delve deep into the complexities of the data in our warehouse. You will work closely with Product, Engineering, and Data teams to build scalable data pipelines and design data analytics engines that empower deep insights for users. The person in this position will take work seriously, has a strong sense of duty, and is disciplined. The position will generally be task oriented, requiring someone with a conservative, careful, and cautious approach to work.

About the role:

• Design and develop scalable business data solutions across the entire data supply chain.
• With Data Science toolsets and technology stack
• Create and review technical and user-focused documentation for data solutions (data models, data dictionaries, business glossaries, process and data flows, architecture diagrams, etc.).
• With data manipulation scripting languages (like Python or Scala)
• Solve for complex data integrations across multiple systems.
• SQL and database scripting
• 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)

About you:

• Ability to write robust and scalable code in Python or other scripting programming language
• 1-3 years of any relevant experiences in Data Engineering, Data Warehouse, Business Intelligence, Analytics
• Good workable attitude, something we could invest time to develop
• Good knowledge in creating a workable business dashboard.
• Strong passion in data engineering or business intelligence areas, ability to search or create solutions.
• A passionate and curious individual in Data Engineering and Analytics subject areas
• Basic proficiency or experience in infrastructure setup using cloud services (i.e. AWS, GCP, Azure).
• Good proficiency in writing SQL, either in RDBMS (i.e. MySQL, PostgreSQL, etc) or OLAP (i.e. BigQuery, Redshift, Oracle, etc.)
• Good communication skills in Bahasa and English. Mostly explaining technical things.