Data Engineer & Analytics
At a glance
Mid-level Data Engineering role at Kredivo Group. Jakarta · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build scalable data pipelines and analytics engines that help internal teams explore warehouse data
- Design data solutions across the supply chain, then document models, definitions, flows and architecture
- Untangle integrations between multiple systems and work with business and technical teams on data quality
What you bring
- One to three years in data engineering, warehousing, business intelligence or analytics
- Strong SQL skills and the ability to create sturdy, scalable code in Python or another scripting language
- Working knowledge of business dashboards and basic cloud infrastructure setup
- You can explain technical topics in both Bahasa and English
Who this fits
This mid-level role suits someone who enjoys data engineering and analytics, approaches tasks carefully, and is ready to develop further. It is based in Jakarta and involves working with product, engineering, data, business and technical colleagues.
From the employer
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 job:
- 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 stack
About you:
- A passionate and curious individual in Data Engineering and Analytics subject areas
- 1-3 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.
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