Data Engineer & Analytics

Kredivo Group; Daerah Khusus Ibukota Jakarta; On-site; USD 15.000 - 25.000; Full time

Job summary

A leading company in financial technology seeks a passionate Data Engineer to empower internal teams with deep data insights. You'll design scalable data solutions and use your skills in SQL, Python, and cloud services to drive analytics and support business decisions. Join a dynamic team that values discipline and innovation in an exciting field.

Qualifications

• 1-3 years of experience in Data Engineering and Analytics.
• Proficient in SQL and data scripting languages.
• Familiar with cloud services for infrastructure setup.

Responsibilities

• Design and develop scalable data solutions across the data supply chain.
• Collaborate with teams to support data quality efforts.
• Create and review technical documentation for data solutions.

Skills

SQL

Python

Data Analytics

Data Engineering

Business Intelligence

Tools

AWS

GCP

Azure

MySQL

PostgreSQL

BigQuery

Redshift

Job description

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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