Data Engineer & Analytics

Kredivo Group; Daerah Khusus Ibukota Jakarta; On-site; IDR 401.270.000 - 601.907.000; Full time

Job summary

A leading fintech company in Jakarta is seeking a Data Engineer to develop scalable data solutions and support data quality efforts. We're looking for a passionate individual with 1-3 years of experience in data engineering, proficient in SQL and Python, who is eager to work on complex data integrations and collaborate with various teams. This role offers opportunities for growth in a dynamic environment.

Qualifications

• 1-3 years of experience in Data Engineering or related fields.
• Proficiency in SQL for RDBMS or OLAP systems.
• Ability to write scalable code in Python or similar languages.

Responsibilities

• Design and develop scalable data solutions for the data supply chain.
• Create technical documentation for data solutions.
• Solve complex data integrations across multiple systems.

Skills

Data Engineering

SQL

Python

Data Warehouse Concepts

Cloud Services

Data Analytics

Tools

Redsift

Spark

Hadoop

BigQuery

Redshift

MySQL

PostgreSQL

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.