Data Engineer & Analytics

FinAccel; Indonesia; On-site; IDR 180,000,000 - 300,000,000; Full time

Job summary

FinAccel is seeking a Data Engineer and Analytics professional to empower internal stakeholders by building scalable data pipelines and analytics engines in our warehouse. You will work with Product, Engineering, and Data teams to deliver deep insights and robust data solutions.

You should be curious, disciplined, and comfortable taking a task-oriented, careful approach to work, ensuring data quality and scalable design across systems.

Qualifications

• Proficient in writing SQL for RDBMS and OLAP systems.
• Ability to write robust, scalable Python/Scala code.

Responsibilities

• Design and develop scalable data pipelines across the data supply chain.
• Document data models, dictionaries, glossaries and data flows.
• Collaborate with product, engineering and data teams to ensure data quality.

Skills

SQL

Python

Scala

BI

Tools

Redshift

Spark

Hadoop

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.