Data Engineer And Analytics

Job Description:
FinAccel is a fun, fast-growing company with lofty ambitions. Starting with instant e-commerce financing, we are on a goal to disrupt unsecured lending in Southeast Asia, one of the fastest-growing economic regions globally.


Our first product, Kredivo, which integrates at merchant checkout, qualifies e-commerce buyers for instant e-commerce purchase financing at rates which are much lower than consumer finance companies.


As an ETL Engineer, you will be excited to:


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 stacks Minimum Qualifications:
We are excited to welcome the dynamic robust Data Engineer who has:


Passionate and curious individual in Data Engineering and Analytics subject areas 1-2 years (for Junior role) and 3-5 years (for Mid/Senior role) of any relevant experiences in Data Engineering, Data Warehouse, Business Intelligence, Analytics High proficiency with SQL and RDBMS with some baseline knowledge in data architecture and data modeling Ability to write robust and scalable code in Python or other scripting programming language Experience on building any data visualization using Tableau, Power BI, Data Studio, etc is a plus. Experience in using Periscope data is a big plus Team player and strong communicator with business to understand business needs Exposure in DevOps or infrastructure setup experience is a plus Familiar using cloud infrastructure such as AWS, Google Cloud Platform, Azure, etc is a plus