Data Engineer (Data Warehouse) - Singapore at Plaid

Singapore

Plaid Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
N/AIndustries

Requirements

  • Minimum Qualifications
  • Bachelor's or Master’s degree in a technical field (Computer Science, Engineering or a related field)
  • 3-5 years of experience in data warehouse development, including big data development, data warehouse modeling
  • Strong understanding of data warehouse architecture and principles
  • Proficient in at least 2 programming languages (e.g. SQL, Python, Scala, Java, Go)
  • Preferred Qualifications
  • Experience with big data platforms (Hive, Spark, Airflow, Kafka, Flink, etc.) and relational databases
  • Experience in backend engineering skills
  • Familiar with AWS data tools (E.g. Snowflake, and data pipeline technologies)
  • Familiar with data security and compliance
  • Strong communication skills and team spirit, with curiosity and openness to new technologies

Responsibilities

  • Design and develop data warehouse systems, including data modeling, ETL process development, and data quality assurance
  • Collaborate with business teams and data analysts to understand business needs and deliver warehouse solutions
  • Continuously optimize data processing performance to improve platform stability and efficiency
  • Research emerging technologies to drive the next-generation upgrade of the data platform

Skills

SQL
Python
Scala
Java
Go
Hive
Spark
Airflow
Kafka
Flink
Snowflake
AWS

Plaid

Connects financial accounts to apps securely

About Plaid

Plaid simplifies financial data management for individuals and businesses by connecting various financial accounts to apps and services. Its main product is a set of APIs that allow developers to integrate financial data into their applications, enabling users to track spending, initiate payments, and access financial services all in one place. Plaid serves a wide range of clients, including app developers and financial institutions, and is used by popular apps like LendingTree and Square. Unlike many competitors, Plaid focuses on providing a comprehensive and scalable platform that supports various financial use cases, such as transactions and identity verification. The company's goal is to enhance the way users interact with their financial data, making it easier and more secure.

San Francisco, CaliforniaHeadquarters
2013Year Founded
$714.3MTotal Funding
SERIES_DCompany Stage
Fintech, Financial ServicesIndustries
1,001-5,000Employees

Benefits

We've got you covered: From medical, life, and 401ks, we’re here to support your physical, mental, and financial wellbeing.
Everyone is an owner: We want everyone to feel ownership over their work - literally, which is why we offer equity to full-time Plaids.
Vacation your way: We want to make sure you have time to meet your personal needs with unlimited PTO and two weeks of synchronous, company-wide vacation.
Grow your skills: Every Plaid is in control of their career development with our learning stipends, tools, and trainings.

Risks

Increased competition from API-based banking solutions like FIS's Code Connect platform.
Potential legal challenges, such as PNC's lawsuit over trademark issues.
Demand for enhanced transparency and security in financial data sharing.

Differentiation

Plaid offers seamless financial data integration through robust APIs for diverse clients.
Plaid's Pay by Bank for Bill Pay provides a cost-effective recurring payment solution.
Plaid's strategic partnerships enhance its value proposition in payroll and payment sectors.

Upsides

Plaid's expansion into the Triangle area indicates growth and increased hiring potential.
Partnership with Dwolla enhances Plaid's presence in the secure payments sector.
Collaboration with Ansa expands market reach through pay-by-bank capabilities for merchants.

Land your dream remote job 3x faster with AI