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Senior Data Engineer

Amartha is a prominent fintech player in Indonesia providing financial services to underbanked women entrepreneurs in rural areas, focusing on financial inclusion.
South Jakarta, South Jakarta City, Jakarta, Indonesia
Data
Senior Software Engineer
In-Person
5+ years of experience
Finance

Job Description

Amartha, a leading Indonesian fintech company, is seeking a Senior Data Engineer to join their mission of providing financial services to underbanked women entrepreneurs in rural areas. This role sits at the intersection of data engineering and financial inclusion, offering an opportunity to make a significant social impact while working with cutting-edge technology.

The position requires expertise in data engineering services and big data ecosystems, with responsibilities including developing frameworks to streamline data science operations and building integrated analytics and machine learning systems. The ideal candidate will have strong technical skills in cloud systems, DevOps practices, and modern data engineering tools like Airflow, dbt, and Spark.

Working in a collaborative environment, you'll interact with data scientists, product teams, and engineers to build sophisticated solutions. The role demands both technical excellence and the ability to communicate complex concepts effectively to various stakeholders. Experience with Docker, Kubernetes, and CI/CD practices is essential.

Amartha offers a unique opportunity to work in a diverse and inclusive environment where your contributions directly impact financial inclusion in Indonesia. The company values adaptability and problem-solving mindset alongside technical skills. This role is perfect for someone who wants to combine technical expertise with social impact, working in a dynamic fintech environment that's actively shaping the future of financial services in rural Indonesia.

The position is based in South Jakarta, Indonesia, offering the chance to work in one of Southeast Asia's most vibrant tech hubs. Amartha's commitment to diversity and inclusion means you'll be part of a workplace that celebrates different perspectives and fosters an environment where everyone can thrive and contribute meaningfully.

Last updated 4 months ago

Responsibilities For Senior Data Engineer

  • Develop and maintain data engineering services as part of the big data ecosystem
  • Develop data engineering framework to simplify data science works
  • Collaborate with data science, product, and engineering teams to build product solutions with integrated analytics/ML systems
  • Research latest data and ML/AI engineering tools and frameworks
  • Influence data-driven culture in the company

Requirements For Senior Data Engineer

Kubernetes
  • Bachelor's/Master's degree in engineering or quantitative fields
  • Proficient in setting up basic networking in a cloud system
  • Proficient in DevOps best practices such as CI/CD or IAC
  • Proven expertise in using Docker and Kubernetes
  • Familiar with common data engineering tools (Airflow, dbt, Spark, etc.)
  • Proficient in tackling ambiguous problems
  • Ability to communicate complex concepts to non-technical persons
  • Strong resolve in facing uncertainties and new challenges

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