Data Platform Engineer

Nice to meet you - We are Finaloop!

Finaloop revolutionizes financial operations for eCommerce businesses! Our cutting-edge SaaS solution blends automation, AI, and human expertise to deliver real-time bookkeeping services. We empower our customers to make data-driven decisions by transforming their financial information into actionable insights.

We're seeking an outstanding and passionate Data Platform Engineer to join our growing R&D team.

You will work in an energetic startup environment following Agile concepts and methodologies. Joining the company at this unique and exciting stage in our growth journey creates an exceptional opportunity to take part in shaping Finaloop's data infrastructure at the forefront of Fintech and AI.

What you'll do:

Design, build, and maintain scalable data pipelines and ETL processes for our financial data platform

Develop and optimize data infrastructure to support real-time analytics and reporting

Implement data governance, security, and privacy controls to ensure data quality and compliance

Create and maintain documentation for data platforms and processes

Collaborate with data scientists and analysts to deliver actionable insights to our customers

Troubleshoot and resolve data infrastructure issues efficiently

Monitor system performance and implement optimizations

Stay current with emerging technologies and implement innovative solutions

Tech stack: AWS Serverless, Python, Airflow, Airbyte, Temporal, PostgreSQL, Snowflake, Kubernetes, Terraform, Docker.

What you'll bring:

3+ years experience in data engineering or platform engineering roles

Strong programming skills in Python and SQL

Experience with orchestration platforms like Airflow/Dagster/Temporal

Experience with MPPs like Snowflake/Redshift/Databricks

Hands-on experience with cloud platforms (AWS) and their data services

Understanding of data modeling, data warehousing, and data lake concepts

Ability to optimize data infrastructure for performance and reliability

Experience working with containerization (Docker) in Kubernetes environments

Familiarity with CI/CD concepts

Fluent in English, both written and verbal

And it would be great if you have (optional):

Experience with big data processing frameworks (Apache Spark, Hadoop)

Experience with stream processing technologies (Flink, Kafka, Kinesis)

Knowledge of infrastructure as code (Terraform)

Experience building analytics platforms

Experience building clickstream pipelines

Familiarity with machine learning workflows and MLOps

Experience working in a startup environment or fintech industry