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 our 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.
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.
