
Scalable Data Infrastructure Developer
14 hours ago
We're on the hunt for a top-notch Data Engineer to join our fast-paced fintech environment
The role requires developing and maintaining scalable data infrastructure solutions that drive business growth and success.
Key responsibilities include:
- Designing and implementing robust data pipelines and ETL processes.
- Optimizing data storage, processing, and retrieval for analytics, marketing, and machine learning applications.
- Ensuring business users have reliable, well-structured, and timely access to data.
- Guaranteeing data quality, integrity, and governance across the data ecosystem.
- Collaborating with software engineers to build near-real-time data ingestion and feature store solutions.
- Implementing monitoring and logging tools to track and manage data pipeline health and performance.
- Working closely with data scientists, analysts, and other teams to enable advanced analytics and model development.
Requirements include:
- Proven expertise in data engineering with a strong background in Python and SQL.
- Hands-on experience with Apache Airflow for orchestrating and scheduling data workflows.
- Proficient in working with data warehouses (Snowflake, BigQuery).
- Familiar with streaming data architectures and batch processing techniques.
- Strong experience with cloud platforms (AWS and/or GCP).
- Knowledge of infrastructure-as-code tools (Terraform, CloudFormation) and containerization (Docker, Kubernetes).
- Skilled in CI/CD for data workflows and experienced in automating data pipelines.
- Excellent problem-solving skills – able to break down complex issues and find innovative solutions.
- Strong collaboration and communication skills – able to work effectively with cross-functional teams.
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