TL;DR
Data Engineer (Fintech): Designing, implementing, and optimizing end-to-end data pipelines within a cloud-based AWS ecosystem with an accent on data architecture decisions, performance optimization, and data quality initiatives. Focus on working with enterprise-scale data and modern cloud technologies in the finance domain.
Location: Remote (Bulgaria, Georgia, Poland)
Company
hirify.global is a company connecting over 200,000 investment experts and leveraging 100+ diverse applications to deliver innovative solutions.
What you will do
- Design, develop, and maintain data pipelines using AWS AppFlow and AWS Glue.
- Orchestrate and manage data workflows to ensure reliability, scalability, and performance.
- Collaborate with cross-functional teams to gather data requirements and deliver effective solutions.
- Optimize, monitor, and troubleshoot data pipelines and ETL processes.
- Ensure data quality, consistency, and availability across the data platform.
- Contribute to the design and evolution of data architecture and storage solutions.
Requirements
- Strong experience with AWS Glue for ETL development and job orchestration.
- Proficiency with workflow orchestration tools (Airflow or equivalent).
- Hands-on experience with Snowflake.
- Solid understanding of data engineering principles, ETL/ELT processes, and data pipeline design.
- Experience working with AWS cloud services, including: S3, Redshift, EC2, AppFlow, Lake Formation.
- Strong Python skills for data transformation and pipeline logic.
Nice to have
- Experience working in the finance or banking domain.
- Familiarity with data governance and metadata management.
- Experience working in Agile / Scrum teams.
- Knowledge of cost-optimization strategies in AWS.
- Strong communication skills and collaborative mindset.
Culture & Benefits
- As per the laws of your country for vacation and sick pay.
- Health insurance policy for you and your loved ones.
- Time off for state holidays according to the official calendar.
- Pleasant environment with corporate parties and get-togethers for colleagues.
- Comfort service for solving technical and everyday problems at work.
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