TL;DR
Senior Data Engineer (AI/ML): Building and optimizing a data platform with custom infrastructure for scalability and data-driven decision-making, with an accent on optimal pipeline architectures and AI/ML integration. Focus on transforming diverse data sources into actionable insights and supporting strategic initiatives through efficient data utilization.
Location: Remote from Bulgaria
Company
hirify.global is a custom product engineering company that partners with multinational organizations and scaling startups, providing skilled developers and consultants to solve complex business challenges.
What you will do
- Take full ownership and responsibility for Balance’s data stack.
- Create and maintain optimal data pipeline architecture.
- Implement AI and ML modules to support applications.
- Build infrastructure for optimal extraction, transformation, and loading of data using SQL and AWS big data technologies.
- Develop analytics tools to provide actionable insights into business metrics.
- Identify, design, and implement internal process improvements through automation.
Requirements
- Bachelor's degree in Computer Science, Engineering, Statistics, or a related field.
- 5+ years of professional Data Engineer experience, preferably from Fintech companies.
- Strong proficiency with data modeling, data warehousing, and building ELT/ETL pipelines.
- Experience with SQL, NoSQL databases, and cloud platforms (preferably AWS).
- Experience with Cloud DBs (Snowflake/Redshift) and ETL tools (Fivetran/Rivery/Airbyte).
- Excellent problem-solving, analytical, and communication abilities in English.
Culture & Benefits
- Regular salary reviews and internal mobility program.
- Tailored education path including full access to Udemy and certifications.
- 25 paid days off (20 vacation + 5 sick leave).
- Additional health insurance.
- 100% company-covered Multisport card with family discounts.
- Work with cutting-edge technologies in a collaborative One Team culture.
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