Data Engineering Leader for Scalable Data Infrastructure
hace 1 semana
About PayJoy
OverviewPayJoy is a mission-first financial service provider dedicated to helping under-served customers in emerging markets achieve financial stability and success.
We lend through our patented technology that turns a smartphone into digital collateral, and our cutting-edge machine learning, data science, and anti-fraud AI allow us to offer the lowest cost and qualify the most customers in the industry.
This role plays a key part in designing, developing, and maintaining scalable and efficient data pipelines to support the organization's data needs.
$104,000 - $144,000 per yearEstimated annual salary range based on market research and location.
Job DescriptionThe Senior Data Engineer will be responsible for ensuring the smooth and reliable flow of data across various systems and platforms.
- Designing and developing reliable, scalable, and efficient data pipelines for both batch and real-time data processing.
- Developing and maintaining a data strategy aligned with business objectives.
- Evaluating and implementing the latest data engineering tools and technologies.
Responsibilities include regular review, refinement, and optimization of SQL queries to maintain peak performance.
Required Skills and QualificationsExperience:
- 5+ years of experience in data engineering.
Technical Expertise:
- Deep understanding of data engineering concepts, including ETL/ELT processes, data warehousing, big data technologies, and cloud platforms (e.g., AWS, Azure, GCP).
Programming Skills:
- Proficiency in programming languages such as Python, Scala, or Java.
- Experience with SQL and NoSQL databases.
Local benefits will change according to the candidate's location, but may include coworking space allowance, travel allowance, professional development allowance, fitness allowance, phone finance allowance, home office equipment allowance, and headphone allowance.
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