Data Platform Engineer

Our client is a leading AI-powered lending fintech that is transforming financial access for millions. We are seeking a Data Platform Engineer to join our dynamic team and contribute to our mission of expanding financial inclusion through innovative technology.

In this role, you will be responsible for designing, implementing, and maintaining scalable data platforms that support our machine learning initiatives and data-driven decision-making processes. You will work closely with data scientists, analysts, and other engineering teams to ensure that our data infrastructure meets the needs of our growing business.

Key Responsibilities:

• Design and develop robust data pipelines to ingest, process, and store large volumes of data from various sources.
• Collaborate with data scientists to optimize data workflows and support machine learning model development.
• Ensure data quality and integrity by implementing monitoring and validation processes.
• Work on cloud-based solutions, leveraging tools such as AWS, Azure, or Google Cloud.
• Optimize database performance and manage data storage solutions.
• Stay updated with industry trends and best practices in data engineering and analytics.

Required Skills & Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5-8 years of experience in data engineering or a related role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with data warehousing solutions and ETL processes.
• Familiarity with big data technologies like Hadoop, Spark, or Kafka.
• Strong understanding of database management systems, both SQL and NoSQL.
• Excellent problem-solving skills and ability to work in a fast-paced environment.

What we offer:

• Opportunity to work in a mission-driven company with a strong social impact.
• Collaborative and innovative work environment.
• Access to cutting-edge technology and tools.
• Opportunities for professional growth and development.