Software Development Engineer I – Data Engineer

Job Location: Bangalore

Team: Risk & Data Science

About Us

Zype is a lifestyle and financial well-being app for the youth out there. We are an energetic team with the right ingredients to build a successful company, backed by experienced professionals and a marquee private equity firm. We strongly believe in providing a work environment that nurtures knowledge and skills at an individual level and are on the path to launching big in the next few months.

If you’re looking for boosting your career by touching the lives of millions through your talent, Zype is surely your type.

Overview

As a SDE1 in our fintech organization specializing in credit line products, you’ll contribute to shape our data infrastructure and ensuring the reliability, scalability, and security of our data systems. You will leverage your expertise in data engineering, AWS services, and analytical skills to design, develop, and maintain our data pipelines and architecture.

Key Responsibilities

• Data Understanding and Modelling: Investigate, review, and analyze structured and unstructured data sources to build an in-depth understanding of the underlying data and business domain. Design and create common/master data models based on this understanding.
• Architectural Design and Implementation: Collaborate with leadership to design and implement data engineering architecture, ensuring high availability, scalability, and reliability of systems.
• Data Ingestion and ETL Development: Lead the development of a data lake by ingesting data from various sources. Build scalable and reliable ETL pipelines and processes to handle a diverse range of data sources.
• Mission-Critical Systems Development: Design and develop systems with a focus on high availability and performance to meet critical business needs.
• Data Performance and Availability: Ensure high performance and availability of data for analytics and data science teams.
• Collaboration and Technical Solutions: Work closely with technical engineers and architects to deliver appropriate technical solutions aligned with business requirements.
• Data Security and Infrastructure Ownership: Take ownership of data security measures for the organization. Forecast and manage data infrastructure needs.
• Adaptability and Startup Environment: Display a self-motivated, adaptable, and driven mentality, thriving in a fast-paced startup environment.
  
  

Qualifications And Skills

• Bachelor’s/master’s degree in computer science or related field with 1-2 years of working experience in data engineering and Python development.
• Expertise in Python, SQL, data warehousing, table provisioning, and query authoring.
• Hands-on expertise in RDBMS and understanding of NoSQL databases.
• Proficiency in AWS services like S3, Athena, and ETL tools (e.g., AWS Glue) is essential.
• Experience working with data formats such as Parquet, JSON, and XML.
• Familiarity with BI tools is advantageous.
• Strong analytical and problem-solving skills, coupled with excellent written and verbal communication abilities.
  
  

Join us in shaping and maintaining a robust data infrastructure that supports our mission to provide efficient and secure credit line products to our customers!