Company Overview :

Ayekart Fintech is a dynamic and rapidly growing fintech company focused on empowering traditional businesses in the agriculture and food processing sectors. We provide a technology-driven platform that facilitates seamless transactions, access to finance, and market linkages for farmers, processors, and retailers. Our innovative solutions are transforming the agricultural value chain, creating greater efficiency and transparency for all stakeholders. Ayekart operates across multiple states in India, impacting thousands of lives and driving sustainable growth in the rural economy.

Role Overview :

As a Data Engineer at Ayekart Fintech, you will play a crucial role in building and maintaining our data infrastructure. You will be responsible for designing, developing, and implementing ETL processes to extract, transform, and load data from various sources into our data warehouse. You will collaborate closely with data scientists, analysts, and business stakeholders to understand their data needs and provide them with reliable and scalable data solutions. Your work will directly impact the company's ability to make data-driven decisions and improve our services for our users.

Key Responsibilities :

- Design and develop robust ETL pipelines to ingest data from diverse sources, ensuring data quality and consistency.

- Build and maintain data warehousing solutions using PostgreSQL, optimizing for performance and scalability.

- Collaborate with data scientists and analysts to understand their data requirements and provide them with the necessary data infrastructure and tools.

- Implement data integration solutions to connect various systems and applications, enabling seamless data flow across the organization.

- Develop data visualization dashboards and reports to communicate key insights to stakeholders.

- Monitor and troubleshoot data pipelines, ensuring data availability and reliability.

- Contribute to the development of data architecture and data governance policies.

Required Skillset :

- Proven ability to write complex SQL queries and optimize database performance.

- Demonstrated proficiency in Python programming for data manipulation and automation.

- Experience in designing and implementing ETL processes using industry-standard tools and techniques.

- Solid understanding of data warehousing concepts and principles.

- Familiarity with data architecture patterns and best practices.

- Hands-on experience with PostgreSQL or other relational databases.

- Ability to create insightful data visualizations using tools like Tableau or Power BI.

- Strong communication and collaboration skills, with the ability to work effectively in a team environment.

- Bachelor's degree in Computer Science, Engineering, or a related field.