Data Engineer

Team Overview: Join a high-impact team of six data specialists in India driving innovation through expert transformation, integration, and migration strategies for modern data platforms.

Your Impact: Design, build, and optimize robust data pipelines. Leverage expertise in cloud architectures to transform raw data into insights, ensuring scalability, performance, and reliability across the ecosystem while collaborating with US partners on complex data challenges.

Key Responsibilities:

• Pipeline Development: Design scalable ETL/ELT pipelines.
• Data Modelling: Architect efficient models for analytical needs.
• Optimization & Transformations: Monitor performance and execute high-quality transformations.
• Collaboration: Partner with cross-functional teams to translate data needs into technical solutions.
• DevOps Best Practices: Implement CI/CD workflows using Git, ensuring smooth deployment cycles.

Minimum Qualifications:

• Experience: 2-4 years in Data Engineering (minimum).
• Specialization: At least 2 years with DBT and Snowflake.
• Technical Proficiency: Advanced Python, SQL, cloud data warehousing concepts, complex ETL design.
• Cloud & DevOps: Strong experience with AWS services and CI/CD tools (GitLab/GitHub).
• Agile Experience: Jira proficiency for end-to-end SDLC management including sprint planning and backlog grooming.

Preferred Qualifications:

• Cloud-Native Data Integration: Matillion experience for ELT workflows on AWS.
• Modern ELT Orchestration: Meltano expertise for CLI-driven pipelines.
• Microservices Architecture: Experience in modular service development, API design, and distributed systems.