Snowflake Developer

ATS Data Engineering department is responsible for designing, building, and maintaining the scalable data infrastructure that powers the company s analytics, AI models, and business intelligence efforts. The team works closely with stakeholders across Engineering, Product, and Business units to ensure clean, reliable, and accessible data for decision-making and product features.

Role Overview:

Data Engineer

Key Responsibilities:

• Design, build, and maintain scalable ETL/ELT pipelines to integrate various data sources into Snowflake.
• Optimize data warehouse architecture and performance to support analytics and dashboarding needs.
• Collaborate with analysts and business teams to understand data requirements and ensure accessibility.
• Ensure data integrity, security, and governance across all data workflows.
• Work with modern data tools and frameworks to automate and improve data processing.
• Develop and maintain monitoring systems to detect and resolve data pipeline failures efficiently.
• Continuously evaluate and improve data workflows and processing efficiency.

What Were Looking For:

• 3-4+ years of experience in data engineering, preferably in a fast-paced startup environment.
• Strong experience with Snowflake, including warehouse optimization and SQL performance tuning.
• Proficiency in SQL and Python for data transformation and automation.
• Hands-on experience with ETL/ELT tools and frameworks (e.g., dbt preferable).
• Experience in data modelling and schema design for analytics dashboarding and reporting tools (e.g., Looker, Tableau, Power BI).
• Optimizing data for visualization.
• Strong problem-solving skills and eagerness to learn new technologies.

Why Join Us:

• High-growth environment with career acceleration opportunities.
• Fixed salary + attractive incentive structure.
• Exposure to top clients and enterprise accounts.
• Be a core part of a young, fast-moving, and mission-driven team.