Job highlights
- 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).
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Job description
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:
As a Data Engineer, you will be responsible for designing, implementing, and maintaining our data pipelines and warehouse solutions. You will work closely with analysts and business teams to ensure that clean, reliable, and well-structured data is available for decision-making. The ideal candidate is eager to solve complex problems, optimize data operations, and grow their skills in a dynamic startup environment.
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, an