Full-Time Analytics Engineer
Atlan is hiring a remote Full-Time Analytics Engineer. The career level for this job opening is Experienced and is accepting India based applicants remotely. Read complete job description before applying.
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Data is crucial for modern business, but its volume and complexity often overwhelm teams. Atlan solves this by providing the world's first active metadata platform, transforming data chaos into clarity and collaboration.
We empower teams across industries from Fortune 500 leaders to hyper-growth startups.
Role Importance: This Analytics Engineer role is critical for Atlan's AI-native future. You'll ensure data quality, facilitating faster decisions and rapid innovation.
Your Mission:
- Build and own world-class data foundations.
- Design, build, and manage data transformation pipelines.
- Turn raw data into clean assets using SQL and dbt.
- Model data in Snowflake and ensure data quality via testing.
- Identify and adopt best tools as the data stack evolves with AI.
- Collaborate with teams to provide data for decisions and AI.
Ideal Match Requirements:
- Expertise in Data Transformation & Modeling: Strong experience in designing, building, and maintaining pipelines and models using SQL, dbt, and Snowflake. Understanding ETL/ELT tools like Fivetran is key.
- Commitment to Data Quality: Ensure data accuracy and reliability via testing and collaboration.
- Strong Problem-Solving Skills: Tackle complex data challenges and translate business needs into solutions.
- Excellent Collaboration & Communication: Work cross-functionally and communicate effectively with diverse audiences.
- Ownership: Take initiative and responsibility for the quality and impact of data assets.
- Passion for Insights: Motivate others with data insights using tools like Sigma.
- AI Ready: Explore future of AI in analytics, data engineering, and business intelligence.
Why Atlan?
- Ownership from Day One: Impactful projects, growth opportunities, and collaboration with industry leaders.
- Limitless Opportunities: Initiative and hard work will lead to outstanding career growth.
- Global Data Community: Contribute to open-source projects, sponsor meetups, and learn through conferences.
We are an equal opportunity employer.