Atlan

Analytics Engineer

India

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Data Management & AnalyticsIndustries

Requirements

Candidates should possess expertise in Data Transformation & Modeling, with strong hands-on experience designing, building, and maintaining reliable data transformation pipelines and scalable data models using expert SQL, modern transformation tools (like dbt), and cloud data warehouses (like Snowflake). Understanding modern data integration patterns (ETL/ELT tools like Fivetran) is key, and a commitment to data quality and reliability through rigorous testing and meticulous attention to detail is essential.

Responsibilities

The Analytics Engineer will design, build, and manage robust data transformation pipelines, turning raw data into clean, reliable assets using SQL and modern data transformation tools (like dbt). They will model data effectively within the Snowflake warehouse, ensuring data quality through strong testing practices, and identifying appropriate tools to adopt and discard as the modern data stack evolves with AI. This role involves collaborating closely with teams across Atlan to deliver the data needed to drive decisions and power the company’s growth and AI future.

Skills

SQL
dbt
Snowflake
Fivetran
Data Transformation
Data Modeling
Data Quality
ETL/ELT
Git
Data Integration
Problem-Solving

Atlan

Unified platform for data management and collaboration

About Atlan

Atlan offers a platform for data management that helps teams access and understand their data while promoting collaboration. Its unique data catalog organizes metadata, reducing data silos and integrating with various industry tools to create a comprehensive data stack. The company uses a pay-as-you-go revenue model, making it flexible for businesses of all sizes, and is known for its strong customer service with quick response times. Atlan's goal is to streamline data management processes, enhancing data accessibility and collaboration for organizations.

Key Metrics

Singapore, SingaporeHeadquarters
2019Year Founded
$195.5MTotal Funding
SERIES_CCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
201-500Employees

Benefits

Remote Work Options

Risks

Emerging startups with similar capabilities could dilute Atlan's market share.
Rapid AI evolution may require Atlan to invest heavily in R&D.
Over-reliance on key partnerships poses risks if terms change or dissolve.

Differentiation

Atlan offers a unique data catalog that organizes and activates metadata effectively.
The platform integrates seamlessly with tools like Slack, Snowflake, and Tableau.
Atlan provides a personalized, collaboration-first experience for data management.

Upsides

Atlan raised $105M in Series C funding, boosting its valuation to $750 million.
The demand for data democratization tools is increasing, benefiting Atlan's offerings.
Growing interest in AI and machine learning enhances Atlan's data processing capabilities.

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