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Job Description
Note - Immediate to 30 Days only.
Project Context Our team is currently setting up an Amazon Collaborative Commerce (ACC) data environment, extracting data through AWS APIs and storing it in Amazon S3, with plans to develop a dedicated AWS-based data lake. This data then will be loaded, processed and maintained in snowflake database. Role Overview We are looking for an experienced Snowflake Developer with strong expertise in Snowflake, SQL and ETL/ELT. Build and own Data Modelling as per Snowflake LSA, integration and ingestion from different sources into Snowflake, delivering clean, source-aligned datasets and data products that can be consumed by end users. Key Responsibilities
• Design, develop, and maintain Snowflake data modelling as per LSA and warehouse solutions.
• Develop scalable ELT/ETL pipelines to load data from AWS S3 Bucket, Rest API’s and other sources into Snowflake (using Snowflake best practices.)
• Create and manage Snowflake databases, schemas, tables, views, stages, tasks, streams, and stored procedures.
• Implement data quality frameworks, governance, lineage, and metadata management across multiple environments.
• Optimize Snowflake performance, query tuning, clustering, and warehouse sizing.
• Implement data sharing, security, masking policies, and role-based access control (RBAC).
• Work on Structured data, semi-structured data handling using JSON and manual files.
• Implement Row Level Security setup on snowflake.
• Migrate existing data from Azure SQL server to Snowflake.
Mandatory/Required:
• Data Modelling – Snowflake LSA
• Proficiency in SQL, Snowflake DBT and ETL processes.
• Strong understanding of Snowflake architecture.
• Professional experience in data engineering and analytics engineering.
• Experience working with large enterprise datasets and analytics-driven applications
• Strong analytical, problem-solving, and communication skills
Good to have
• Experience with AWS services, DBT, Python.
• Knowledge of CI/CD tools.
• Understanding of data warehousing concepts.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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Skills Required
- Data modeling using Snowflake LSA
- Proficiency in SQL, Snowflake, dbt, and ETL processes
- Strong understanding of Snowflake architecture
- Professional experience in data engineering and analytics engineering
- Experience with large enterprise datasets and analytics-driven applications
- Strong analytical, problem-solving, and communication skills
- Experience with AWS services
- Experience with Python
- Knowledge of CI/CD tools
- Understanding of data warehousing concepts
Fractal Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fractal and has not been reviewed or approved by Fractal.
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Healthcare Strength — Health coverage includes medical, dental, and vision along with tax‑advantaged accounts and EAP in the U.S., indicating a broad core package. Feedback suggests core protections exist across regions, though specifics can vary by location.
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Leave & Time Off Breadth — Time‑off programs include generous PTO, paid holidays and sick time, paid volunteer time, and sabbaticals in some areas. Some accounts also describe manager‑approved or flexible PTO approaches alongside hybrid/WFH latitude.
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Flexible Benefits — Work arrangements commonly include remote/hybrid options and flexible schedules. Flexibility is frequently highlighted as part of the overall value proposition.
Fractal Insights
What We Do
Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.
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