Senior Snowflake Data Engineer

Job not on LinkedIn

🕒 March 19

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Exavalu

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

🤝 B2B

🏦 Banking

⚕️ Healthcare Insurance

B2B • Banking • Healthcare Insurance

Exavalu is a business advisory and technology consulting firm that partners with enterprises to deliver high-impact digital transformation. Run by former CIOs, CXOs, and consulting principals, Exavalu offers strategic advisory, core systems transformation, systems integration, data & analytics, innovation and privacy/compliance solutions across regulated sectors. The firm focuses on Insurance, Banking & Financial Services, and Healthcare & Life Sciences, providing industry-tailored technology implementations and program leadership using partners like Guidewire, Salesforce, MuleSoft, PegaSystems and AWS.

📋 Description

• Design, develop, and maintain Snowflake-based data warehouse solutions. • Build scalable ELT/ETL pipelines using Snowflake-native capabilities and tools like DBT. • Implement data ingestion frameworks for structured and semi-structured data (JSON, Parquet, Avro). • Optimize Snowflake performance using warehouse sizing, multi-cluster configurations, partitioning, clustering, and query tuning. • Drive cost optimization and usage monitoring within Snowflake environments. • Integrate Snowflake with cloud platforms (AWS S3, Glue, or Azure services). • Develop event-driven ingestion patterns for real-time data processing. • Build data validation, reconciliation, and monitoring frameworks to ensure data quality.

🎯 Requirements

• 7+ years of overall experience in data engineering. • 3+ years of hands-on experience with Snowflake development. • Strong experience working with Snowflake on AWS or Azure. • Advanced proficiency in SQL, including performance tuning. • Experience with Python or Scala for data processing. • Solid understanding of data warehousing concepts and ELT/ETL design patterns. • Strong knowledge of distributed data processing frameworks.

🏖️ Benefits

• Diversity Inclusion: Exavalu also promotes flexibility, adapting to the needs of employees, customers, and the business. It might be part-time work, working outside normal 9-5 business hours or working remotely. • Welcome back program to help individuals return to the mainstream after a prolonged absence due to health or family reasons. • Commitment to building a diverse and inclusive workforce.