Data Engineer
February 3
Description
• Data Architecture Mastery: Architect, build, and maintain expansive and resilient data pipelines capable of handling an avalanche of data with grace and efficiency. • Data Transformation Wizardry: Harness the power of dbt (Data Build Tool) to refine and deposit data into Snowflake, championing data integrity and coherence. • SQL Artistry: Craft intricate SQL queries for data manipulation and extraction, fine-tuning performance to handle vast datasets with finesse. • Schema Design and Data Modeling: Elevate database schema design and data modeling to an art form, tailoring solutions that resonate with our business imperatives. • Continuous Integration/Deployment: Spearhead the CI/CD for data pipelines, ensuring seamless updates and maintenance. • Documentation Stewardship: Create and preserve crystal-clear data documentation, serving as the blueprint for our data infrastructure. • Performance and Cost Vigilance: Keep a hawk's eye on the performance and economics of our data pipelines and warehouses, optimizing for peak efficiency and value.
Requirements
• Data Engineering Prodigy: Proven prowess in data engineering, with a deep-seated expertise in dbt, Snowflake, SQL, and the architecture of data systems. • ETL and Data Warehousing Sage: A profound grasp of ETL processes, data warehousing, and data modeling, with the ability to weave these elements into a coherent, efficient whole. • Analytical Virtuoso: Exceptional problem-solving acumen and a meticulous eye for detail. • Autonomous Yet Collaborative: The capability to thrive independently and as a vibrant contributor to our team. • Communicative Maestro: Outstanding communication skills, ensuring fluid collaboration with teammates and stakeholders alike.
Benefits
• Opportunity to work remotely. • Competitive salary and benefits package. • Dynamic work environment and continuous learning culture. • Education and Wellness Program
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