Data Engineer

4 days ago


Glen Allen, Virginia, United States Rising Tide Solutions Full time
About Us:

Welcome to Rising Tide Solutions, the innovation lab where data meets discovery As a premier AI, Data, and Software consulting firm, we specialize in harnessing the power of data to brew up groundbreaking solutions that drive businesses forward.

We're seeking a highly skilled Data Engineer to join our elite lab team, leveraging expertise in dbt, Snowflake, SQL, Azure Databricks, and Azure Data Factory to create high-performance data pipelines and transformative solutions.


Key Responsibilities:

Data Experiments & Workflow :
Utilize dbt to transform, clean, and model raw data, creating optimized data workflows that deliver clean, reliable datasets.

Data Pipeline Creation :

Design and build automated ETL/ELT pipelines using Azure Data Factory to streamline data ingestion and transformation from various sources.


Snowflake Integration :
Implement Snowflake as the core data warehousing solution, ensuring efficient data storage, query performance, and scalability.

Advanced Data Processing :
Leverage Azure Databricks to perform large-scale data processing and build machine learning models, handling massive datasets with ease.

SQL Magic :
Write and optimize complex SQL queries to extract, manipulate, and analyze data for enhanced performance.

Pipeline Optimization :
Continuously test, troubleshoot, and refine pipelines to ensure high availability and performance.

Collaboration Across Teams :
Work with data scientists, engineers, and business stakeholders to understand data requirements and deliver best-in-class data solutions.

Required Skills & Experience:
Strong hands-on experience with dbt, Snowflake, SQL, Azure Databricks, and Azure Data Factory.
Proven ability to design and implement scalable ETL/ELT data pipelines in a cloud environment.
Experience working with large datasets and processing them through distributed systems like Azure Databricks.
Strong SQL skills for data querying, manipulation, and optimization.
Knowledge of data warehousing, data modeling, and data governance best practices.
Strong problem-solving abilities and an experimental mindset, constantly searching for ways to improve performance and efficiency.

Preferred Qualifications:
Experience working in Azure cloud environments.
Familiarity with CI/CD pipelines for continuous integration and deployment of data pipelines.
Experience with data visualization tools and how they integrate with back-end data pipelines.
Ability to communicate complex technical concepts to non-technical stakeholders.

Lab Perks (What We Offer):
We offer a flexible work environment, 40 hours a year for professional development, and a family-first approach to work-life balance. We're committed to providing a safe and inclusive environment for all employees, contractors, vendors, and clients; where all people are honored and respected, and differences are celebrated.
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