Job Description
Take your career to the next level with the only consulting firm born in AI and delivering with AI.
At Atrium, we’re not simply adapting to an AI-driven world — we’ve helped define it since we were founded. Our clients partner with us because we turn potential into measurable impact, reshaping industries, realizing exponential value, and empowering organizations to thrive in an era of unprecedented technological advancement.
As pioneers in AI-assisted delivery, we’re constantly optimizing how we deliver services for greater speed, accuracy, and efficiency. This commitment allows us to repeatedly deliver outcomes that other Salesforce and Snowflake partners merely promise. Care to join us?
Who are you?
You’re a smart collaborator who likes solving complex problems and takes ownership to get things done. You stay up to date with the latest and greatest in business and technology tools, platforms, and languages — and want to ensure your clients do too. You love working across teams and are enthusiastic about doing your part to ensure everyone succeeds.
What will you be doing at Atrium?
In this role, you will join the best and brightest in the industry to skillfully push the boundaries of what’s possible. You will work with customers to make smarter decisions through innovative problem solving using data engineering, Analytics, and systems of intelligence.
As a Snowflake Data Engineering Consultant, you will be responsible for designing, building, and maintaining data pipelines to extract, transform, and load (ETL) data from various sources into data warehouses and data lakes. You will support the software developers, database architects, data analysts and data scientists on data initiatives and will ensure data delivery is consistent throughout ongoing projects.
- The Snowlake Data Engineering Consultant will:
- Create and maintain optimal data pipeline
- Integrate data from multiple sources, both internal and external, ensuring data consistency and accuracy.
- Help in building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, AWS, and Big Data technologies
- Implement the Data Quality checks to ensure accuracy, consistency, and integrity of data. Also monitoring processes to ensure data integrity and reliability.
- Design, implement, and maintain data models that can support the organization's data storage and analysis needs
- Create and maintain documentation for data pipelines, data dictionaries, and data lineage.
- Provide support for data-related issues and assist with troubleshooting and problem resolution.
- In this role, you will have:
- Bachelor's degree in Computer Science, Software Engineering, or equivalent combination of relevant work experience and education
- 2+ years of experience with Snowflake
- 1+ year of experience delivering consulting services to medium and large enterprises
- SnowPro Core certification is highly desired
- Hands-on experience with Python (Pandas, Dataframes, Functions)
- Hands-on experience with SQL (Stored Procedures, functions), including debugging, performance optimization, and database design
- Experience with Apache Airflow and API integrations
- Experience with any one of the ETL/ELT tools (DBT, Coalesce, Wherescape, Mulesoft, Matillion, Talend, Informatica, SAP BODS, DataStage, Dell Boomi, etc.)
- Enthusiastic, professional, and confident team player with a strong focus on customer success who can present effectively even under adverse conditions
- Strong presentation and communication skills
Next Steps
Recruiting at Atrium is highly personalized. While some candidates may complete the hiring process quickly, others may take a bit longer, depending on the role and its requirements. We’re excited to get to know you and ensure you get to know our team along the way.
At Atrium, we believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.
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