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Data Engineer (Snowflake)

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

New York (USA), United States

Offer summary

Qualifications:

Bachelor's degree in Computer Science or related field, 5+ years of professional experience in data engineering, Proven experience with Snowflake and designing data models, Proficiency in SQL and relational databases, Familiarity with cloud platforms like AWS or Azure.

Key responsabilities:

Design and implement data models in Snowflake
Develop and maintain ETL processes for data ingestion
Optimize Snowflake performance for query execution
Collaborate with stakeholders on data access solutions
Monitor issues with the Snowflake environment, including troubleshooting

Jahnel Group SME https://www.jahnelgroup.com/

51 - 200 Employees

See all jobs

Job description

Jahnel Group's mission is to provide the absolute best environment for software creators to pursue their passion by connecting them with great clients doing meaningful work.

We get to build some of the most complex and compelling applications for our clients located across the country. We're a fast-growing INC 5000 recognized company, yet we still work as a very close-knit team (100+ employees). We're growing like crazy, and if you're looking for the next place to call home, hit us up for a beer or coffee.

Who We're Looking For

We are in search of a Data Engineer to join the team. This role requires a skilled Engineer with expertise in designing, implementing, and maintaining Snowflake data warehouse environments. You will be responsible for developing robust data models, creating efficient ETL processes, and optimizing performance to support the organization's data needs.

Primary Responsibilities

Design and implement data models within Snowflake to support business requirements.
Develop and maintain ETL processes to ingest data from various sources into Snowflake.
Optimize and tune Snowflake performance to ensure fast query execution and efficient resource utilization.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and provide solutions for data access and analysis.
Implement data security and governance best practices within Snowflake.
Monitor and troubleshoot issues with the Snowflake environment, including performance bottlenecks and data loading failures.
Document data warehouse design, ETL processes, and other relevant documentation.
Stay up-to-date with Snowflake best practices and new features, and make recommendations for their adoption.

Skills and Qualifications

Bachelor's degree in Computer Science, Information Systems, or a related field. Master's degree preferred.
5+ years of professional experience in data engineering.
Proven experience working with Snowflake, including designing data models and implementing ETL processes.
Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL).
Experience with data integration tools such as Informatica, Talend, or Apache NiFi.
Knowledge of data modeling and analytical concepts and best practices.
Familiarity with cloud platforms such as AWS, Azure, or GCP.
Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
Experience with version control systems (e.g., Git) and code deployment processes.
A self-motivated, results-oriented attitude that can thrive in a collaborative, cross-functional team.

Preferred Qualifications

Snowflake certification(s) (e.g., SnowPro Core Certification).
Experience with other data warehousing technologies such as Redshift, BigQuery, or Azure Synapse Analytics.
Knowledge of programming languages such as Python or Java.
Experience with data visualization tools such as Tableau or Power BI.
Experience working with financial data sets or accounting.

Where We're Looking For It