Data Engineer

Summary: The Data Engineer role is primarily focused on data engineering, data analysis, or database administration, with a strong preference for experience in public cloud environments such as AWS or Azure. Candidates should possess programming skills, particularly in Python, and have familiarity with data warehouse platforms and DevOps practices. The position emphasizes problem-solving and the ability to enhance data quality through various processes.

Key Responsibilities:

• Primary role in recent positions must be as a Data Engineer, Data Analyst, or Database Administrator
• Working experience in public cloud is strongly preferred (AWS, Azure)
• Experience with at least one programming language (e.g. Python) and some scripting experience (e.g., Bash/Shell) is a strong plus
• Experience with data warehouse platforms like Redshift, Snowflake or BigQuery is desired
• Familiarity with DevOps practices and CI/CD pipelines for data engineering (using Flyway, Liquibase) is preferred
• Knowledge of ETL tools and frameworks is strongly desired
• Ability to analyze complex data sets and identify patterns or trends
• Problem-solving skills to address data-related challenges
• Ability to assess and improve data quality through validation and cleansing processes
• A technical mindset focused on automating processes to reduce manual toil

Key Skills:

• Experience as a Data Engineer, Data Analyst, or Database Administrator
• Public cloud experience (AWS, Azure)
• Programming skills (e.g. Python)
• Scripting experience (e.g., Bash/Shell)
• Experience with data warehouse platforms (Redshift, Snowflake, BigQuery)
• Familiarity with DevOps practices and CI/CD pipelines
• Knowledge of ETL tools and frameworks
• Analytical skills for complex data sets
• Problem-solving skills
• Technical mindset for process automation

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT