Data Engineer

#LI-Hybrid

Summary

We are seeking a skilled Data Engineer to join our dynamic team.

In this role, you will be responsible for designing, developing, and maintaining robust data pipelines and ETL processes.

You will work heavily with SQL and Alteryx to manage dataflows from sources such as AWS Redshift, enabling our business intelligence analysts and data visualization specialists to derive actionable insights.

Key Responsibilities

• Design, develop, and maintain scalable ETL pipelines.

• Perform data extraction, transformation, and loading (ETL) from various data sources

• Optimize and manage dataflows to ensure data integrity and performance.

• Collaborate with business intelligence analysts and data visualization specialists to understand data requirements.

• Develop and maintain SQL queries and scripts for data manipulation and analysis.

• Utilize Alteryx (or similar) for data preparation, blending, and advanced analytics.

• Monitor and troubleshoot data pipeline issues to ensure timely data availability.

• Implement data quality checks and validation processes.

• Document data processes, workflows, and best practices.

Qualifications

Required Skills

• Proficiency in SQL and experience with relational databases.

• Strong experience with ETL tools

• Knowledge of AWS Redshift and other cloud-based data warehousing solutions.

• Familiarity with data modeling and database design.

• Strong problem-solving and analytical skills.

• Ability to work collaboratively in a team environment.

• Excellent communication skills.

Nice-to-Have Skills

• Experience with other ETL tools and platforms.

• Knowledge of Python or other programming languages.

• Familiarity with data visualization tools such as Tableau or Power BI.

• Understanding of data governance and security best practices.

• Experience with big data technologies (e.g., Hadoop, Spark).

Educational Background

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.

A master's degree is a plus.

Work Experience

• 3+ years of experience in data engineering or a related field.

• Proven experience in designing and managing ETL processes.

• Hands-on experience with SQL and Alteryx.

• Experience working with cloud-based data solutions, particularly AWS Redshift.

Schedule: Full-time
Req: 009GNR