Associate Data Engineer

What you'll do

• Design and implement scalable data architecture and management systems for modern cloud environments.
• Build, optimize, and manage ETL/ELT ingestion pipelines using tools like Spark, Hadoop, or Python.
• Perform data cleaning, validation, and preprocessing to ensure the integrity and accuracy of datasets.
• Resolve technical issues related to database integration and inconsistent, unstructured data sets.
• Create visual dashboards and reports to communicate complex findings to both technical and non-technical stakeholders.
• Analyze data to identify trends and provide actionable insights for client marketing and operations.
• Translate client business requirements into specific technical solution requirements and operational use cases.

What we're looking for

• High School Diploma or GED.
• Bachelor's Degree in a related field (preferred).
• Ability to incorporate various statistical and machine learning techniques.
• Basic understanding of Cloud platforms such as AWS or Azure.
• Ability to use programming languages including Java, Python, and Scala to build data pipelines.
• Ability to use ETL tools, Linux, SQL, Spark, Hadoop, and other data integration tools.
• Experience with data warehouse design, analytics pipelines, and capstone data engineering projects.
• Proficiency in SQL, Python, dbt, Snowflake, Big Query, Airflow, and CI/CD basics (preferred); GenAI literacy (preferred); SnowProcore or Databricks certifications (preferred).