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, and Python.
• Perform data cleaning, validation, and preprocessing to ensure the integrity and accuracy of datasets.
• Resolve technical issues related to database integration and inconsistencies in complex, unstructured data.
• Create visual dashboards and reports to communicate data findings to both technical and non-technical stakeholders.
• Analyze large datasets to identify trends and provide actionable insights for client business operations.
• Translate client requirements into 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 like Java, Python, or Scala to build data pipelines.
• Ability to use ETL tools and technologies including Linux, SQL, Spark, and Hadoop.
• Experience with ETL/ELT projects, data warehouse design, and analytics pipelines (preferred).
• Proficiency in SQL, Python, dbt, Snowflake, BigQuery, Airflow, and CI/CD basics (preferred); GenAI literacy (preferred); SnowProCore or Databricks certifications (preferred).