Data Engineer

Veridic Solutions; Jacksonville (FL); Presencial; USD 110.000 - 170.000; Jornada completa

Descripción de la vacante

Veridic Solutions LLC is seeking a data-focused professional to design and implement scalable data warehousing solutions. The role requires expertise in dimensional modeling, ETL/ELT development, and cloud-based data warehouse platforms.

The ideal candidate will demonstrate strong SQL, Python/Scala skills and experience with both relational and NoSQL databases, along with governance and RBAC practices.

Formación

• Bachelor's degree and 6+ years in data analytics/engineering with focus on data warehouse design.
• Experience designing and implementing dimensional models (star/snowflake) for enterprise data warehouses.
• Hands-on ETL/ELT development with dbt, Informatica, Talend, Airflow or equivalent pipelines.
• 3+ years with cloud data warehouses (Snowflake, Redshift, BigQuery, Synapse).
• Strong SQL, Python and/or Scala for data processing.
• Experience with relational and NoSQL databases (SQL Server, MySQL, MongoDB, Cassandra).
• Experience with Microsoft Fabric/Synapse/OneLake.
• Experience implementing data governance, data quality frameworks, RBAC.
• Collaborate with other departments to align goals and deliver projects.

Responsabilidades

• Collaborate with other departments to align goals and objectives for project execution.

Descripción del empleo

• Bachelor's degree and 6+ years of experience in data analytics, data engineering, data architecture, or software engineering with a focus on data warehouse design and implementation.
• Proven experience designing and implementing dimensional data models (star schema, snowflake schema) for enterprise-scale data warehouses.
• Hands-on experience with ETL/ELT development using tools like dbt, Informatica, Talend, Apache Airflow, or custom data pipelines.
• 3+ years of experience working with cloud-based data warehouse platforms such as Snowflake, AWS Redshift, Google BigQuery, or Azure Synapse Analytics.
• Strong knowledge of SQL, Python, and/or Scala for data processing and transformation.
• Experience with relational and (preferably) NoSQL databases (e.g., SQL Server, MySQL, MongoDB, Cassandra).
• Experience with Microsoft Fabric/Synapse/OneLake preferred.
• Experience implementing data governance, data quality frameworks, and role-based access control (RBAC).
• Experience working closely with other departments and teams to ensure alignment on goals and objectives for successful project execution.