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Data engineer

Veridic SolutionsJacksonville, FL🇺🇸United States

Why this role stands out

As a Data Engineer at Veridic Solutions, you'll leverage your expertise in cloud data warehousing and ETL/ELT development to build robust data solutions, offering significant opportunities for professional growth. This on-site role in Jacksonville, FL is ideal for experienced data professionals who thrive in collaborative environments and are eager to contribute to impactful projects. Apply now to join a dynamic team and advance your career in data engineering.

Quick overview

SeniorityMid Senior
Work modeOn Site
LocationJacksonville, FL, United States
MongoDBMySQLSQLScalaAWSETLSnowflakeAirflowApacheBigQueryCassandraPythonRedshiftdbtAzureSQL ServerData Analysis

Job description

Role: Sr. Data engineer

Location: Jacksonville, FL (onsite)

Job type: Fulltime

Qualifications Educational and Experience Requirements

  • 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.
  • Perform work under minimal supervision.

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