Remote SQL & Data Warehouse Engineer – ETL/BI

South Geeks LLC; United States; A distancia; USD 110.000 - 160.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Long-term projects

100% remote

Payment in USD

Paid time off

Work-from-home

Training reimbursement

English lessons

Technical training

Career coaching

Descripción de la vacante

South Geeks LLC is seeking a data engineer to design and optimize SQL queries, build robust ETL/ELT pipelines, and maintain data warehouse processes.

You will analyze execution plans, implement data quality checks, and troubleshoot data discrepancies while collaborating with analysts and business users across a 100% remote environment in the United States.

Experience with cloud data warehouses such as Snowflake or Databricks is preferred, along with BI tools like Power BI or Tableau.

Formación

• 3+ years of complex SQL including joins, CTEs and window functions.
• 3+ years developing ETL processes for a data warehouse.
• Cloud data warehouse experience, preferably Snowflake or Databricks.
• ETL tool experience such as Databricks, Informatica, Talend, or AWS Glue.
• Strong analytical and problem-solving skills.
• Clear written and verbal communication in English.

Responsabilidades

• Write complex, efficient SQL queries, stored procedures, views, and functions.
• Analyze execution plans and fix performance bottlenecks.
• Design, develop, and maintain ETL/ELT pipelines into the warehouse.
• Build data quality checks, validation, and error handling.
• Troubleshoot ETL job failures and data discrepancies.
• Document data flows, mappings, and technical designs.
• Work with analysts and business users; take part in code reviews.

Conocimientos

SQL

ETL

Analytical thinking

Communication

Herramientas

Databricks

Informatica

Talend

AWS Glue

Snowflake

Descripción del empleo

South Geeks LLC is seeking a data engineer to design and optimize SQL queries, build robust ETL/ELT pipelines, and maintain data warehouse processes.

You will analyze execution plans, implement data quality checks, and troubleshoot data discrepancies while collaborating with analysts and business users across a 100% remote environment in the United States.

Experience with cloud data warehouses such as Snowflake or Databricks is preferred, along with BI tools like Power BI or Tableau.