Data Analytics Engineer: ETL, BI & Databricks

Guidehouse; Atlanta (GA); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Medical insurance

401(k) retirement plan

Paid time off

Job summary

Guidehouse seeks a data analytics engineer to support analytics across enterprise data lakes and BI platforms. You will design, develop, and maintain ETL/ELT pipelines and ensure data quality and governance through metadata and lineage documentation.

You will work with Databricks, ODI, SQL, and Python to transform large datasets and deliver scalable reporting solutions. Ideal candidates have a technical bachelor’s degree and 3+ years in data analytics or BI with hands-on experience in Power BI,

Qualifications

• Bachelor’s degree in a technical field is required.
• Three or more years of professional experience in data analytics, reporting, data engineering, or BI initiatives.
• Hands-on experience with enterprise data lakes, data warehouses, and analytics platforms.
• Strong expertise with Databricks, ODI, SQL, Python, and data integration/quality.

Responsibilities

• Support data analytics, reporting, and data engineering across data lakes, warehouses, and BI platforms.
• Design, develop, and maintain ETL/ELT data pipelines for reporting needs.
• Use Databricks, ODI, SQL, and Python to transform and validate large datasets.
• Perform data quality assessments and support governance via metadata and lineage.

Skills

Data analytics

ETL/ELT development

Data integration

Data quality

Metadata management

Education

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or related

Tools

Databricks

Oracle Data Integrator (ODI)

SQL

Python

Power BI

Oracle Analytics Server (OAS)

Tableau

Job description

Guidehouse seeks a data analytics engineer to support analytics across enterprise data lakes and BI platforms. You will design, develop, and maintain ETL/ELT pipelines and ensure data quality and governance through metadata and lineage documentation.

You will work with Databricks, ODI, SQL, and Python to transform large datasets and deliver scalable reporting solutions. Ideal candidates have a technical bachelor’s degree and 3+ years in data analytics or BI with hands-on experience in Power BI,