Sr. ETL Developer / Data Engineer

ETL Developer / Data Engineer

Location: Dallas, TX (Hybrid – Local Candidates Only)

Interview Process: Onsite Interview Required

Duration: Long-Term Contract

Visa: GC / USC Only

Strong ETL Developer/Data Engineer with expertise in ETL pipeline development, advanced SQL, Databricks, data warehousing, large-scale data processing, performance optimization, and cloud/big data technologies including Python and Spark.

Job Description:

We are seeking an experienced ETL Developer / Data Engineer for a hybrid opportunity in Dallas, TX. The ideal candidate should have strong hands-on experience with ETL development, SQL, and Databricks, along with expertise in building scalable data pipelines and supporting enterprise data platforms.

Key Responsibilities:

Design, develop, and maintain ETL/data integration pipelines.

Develop and optimize complex SQL queries, stored procedures, and data transformations.

Build and support scalable data solutions using Databricks.

Work with large datasets for data extraction, transformation, and loading processes.

Collaborate with business and technical teams to gather requirements and deliver data solutions.

Troubleshoot performance bottlenecks and optimize ETL workflows.

Ensure data quality, integrity, and consistency across systems.

Support data migration and modernization initiatives.

Required Skills:

Strong ETL development experience.

Advanced SQL skills.

Hands-on experience with Databricks.

Experience working with large-scale data processing and data warehousing environments.

Strong analytical and problem-solving skills.

Ability to work in a hybrid onsite/offshore collaborative environment.

Preferred Skills:

Experience with cloud platforms (AWS/Azure/GCP).

Exposure to Python or Spark.

Experience with modern data engineering practices and big data technologies.