AWS Databricks Engineer – Dallas, TX (Local Only, Onsite) – 10+ Years – Must Have: AWS, Python, PySpark, Databricks, AWS Glue, SQL, Kafka, Redshift, ETL, Delta Lake, CI/CD – In-Person Interview Mandatory.

AWS Databricks Engineer – Dallas, TX | Local Only | Onsite --

Work Mode: Onsite - Inperson interview is MUST

Required Skills:

• 10+ years of strong hands-on experience with AWS services

• Strong expertise in Python and PySpark development

• Strong hands-on experience with Databricks

• Experience developing Databricks notebooks, workflows, and ETL pipelines

• Strong knowledge of Apache Spark / PySpark and distributed data processing

• Experience with Databricks Delta Lake / Delta tables

• Hands-on experience with Databricks SQL and data transformation

• Experience building and optimizing Databricks ETL/data engineering pipelines

• Experience with AWS Glue and ETL process development

• Strong SQL skills for data transformation, analysis, and optimization

• Hands-on experience with Kafka for real-time data processing

• Experience with Amazon Redshift

• Experience integrating Databricks with AWS services, including S3, Glue, and Redshift

• Knowledge of Git pipelines and CI/CD processes

• Experience deploying and managing Databricks jobs/workflows through CI/CD

• Strong understanding of ETL workflows and data integration

• Experience in ETL testing, validation, and data quality checks

• Expertise in ETL automation frameworks and process optimization

• Experience with data pipeline performance tuning and Spark optimization

• Strong understanding of batch and real-time data processing

• Experience troubleshooting and optimizing Spark/Databricks jobs

• Strong knowledge of data lake / data warehouse concepts

• Experience working with large-volume datasets and distributed processing

Must Have: AWS + Python + PySpark + Databricks + AWS Glue + SQL + Kafka + Redshift + ETL