Data Engineer with Databricks

Position: Data Engineer with Databricks Location: Hybrid in either Phoenix, AZ or Dallas, TX ( As and when required in office) Duration: Full Time Job Description: We are looking for an experienced Data Engineer with 7–10 years of experience building and maintaining scalable data pipelines and data platforms. The ideal candidate should have strong experience with Python/SQL, ETL/ELT, cloud platforms, data warehousing, and big data technologies. Key Responsibilities: • Design, develop, and maintain scalable ETL/ELT data pipelines. • Build and optimize data warehouses, data lakes, and data processing solutions. • Work with Data Architects, Analysts, BI teams, and application teams. • Develop data solutions using Python, SQL, and Spark. • Implement data integration from databases, APIs, and various data sources. • Monitor pipeline performance, troubleshoot failures, and improve data quality. • Support cloud migration and modernization initiatives. • Follow best practices for data security, governance, and documentation. Required Skills: • 7–10 years of experience in Data Engineering. • Strong Python and SQL skills. • Experience with AWS, Azure, or GCP. • Hands-on experience with Snowflake, Databricks, Redshift, Synapse, or BigQuery. • Strong knowledge of ETL/ELT and data warehousing. • Experience with Apache Spark and preferably Kafka. • Good understanding of data modeling and cloud data architecture. Preferred: Experience with Airflow, Kafka, Databricks, Snowflake, CI/CD, Docker/Kubernetes, and Power BI/Tableau.