Senior Data Engineer

Job Title: Senior Data Engineer Location: Forth, TX — On-site, face-to-face mandatory Duration: Long term Responsibilities • Architect, develop, and maintain ETL/ELT pipelines using Azure Databricks, ADF, and Snowflake. • Implement scalable batch and streaming data processing solutions with PySpark/Scala. • Design and optimize SQL for data modeling, transformations, and analytical workloads. • Integrate diverse data sources (cloud, on-premises, APIs) and ensure data quality, lineage, and observability. • Collaborate with solution architects, product owners, and analytics teams to convert business requirements into technical designs. • Apply best practices for data governance, security, performance tuning, and monitoring. • Lead incident response, root cause analysis, and remediation for production issues. • Produce clear technical documentation and operational runbooks. Required Qualifications • Minimum 5 years of professional data engineering experience. • Proven expertise with Databricks (Azure Databricks preferred). • Strong experience with Microsoft Azure data services, including ADF, ADLS/Blob Storage; Synapse experience is a plus. • Hands-on experience with Snowflake: schema design, performance optimization, security controls. • Advanced SQL skills and experience with both normalized and denormalized schemas. • Proficiency in Python and PySpark; Scala experience is advantageous. • Familiarity with CI/CD for data pipelines and infrastructure-as-code (Terraform/ARM/Bicep). • Solid understanding of data governance, metadata management, and security best practices. • Strong analytical, communication, and collaboration skills. • Eligibility: U.S. Citizen, H4 EAD, or GC EAD only. Preferred Qualifications • Experience with streaming technologies (Structured Streaming, Kafka). • Exposure to BI tools such as Power BI or Tableau. • Consulting or client-facing experience.