One of our clients is looking for an experienced Senior Data Engineer - USA (Remote) for a full-time opportunity.
Note: Due to the client's requirements, we are only considering US Citizens, Green Card holders, and TN visa holders at this point in time. No H-1B, EAD, or Third-Party vendors.
Must-Have Skills: Data Engineering, Azure Databricks, Microsoft Azure, PySpark, Apache Spark, SQL, Python, Delta Lake, Azure Data Factory (ADF), Data Integration, Data Ingestion & Transformation, Databricks Certification is a plus.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
- 13+ years of experience in Data Engineering, Data Architecture, or Cloud Data Platforms.
- 5+ years of strong hands-on experience with Azure Databricks and Azure Cloud services.
- Strong expertise in PySpark, Apache Spark, Spark SQL, SQL, and Python.
- Proven experience designing and developing scalable ETL/ELT data pipelines.
- Hands-on experience designing and implementing Lakehouse and Medallion Architecture (Bronze, Silver, Gold).
- Strong hands-on experience with Azure Data Factory (ADF), Azure Data Lake Storage Gen2 (ADLS Gen2), and Delta Lake.
- Strong understanding of data modeling, data warehousing, performance tuning, and optimization.
- Experience with CI/CD, Git, Azure DevOps, and deployment best practices.
- Knowledge of Unity Catalog, data governance, security, and access management in Azure Databricks.
- Experience with data integration, ingestion, transformation, and processing of large-scale datasets.
- Strong problem-solving and stakeholder communication skills.
- Experience working in Agile/Scrum environments.
- Databricks Certification is a plus.
Interested candidates: Please send your updated resume to harsh@phtstaffing.com.
