About Sharp Infotech Inc Sharp Infotech Inc is a technology consulting and digital solutions company that partners with organizations across the United States to deliver enterprise IT platforms, data engineering solutions, and digital transformation initiatives. Position Overview Sharp Infotech Inc is seeking Data Engineers / Databricks Engineers / Big Data Engineers to support enterprise data platform initiatives for our clients. The selected candidates will design and develop scalable data pipelines, implement lakehouse architectures, and support enterprise analytics platforms using technologies such as Databricks, PySpark, and Delta Lake. Client Project Assignment Key Responsibilities • Develop scalable ETL pipelines to process enterprise datasets • Build distributed PySpark transformations for high-volume workloads • Implement Databricks Lakehouse pipelines using Delta Lake • Design bronze, silver, and gold data models for analytics platforms • Optimize Spark workloads through partitioning, caching, and tuning • Implement data quality validation and governance mechanisms • Orchestrate data workflows using Databricks Jobs • Collaborate with BI teams delivering datasets for Power BI and Tableau • Support enterprise cloud migration and data validation initiatives Required Qualifications • Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field • Experience with Python and PySpark • Experience with Databricks or Apache Spark • Experience building ETL or ELT pipelines • Strong SQL and data transformation experience • Experience with Git or version control systems Preferred Qualifications • Experience with Delta Lake architecture • Experience with Azure, AWS, or Google Cloud • Experience supporting enterprise analytics platforms • Knowledge of lakehouse data architectures Equal Opportunity Employer Sharp Infotech Inc is an equal opportunity employer committed to fostering a diverse and inclusive workplace.