Data Engineer

Role: Data Engineer Location: Denver, CO - 4 days per week work from Client office Please find below JD for your reference. Primary Skill Expectations: Strong in SQL, Spark , Good Communication. Job Overview We are seeking a skilled professional with strong expertise in Python, Spark, and leading AI/ML frameworks to design and build scalable, intelligent data solutions. The ideal candidate will have hands‑on experience with big data platforms and distributed data processing. Design, develop, and maintain scalable ETL/ELT data pipelines using Apache Spark and SQL Build and optimize batch and near real-time data processing workflows across large-scale datasets Develop data ingestion, transformation, and data quality frameworks for enterprise data platforms Work with Delta Lake, data lakes, and cloud-based big data environments to ensure reliable data processing Perform data modeling, query tuning, and performance optimization for large datasets Integrate data from multiple source systems, databases, and external platforms Implement data validation, monitoring, and troubleshooting processes to ensure data integrity Collaborate with business analysts, architects, and cross‑functional teams to deliver data-driven solutions Support data governance, security, and compliance requirements across the data ecosystem Required Skills Strong proficiency in Apache Spark (PySpark) and SQL Extnsive experience developing and optimizing ETL/ELT pipelines Strong understanding of distributed data processing concepts and Spark architecture Experience working with relational and non-relational databases Proficiency in data modeling, performance tuning, and query optimization Experience with workflow orchestration and scheduling tools (e.g., Airflow, Control-M, Azure Data Factory, or similar) Familiarity with cloud data platforms such as Azure, AWS, or Google Cloud Strong problem‑solving, analytical, and troubleshooting skills Thanks & Regards, Pankaj Singh #J-18808-Ljbffr