Senior Data Engineer

Assessment required

hybrid - Malvern, PA

Technical Stack & Requirements: • Core Competencies: Python, Apache Spark (PySpark), AWS Glue ETL, Data Lake concepts (Medallion Architecture), Databricks, Sagemaker. • Infrastructure: CloudFormation/Terraform, CI/CD with GitHub Actions. • Core Responsibilities: Orchestrate data extraction from diverse legacy and modern sources, engineer high-performance scalable pipelines, and provide expert-level production support to ensure system reliability. Qualifications: • Bachelor's degree in Computer Science or related field. • Strong hands-on experience with Apache Spark and Glue. • Proven ability to work with Python-based data pipelines. • Experience with Git and GitHub Actions is mandatory. Required Qualifications • Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline. • 5-7+ years of enterprise Data Engineering experience. • Strong Python development experience. • Advanced SQL programming skills. • Extensive experience with Apache Spark and PySpark. • Strong experience with Databricks application. • Hands-on experience with AWS data services including: o S3 o AWS Glue o Athena o Lambda o Step Functions o EventBridge • Experience building enterprise ETL and ELT pipelines. • Strong understanding of distributed data processing. • Experience working with large-scale cloud data platforms. • Strong knowledge of dimensional data modeling. • Experience implementing CI/CD pipelines. • Familiarity with Agile/Scrum methodologies. • Excellent communication and stakeholder management skills. Preferred Qualifications • Financial Services or Asset Management industry experience. • Knowledge of Apache Iceberg, Delta Lake, or Hudi. • Experience with Airflow. • Knowledge of Kafka or Kinesis streaming. • Experience supporting AI/ML and advanced analytics platforms. • AWS Professional or Specialty Certifications.