Senior Data Engineer
RIT Solutions
Senior Data EngineerAssessment requiredHybrid - Malvern, PATechnical 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:S3AWS GlueAthenaLambdaStep FunctionsEventBridgeExperience 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.
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