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Data Engineer, Malvern, PA, US
Technical Stack & Requirements
Core Competencies:
- Python
- Apache Spark (PySpark)
- AWS Glue ETL
- Data Lake concepts (Medallion Architecture)
Infrastructure:
- CloudFormation/Terraform
- CI/CD with GitHub Actions
Core Responsibilities
- Orchestrate data extraction from diverse legacy and modern sources
- Engineer high-performance scalable pipelines
- 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
- 7+ years of enterprise Data Engineering experience
- Strong Python development experience
- Advanced SQL programming skills
- Extensive experience with Apache Spark and PySpark
- Hands-on experience with AWS data services including: S3, AWS Glue, Athena, Lambda, Step Functions, 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
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Preferred Qualifications
- Financial Services or Asset Management industry experience
- Experience with Snowflake or Databricks
- 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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Job Responsibilities
- We are seeking high-caliber Data Engineers to drive the B2B Service Experience and Financials initiatives.
- In this pivotal role, you will architect, implement, and optimize sophisticated data pipelines, partnering with business analysts to guarantee the seamless availability and absolute integrity of data powering our core financial engines and reporting ecosystems.
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Skills
Python
Apache Spark
PySpark
AWS Glue
AWS S3
AWS Athena
AWS Lambda
SQL
CI/CD
GitHub Actions
Terraform
CloudFormation
Dimensional Data Modeling
ETL/ELT Pipelines
Distributed Data Processing
Medallion Architecture
Location