AWS Data Engineer (W2 Only)
Why This Role Stands Out
Leverage your extensive AWS and Python expertise to design and optimize scalable data pipelines, making a significant impact within the insurance domain. This role offers a fantastic opportunity for a mid-senior data engineer with a passion for building robust ETL/ELT solutions and a strong understanding of data warehousing principles. You'll thrive in this collaborative environment, contributing to critical data initiatives and further developing your skills.
Quick Overview
Job Description
W2 Only Job Title: AWS Data Engineer Insurance Domain
Location: Philadelphia, PA (Onsite)
Employment Type: Contract
Required Skills:
- 8+ years of experience as a Data Engineer.
- Strong hands-on experience with AWS services such as S3, Glue, Lambda, EMR, Redshift, Athena, IAM, CloudWatch, and Step Functions.
- Expertise in Python and PySpark for data processing and transformation.
- Strong SQL skills with experience in relational and cloud-based databases.
- Experience building and maintaining ETL/ELT pipelines.
- Hands-on experience with Apache Spark and distributed data processing.
- Experience with Airflow, AWS Glue Workflows, or other orchestration tools.
- Knowledge of data warehousing concepts and dimensional modeling.
- Experience with version control tools such as Git and CI/CD pipelines.
- Familiarity with Agile/Scrum development methodologies
- Experience working with policy, claims, underwriting, billing, customer, or actuarial data.
- Understanding of insurance business processes and regulatory requirements
Responsibilities:
- Design, develop, and optimize scalable data pipelines on AWS.
- Build and maintain ETL/ELT workflows for large-scale data processing.
- Integrate data from multiple enterprise systems into AWS data platforms.
- Optimize data pipelines for performance, scalability, and reliability.
- Collaborate with business analysts, data scientists, and application teams to deliver data solutions.
- Ensure data quality, governance, security, and compliance across data platforms.
- Troubleshoot production issues and implement performance improvements.
- Participate in code reviews, sprint planning, and Agile ceremonies
Preferred Qualifications:
- AWS Certified Data Engineer or AWS Certified Solutions Architect.
- Experience with Databricks is a plus.
- Experience with Snowflake is a plus.
- Knowledge of Terraform or Infrastructure as Code (IaC) is preferred.
- Strong communication and stakeholder management skills
Skills
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