Senior Data Engineer

Diverse Lynx, LLC; Malvern (Chester County); On-site; USD 68,000 - 97,000; Full time

Job summary

Diverse Lynx LLC is seeking an experienced AWS Data Engineer to design and maintain scalable ETL pipelines in AWS, using Lambda, Redshift, S3, Athena and Glue.

You will work with Python and PySpark to transform data, ensure data security and compliance, and collaborate with cross-functional teams in an agile environment.

This hands-on role requires cloud architecture expertise and a focus on performance, reliability, and cost efficiency.

Qualifications

• Experience with AWS services including Lambda, Redshift, S3, Athena, Glue, and CloudWatch.
• Strong Python and PySpark for data transformation and processing.
• Proven ability to build scalable ETL pipelines in a cloud environment.
• In-depth understanding of relational databases, data warehousing, and Redshift performance tuning.
• Experience with Infrastructure as code (CloudFormation) and CI/CD pipelines.
• Knowledge of data security, data privacy, and compliance frameworks.

Responsibilities

• Design, develop, and maintain robust ETL workflows to load data into AWS Redshift and other cloud systems.
• Leverage AWS Lambda for real-time data processing and automation.
• Work with S3, Athena, and Glue to support data processing pipelines.
• Use Python and PySpark for data transformation logic and analytics.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Monitor cloud-based infrastructure for performance, reliability, and cost efficiency.
• Troubleshoot and resolve data pipeline issues to minimize downtime and ensure data accuracy.
• Implement automation and monitoring tools to improve reliability.

Skills

AWS Lambda

Redshift

Python

PySpark

CloudWatch

CI/CD

CloudFormation

Git

Data security

Tools

Git

CI/CD

CloudFormation

S3

Athena

Glue

Job description

ROLE_DESCRIPTION

Payrate 60/hr

Overview: We are seeking an experienced AWS Data Engineer with expertise in ETL processes, AWS Lambda, Redshift, and proficiency in Python and PySpark. This role requires hands-on experience with cloud-based architecture, data engineering, and working with large-scale data processing systems. The ideal candidate will play a critical role in building and maintaining scalable, efficient, and secure ETL pipelines within the AWS ecosystem.

Key Responsibilities

• Design, develop, and maintain robust ETL workflows to extract, transform, and load data from various sources to AWS Redshift and other cloud-based systems.
• Leverage AWS Lambda to build serverless computing solutions for real-time data processing and automation.
• Work with AWS data storage and processing services, including S3, Redshift, Athena, and Glue, to support data processing pipelines.
• Utilize Python and PySpark to create and Eligible to workimize data transformation logic and analytical queries.
• Collaborate with cross-functional teams to understand data requirements and provide efficient data solutions.
• Monitor and Eligible to workimize cloud-based infrastructure for performance, reliability, and cost efficiency.
• Troubleshoot and resolve data pipeline issues, ensuring minimal downtime and high data accuracy.
• Implement automation and monitoring tools to enhance reliability.

Required Skills and Qualifications

• Proven experience working with AWS services, including Lambda, Redshift, S3, Athena, Glue, and CloudWatch.
• Strong knowledge and hands‑on experience with Python and PySpark for data transformation and processing.
• Expertise in building and Eligible to workimizing ETL pipelines in a cloud environment.
• In-depth understanding of relational databases, data warehousing, and performance tuning in Redshift.
• Strong problem-solving and troubleshooting skills.
• Familiarity with infrastructure as code tools like AWS CloudFormation.
• Experience with version control (e.g., Git) and CI/CD pipelines.
• Solid understanding of data security, data privacy, and compliance frameworks.
• Ability to work in an agile, fast‑paced environment.

Disclaimer: Diverse Lynx LLC is an Equal Opportunity Employer. All applicants and employees are evaluated without discrimination, based solely on their qualifications, ability, competence and performance. This email and its attachments may contain confidential or proprietary information and is intended only for the recipient(s). If you received this message in error, please disregard it and notify the sender. If you no longer wish to receive our communications, you may unsubscribe at any time.

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