AL
Senior Data Engineer
Artech LLC
- 🇺🇸 United States
- On-site
- Senior
- 7 hours ago
- $60 – $65 / hour
- AWS
- ETL
- AWS Lambda
- Redshift
- Python
- PySpark
- Athena
- CloudWatch
- IaC
- CloudFormation
- Git
- CI/CD
- Agile
- AWS Cloud
- Java
7 hours ago
Title: Senior Data Engineer
Locations: Malvern, PA
Interview Mode: Onsite
Duration: 06+ Months with Possible Extension.
Pay Range: $60-$65/Hour on W2/C2C (All inclusive)
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 optimize data transformation logic and analytical queries.
• Collaborate with cross-functional teams to understand data requirements and provide efficient data solutions.
• Monitor and optimize 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 optimizing 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.
Ex-Client and local Candidates preferred
Skills: Digital: Python~ Digital : Amazon Web Service (AWS) Cloud Computing~ Digital: PySpark~ Core Java
Experience Required: 10 & Above
Senior Data Engineer · Artech LLC