Senior Data Engineer

Artech LLC

🇺🇸 United States

On-site

Senior

1 day ago

AWS
ETL
AWS Lambda
Redshift
Python
PySpark
Athena
CloudWatch
IaC
CloudFormation
Git
CI/CD
Agile
AWS S3
AWS Glue
SQL
DynamoDB
Kinesis

1 day ago

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Job Title: Senior Data Engineer
Location: Malvern, PA
Duration: 6 months
Pay Range: $60-65/Hour on W2/C2C (All Inclusive)
Request ID: 111183-1

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 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.

Experience Required:10 & Above
REQUIRED SKILLS: Python, AWS- S3, AWS Lambdas, AWS Glue, SQL, DynamoDB , Kafka/ Kinesis , pySpark

Ex-Vanguard and local Candidates preferred

Senior Data Engineer · Artech LLC

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