Senior AWS Data Engineer

Job Title : Senior AWS Data Engineer

Location :  Malvern, PA

 

 JD :

Role Name - Senior Data Engineer
EXPERIENCE_RANGE_IN_REQUIRED_SKILLS_ Python, AWS- S3, AWS Lambdas, AWS Glue, SQL, DynamoDB , Kafka/ Kinesis , pySpark

ROLE_DESCRIPTION -

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.


Skills: Digital : Python~Digital : Amazon Web Service(AWS) Cloud Computing~Digital : PySpark~Core Java
Experience Required: 10 & Above

 

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