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M
modis
Data Engineer
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Based on Pennsylvania data
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$113,315 / year median in Pennsylvania
+12% projected growth
Job Description
Akkodis is seeking a Data Engineer for a Contract with a client in Malvern, PA. The ideal candidate is responsible for designing, building, and optimizing scalable data platforms, real-time streaming pipelines, and cloud-native data solutions .
Tewari@ akkodisgroup.com.
Rate Range:
$60/hour to $67/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.Data Engineer Job Responsibilities include:
Design, develop, and lead the implementation of scalable data engineering solutions, real-time streaming pipelines, and distributed data processing frameworks. Build and optimize data pipelines using Python, PySpark, AWS Lambda, AWS Glue, S3, Kinesis, Apache Flink, and Confluent Kafka. Architect and support large-scale cloud-based data platforms, ensuring high performance, reliability, scalability, and cost optimization. Develop and tune complex SQL queries, data models, and data integration processes to support analytics and business reporting needs. Establish engineering best practices, conduct code reviews, mentor team members, and provide technical leadership across data engineering initiatives. Implement monitoring, automation, data governance, security controls, and operational support processes to ensure reliable production data pipelines.Required Qualifications:
Bachelor's degree in computer science, Information Technology, Data Engineering, Software Engineering, or a related field. 10+ years of experience in Data Engineering, Big Data, and cloud-based data platform development. Strong hands-on experience with Python, PySpark, AWS Lambda, AWS Glue, S3, Kinesis, Apache Flink, Confluent Kafka, and advanced SQL. Proven expertise in designing scalable data architectures, real-time streaming pipelines, distributed data processing systems, and AWS cloud-based solutions. If you are interested in this role, then please clickAPPLY NOW.
For other opportunities available at Akkodis, or any questions, feel free to contact me at Shashank.Tewari@ akkodisgroup.com.