
Senior Data Engineer Position
2 weeks ago
System Architect
We are seeking a skilled professional with expertise in Big Data Technologies and Cloud Services. The ideal candidate will bring strong hands-on experience in designing, architecting, and implementing scalable data engineering solutions.
- Design, develop, and optimize architectures leveraging AWS services for large-scale, complex data processing.
- Build and maintain data pipelines using Spark (Scala) for both structured and unstructured datasets.
- Architect and operationalize data engineering and analytics platforms, focusing on scalability, security, and performance.
- Implement and manage AWS services, including EMR, Glue, Lambda, S3, CloudFormation, API Gateway, Athena, Lake Formation.
- Work on real-time streaming solutions using Kafka and AWS Kinesis.
- Support ML model operationalization on AWS, ensuring efficient deployment, scheduling, and monitoring.
- Analyze source system data and data flows to ensure high-quality, reliable data delivery.
- Write highly efficient SQL queries and support data warehouse initiatives.
- Collaborate with cross-functional teams to provide technical leadership, mentor team members, and strengthen the data engineering capability.
- Troubleshoot and resolve complex technical issues, ensuring scalability, performance, and security of data solutions.
Required Skills & Qualifications:
- Solid hands-on experience in Big Data Technologies (AWS, Scala, Hadoop, and Spark mandatory).
- Proven expertise in Spark with Scala.
- Hands-on experience with AWS services (EMR, Glue, Lambda, S3, CloudFormation, API Gateway, Athena, Lake Formation).
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