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22 hours ago
We are seeking a seasoned Big Data Engineer to join our team.
The ideal candidate will have expertise in designing, architecting, and implementing scalable data engineering solutions while driving innovation within the organization.
Key Responsibilities:- Design, develop, and optimize Big Data 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 (AWS preferred; Hortonworks, Cloudera, or MapR experience a plus).
- Implement and manage AWS services including EMR, Glue, Kinesis, DynamoDB, Athena, CloudFormation, API Gateway, and S3.
- Work on real-time streaming solutions using Kafka and AWS Kinesis.
- Support ML model operationalization on AWS (deployment, scheduling, and monitoring).
- Analyze source system data and data flows to ensure high-quality, reliable data delivery for business needs.
- Write highly efficient SQL queries and support data warehouse initiatives using Apache NiFi, Airflow, and Kylo.
- 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.
- Hands-on experience with: Spark, Hadoop, Scala, and AWS services.
- Proven expertise in designing and implementing data pipelines and Big Data architectures.
- Strong understanding of cloud computing and data engineering principles.
If you are passionate about working with big data technologies and driving innovation, we encourage you to apply for this exciting opportunity.
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