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1 day ago
We're seeking a seasoned data engineer to drive innovation and scalability in our team.
Key Responsibilities:
- Design and implement large-scale Big Data architectures leveraging AWS services.
- Build and maintain data pipelines using Spark (Scala) for both structured and unstructured datasets.
- Architect and operationalize data engineering and analytics platforms, with a focus on AWS services.
- Implement and manage AWS services including EMR, Glue, Kinesis, DynamoDB, Athena, CloudFormation, API Gateway, and S3.
- Develop real-time streaming solutions using Kafka and AWS Kinesis.
- Support ML model operationalization on AWS, including deployment, scheduling, and monitoring.
- Analyze source system data and data flows to ensure high-quality, reliable data delivery.
- Write efficient SQL queries and support data warehouse initiatives using Apache NiFi, Airflow, and Kylo.
- Collaborate with cross-functional teams to provide technical leadership and mentorship.
Mandatory Skills & Qualifications:
- Hands-on experience in Big Data Technologies (AWS, Scala, Hadoop, and Spark).
- Proven expertise in Spark with Scala.
- Experience with AWS services, including EMR, Glue, Lambda, S3, CloudFormation, API Gateway, and Athena.
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