
Senior Big Data Architect
19 hours ago
We are seeking a skilled professional to design, develop, and optimize scalable big data architectures leveraging AWS services for large-scale complex data processing.
- Build, maintain and optimize data pipelines using Spark (Scala) for both structured and unstructured datasets.
- Architect and operationalize data engineering platforms, focusing on cloud-based solutions.
- 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.
**Key Responsibilities:
- Collaborate with cross-functional teams to provide technical leadership and support the development of a robust data engineering capability.
- Design, implement, and monitor data solutions to ensure scalability, performance, and security.
- Support machine learning model deployment, scheduling, and monitoring on AWS.
- Develop and maintain high-quality data delivery solutions that meet business needs.
- Write efficient SQL queries and contribute to data warehouse initiatives.
**Mandatory Skills & Qualifications:
- Hands-on experience in Big Data Technologies (AWS, Scala, Hadoop, and Spark).
- Proven expertise in Spark with Scala programming language.
- Experience with AWS services, including EMR, Glue, Lambda, S3, CloudFormation, API Gateway, Athena, and Lake Formation.
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