
AWS Cloud Developer
2 weeks ago
We are seeking an experienced Big Data Engineer to join our team. The ideal candidate will have a deep understanding of Big Data technologies and AWS Cloud Services.
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, with a focus on AWS and its ecosystem, including Hortonworks, Cloudera, or MapR.
- 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, including 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.
Mandatory Skills & Qualifications
- Solid hands-on experience in Big Data Technologies, including AWS, Scala, Hadoop, and Spark.
- Proven expertise in Spark with Scala.
- Hands-on experience with AWS services, including EMR, Glue, Lambda, S3, CloudFormation, API Gateway, Athena, Lake Formation.
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