
AWS Cloud Data Engineer
2 days ago
We are seeking a highly skilled cloud data engineer with deep expertise in Big Data technologies and AWS Cloud Services. The ideal candidate will bring strong hands-on experience in designing, architecting, and implementing scalable data engineering solutions while driving innovation within the team.
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.
Mandatory 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)
The ideal candidate should possess excellent problem-solving skills, attention to detail, and ability to communicate effectively with stakeholders. Strong knowledge of Agile methodologies and collaboration tools is essential.
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