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1 day ago
We are seeking a highly skilled Big Data Engineer with deep expertise in data technologies and 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 cloud 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 using cloud services.
- Implement and manage cloud services including EMR, Glue, Kinesis, DynamoDB, Athena, CloudFormation, API Gateway, and S3.
- Work on real-time streaming solutions using Kafka and cloud kinesis.
- Support machine learning model operationalization on cloud services.
- Analyze source system data and data flows to ensure high-quality, reliable data delivery for business needs.
- Write 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 (cloud services, Scala, Hadoop, and Spark)
- Proven expertise in Spark with Scala
- Hands-on experience with: cloud services (EMR, Glue, Lambda, S3, CloudFormation, API Gateway, Athena, Lake Formation)
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