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2 weeks ago
We are seeking a highly skilled professional to design and develop large-scale, complex data processing architectures using Big Data technologies and AWS Cloud Services.
Key Responsibilities:- Develop and optimize data pipelines leveraging Spark (Scala) for both structured and unstructured datasets.
- Architect and operationalize data engineering and analytics platforms, preferably on the AWS cloud.
- 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 machine learning 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 efficient SQL queries and support data warehouse initiatives using Apache NiFi, Airflow, and Kylo.
- Solid hands-on experience in Big Data Technologies (AWS, Scala, Hadoop, and Spark).
- Proven expertise in Spark with Scala programming language.
- Hands-on experience with AWS services including EMR, Glue, Lambda, S3, CloudFormation, API Gateway, Athena, and Lake Formation.
Benefits of this role:
- Opportunity to work with cutting-edge technologies and innovative projects.
- Chance to collaborate with experienced professionals in the field of Big Data Engineering.
- Professional growth and development opportunities.
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