
Scalable Data Engineer
1 day ago
We are seeking a highly skilled Big Data Engineer with deep expertise in designing and implementing scalable data engineering solutions. The ideal candidate will bring strong hands-on experience in architecting and optimizing Big Data architectures using AWS 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 (AWS preferred).
- 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 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)
Benefits:
By joining our team, you will have the opportunity to work on cutting-edge projects, collaborate with experienced professionals, and grow your skills and knowledge in Big Data technologies.
What We Offer:
A dynamic and supportive work environment, opportunities for career growth and development, and a competitive compensation package.
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