
Transforming Business Outcomes through Cloud Data Engineering
1 day ago
We are seeking an experienced Cloud Data Engineer to join our team.
- To design and implement scalable, cloud-based data solutions using AWS technology.
- Work as a cloud developer/lead on an agile team to provide automated cloud solutions.
- Collaborate with offshore manager/on-site business analyst to understand requirements and develop end-to-end implementation of cloud data engineering solutions.
About the Position
- Architect and deliver highly scalable, distributed cloud-based enterprise data solutions.
- Implement cloud data engineering solutions like Enterprise Data lake, Data hub in AWS.
- Develop expertise in Lambda or Kappa Architectures.
- Apply knowledge of data management concepts and data modeling.
- Utilize strong AWS hands-on expertise with a programming background preferably Python/Scala.
- Experience in Big Data frameworks and related technologies - Hadoop and Spark is mandatory.
- Work with AWS compute services like AWS EMR, Glue and storage services like S3, Redshift & Dynamodb.
- Experience with any one of the AWS Streaming Services like AWS Kinesis, AWS SQS and AWS MSK.
- Troubleshoot and perform performance tuning experience in Spark framework - Spark core, Sql and Spark Streaming.
- Apply knowledge of Application DevOps tools (Git, CI/CD Frameworks) - Experience in Jenkins or Gitlab with rich experience in source code management like Code Pipeline, Code Build and Code Commit.
- Experience with AWS CloudWatch, AWS Cloud Trail, AWS Account Config, AWS Config Rules.
- Apply knowledge in AWS Security and AWS Key management.
- Develop strong understanding of cloud data migration processes, methods and project lifecycle.
- Apply good analytical & problem-solving skills.
- Communicate effectively and present ideas clearly.
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