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Data Engineer
2 weeks ago
Roles and Responsibilities:
- The ideal candidate will have 5 to 8 years of experience in data engineering, specializing in building data pipelines, data warehousing, and data management solutions.
- Work closely with data scientists, analysts, and stakeholders to design, build, and maintain scalable and robust data infrastructure.
- Design, build, and operationalize large-scale enterprise data solutions and applications using AWS data and analytics services like DynamoDB, RedShift, Kinesis, Lambda, S3, and Glue.
- Utilize AWS Management Tools such as CloudWatch and CloudTrail to monitor complex deployments proactively.
- Analyze, re-architect, and migrate on-premise data warehouses to data platforms on AWS.
- Proficient in Advanced SQL for end-to-end development and optimization of processes.
- Ability to comprehend complex Python queries and update code based on business requirements.
- Knowledge of Table Partition mechanism, Types of Partitions, and column store index.
- Maintain and optimize existing processes.
- Conduct requirement gathering, feasibility analysis, design, development, and delivery of data solutions.
- Experience in designing data warehouse/data mart.
- Lead client calls to address delays, blockers, escalations, and gather requirements.
- Deploy data pipelines using automated CI/CD approach.
- Write production-ready Python code, participate in code reviews to enhance code quality, stability, and supportability.
- Create modularized reusable code components.
- Identify data issues and anomalies during analysis.
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