- Design, build, and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services
- DynamoDB, RedShift, Kinesis, Lambda, S3, Glue.
- Utilize AWS Management Tools (CloudWatch, CloudTrail) to proactively monitor large and complex deployments.
- Analyze, rearchitect, and replatform onpremise data warehouses to data platforms on AWS.
- Develop Advanced SQL for endtoend development and Optimization of existing processes.
- Understand complex python queries and update existing code according to business requirements.
- Maintain and optimize existing processes.
- Gather requirements and conduct feasibility analysis, design, develop from scratch, and deliver.
- Design data warehouse/data mart.
- Lead client calls to flag off any delays, blockers, or escalations, and collate all the requirements.
- Deploy data pipelines using an automated CI/CD approach.
- Write productionready code in Python, and participate in code reviews to maintain and improve code quality, stability, and supportability.
- 5 to 8 years of relevant experience in Data Engineering.
- Strong proficiency in Python.
- Experience in Data Migration, Data Warehousing, and AWS.
- Excellent SQL skills.
- Bachelor's degree in Computer Science, Engineering, or related field.
Aerial Telecom - Chennai, India - Aerial Telecom Solutions
Description
Job Title :
Data Engineer
Location :
Chennai (Work from Office)
Experience : 5 to 8 years
Job Description :
We are seeking an experienced Data Engineer to join our team in Chennai.
The ideal candidate will have 5 to 8 years of experience in data engineering, with a strong background in building data pipelines, data warehousing, and data management solutions.
Responsibilities :