
Leading Data Pipeline Architect
3 days ago
We are looking for a skilled Senior Data Engineer to join our team. As a key member of our engineering team, you will be responsible for designing and implementing data pipelines using industry-standard tools and mechanisms.
Responsibilities:
- Enhance the existing data pipeline using industry-standard tools and mechanisms.
- Redesign and implement data pipeline to use AWS managed components.
- Implement data pipeline monitoring to alert us if there is any issue with the pipeline.
- Investigate and resolve any issue with data pipeline.
- Document the data pipeline solution and how to operate the data pipeline.
- Implement unit testing and integration testing for data pipeline component.
Requirements:
- At least 3 years hands-on working experience in data engineering, designing and building ETL pipelines.
- Experience in project execution and demonstrated technical expertise.
- Proficient in Python.
- SQL Knowledge.
- Schell scripts (Linux).
- Airflow or similar tool to create pipelines.
- AWS tools like S3, Glue, AWS EMR, Lambda, Step functions.
- Familiar with tools like AWS Batch, Athena, file formats like Parquet, NoSQL knowledge and tools like AWS OpenSearch.
- The engineer should be able to physically work from the premises whenever requested by the project team.
Key Skills:
- Big Data
- Pipelines
- Unit Testing
- ETL
- Integration Testing
- Java
- Databases
- Linux
Benefits:
This role offers a unique opportunity to work on challenging projects and collaborate with a talented team of engineers. If you are passionate about data engineering and want to take your career to the next level, apply now
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