Data Engineer (ETL)
TapTalent.ai
Date: 5 days ago
City: Pasig City
Contract type: Full time
We're Hiring: Data Engineer (ETL)!
We are looking for a skilled Data Engineer to join our dynamic team. The ideal candidate will have experience in data architecture, ETL processes, and data modeling. You will play a crucial role in managing and optimizing our data systems to support business objectives.
Location: Pasig, Philippines
Work Mode: Flexible office & remote
Role: Data Engineer
About The Role
We are looking for a skilled Data Engineer to join our dynamic team. The ideal candidate will have experience in data architecture, ETL processes, and data modeling. You will play a crucial role in managing and optimizing our data systems to support business objectives.
Location: Pasig, Philippines
Work Mode: Flexible office & remote
Role: Data Engineer
About The Role
- Ingesting data from sources such as API's and Logs as well as Flat files and DBs.
- API Client Server Development (REST) particularly with API authentication, data ingestion, etc.
- Administering both RDBMS and NOSQL with the same data and analytics environment.
- Using data tools in converting, processing and transforming different file formats (e.g csv, json, parquet, xml).
- Comfortable with using Python on data and analytics needs.
- Deploy and maintain scripts on Git repositories.
- Experience in working with the AWS Suite.
- Stay up to date with new tech, know new data & analytics technologies before they hit the market.
- Adept at SCRUM/Agile methodologies and environment
- Candidate must possess at least a Bachelors Degree / College, Computer Science / IT
- At least 3 years of working experience in the related field (Python, ETL).
- Highly experienced in Continuous Integration (CI)
- Experience in ingesting data from sources such as APIs and Logs as well as Flat files and DBs.
- Experience with API Client Server Development (REST) particularly with API authentication, data ingestion, etc.
- Experience with administering both RDBMS and NOSQL with the same data and analytics environment.
- Experience with using data tools in converting, processing and transforming different file formats (e.g csv, json, parquet, xml).
- Comfortable with using Python on data and analytics needs.
- Experience in working with the AWS Suite.
- Adept at SCRUM/Agile methodologies and environment
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