Data Engineer
TapTalent.ai
Date: 18 hours ago
City: Pasig City
Contract type: Full time

We're Hiring: Data Engineer!
We are looking for a skilled and motivated ETL Specialist/Data Engineer to join our dynamic data and analytics team. The ideal candidate will have at least 3 years of hands-on experience in developing and maintaining ETL pipelines, working with various data sources including APIs, logs, flat files, and databases (both RDBMS and NoSQL).
Location: Pasig, Philippines
Work Mode: Hybrid (3x a week onsite); Mid-shift (1PM - 9PM)
Role: Data Engineer
What You'll Do
#PHhiring #dataengineering #dataengineer #python #etll
We are looking for a skilled and motivated ETL Specialist/Data Engineer to join our dynamic data and analytics team. The ideal candidate will have at least 3 years of hands-on experience in developing and maintaining ETL pipelines, working with various data sources including APIs, logs, flat files, and databases (both RDBMS and NoSQL).
Location: Pasig, Philippines
Work Mode: Hybrid (3x a week onsite); Mid-shift (1PM - 9PM)
Role: Data Engineer
What You'll Do
- Ingesting data from sources such as API's and Logs as well as Flat files and DB's.
- 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 Bachelor's 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 API's and Logs as well as Flat files and DB's.
- 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
#PHhiring #dataengineering #dataengineer #python #etll
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