Data Engineer (SQL, Python – Pandas)

About the Role

  • Ingesting data from sources such as APIs 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 for 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  

Job Requirements   

  • At least 3 years of working experience in the related field (Python, ETL, AWS, SQL).  
  • 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 for data and analytics needs.  
  • Experience in working with the AWS Suite.  
  • Adept at SCRUM/Agile methodologies and environment  

Shift: Mid-shift (12:00 PM to 9:00 PM PH Time)
Work set-up: Hybrid (3 days/week onsite)

Job Category: Software Development
Contract Type: Full-Time
Location: BGC Taguig Philippines
Division: Technology
Organization: Solutions 30 (S30)
Assigned Recruiter: MaryAnne.Tablate

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