Work Location : Makati City

Hybrid Work Setup ( Twice per week onsite)

Mid Shift

Background / Qualifications

• Bachelor’s Degree in technology/related field or equivalent work experience
• 4+ Years of SQL and/or Python experience is a must
• Strong knowledge of data concepts and tools and experienced in RDMS such as MS SQL Server, Oracle etc.
• Well-versed with concepts and techniques of Business Intelligence and Data Warehousing.
• Strong database designing and SQL skills. objects development, performance tuning and data analysis
• In-depth understanding of database management systems, OLAP & ETL frameworks
• Familiarity or hands on experience working with REST or SOAP APIs
• Well versed with concepts for API Management and Integration with various data sources in cloud platforms, to help with connecting to traditional SQL and new age data sources, such as Snowflake
• Familiarity with Machine Learning concepts like feature selection/deep learning/AI and ML/DL frameworks (like Tensorflow or PyTorch) and libraries (like scikit-learn, StatsModels) is an advantage
• Familiarity with BI technologies (e.g. Microsoft Power BI, Oracle BI) is an advantage
• Hands-on experience at least in one ETL tool (SSIS, Informatica, Talend, Glue, Azure Data factory) and associated data integration principles is an advantage
• Minimum 1+ year experience with Cloud platform technologies (AWS/Azure), including Azure Machine Learning is desirable. Following AWS experience is a plus:
• Implementing identity and access management (IAM) policies
• Managing user accounts with IAM
• Knowledge of writing infrastructure as code (IaC) using CloudFormation or Terraform.
• Implementing cloud storage using Amazon Simple Storage Service (S3)
• Experience with serverless approaches using AWS Lambda, e.g. AWS (SAM)
• Configuring Amazon Elastic Compute Cloud (EC2) Instances

Please refer to job description.