Job Description

To provide value by developing and improving data engineering and data visualization tools to aid in the transformation of the organization as one that is data-driven.

Responsibilities:

Utilize technical and industry knowledge to drive multiple data projects across different analytics platforms & data domains
Identify, analyze, evaluate, and develop data products
Design and build the data infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources using SQL and big data and cloud technologies
Collaborate with cross-functional teams and leadership to identify and evaluate opportunities, issues, and trends to drive results throughout the organization
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Create data tools for analytics and data scientist team members to help drive decisions across business
Partner with analysts leveraging engineering skill and data knowledge to provide input on feasibility of requirements
Responsible for the accuracy, completeness, timeliness, and validity of all data
Assists with troubleshooting and driving quality and stability of our production solutions
Build the data and analytics teams by assessing and learning data engineering tools and data visualization tools
Understand data requirements in an assigned project, design, develop, and expand data requirements to be realized following data platform strategy from ETLs build, data warehouse build, data stores, data lakes
Design ETL environment for ingestion of data from source to destination
Design and test data stores, curated layers (including data mart, data warehouse) in either on-premise or cloud environment
Maintain development roadmap aligned with product and infrastructure objectives to support advanced data solutions

Qualifications:

Graduate of Bachelor of Science in Computer Science, Information Technology, Computer Engineering, Communication, or Electronics
Minimum of 5 years of experience in data management, data integration, operating data governance and quality program
Experience with ETL and Data integration tools (MuleSoft, Informatica, SnapLogic, Kafka, Talend, or Confluent)
Knowledge of programming, communicating technical issues, SQL and other technology platforms.
Willing to work in MOA Square, Pasay City