Data Engineer - Start Now

We are hiring an energetic Data Engineer to join our passionate team at Jobs for Humanity in Manila.
Growing your career as a Full Time Data Engineer is a great opportunity to develop excellent skills.
If you are strong in teamwork, planning and have the right personality for the job, then apply for the position of Data Engineer at Jobs for Humanity today!

About  Potentia

Potentia is a social enterprise dedicated to improving opportunities for neurodiverse employment.  Potentia’sSTARS program educated employers on the benefits of employing ND individuals and to best support them. Both Chevron and Potentia are Equal Opportunity employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or other status protected by law or regulation. Client participates in E-Verify in certain locations as required by law.   

Job Description

Job Description

Inclusion Program open to candidates who self-identify as neurodivergent: people with the following conditions

• Dyslexia
• Dyspraxia
• Autism
• Attention deficit hyperactivity disorder (ADHD)
• Dyscalculia
• Tourette syndrome

Please note that all information provided in this regard will remain confidential to people outside the program. The program provides job-specific training, job coaching, and individualized support.

 

Job description

:  The Data Engineering Chapter delivers data products to accelerate the delivery of analytics and workflow solutions. This includes end-to-end data lifecycle activities – analyzing and mapping data sources, creating common information models, designing integration that enables data movement, and developing the pipelines that ultimately lead to data products. 

 

 

Key responsibilities  

• Understand business use of data and stakeholder requirements to support work processes and strategic business objectives 
  Leverage data, software engineering, and data science techniques to create business value through data accessibility. Includes data ingestion, data preparation and analytics processing. 

• Identify, acquire, cleanse & prepare, store data and develop data products aligned with defined architecture patterns 
  Responsible for normalizing and ingesting data from multiple sources including Business Process Consolidation, Business Warehouse, Service Now, and Azure. 
  Enable data scientists, making data available for advanced analytics models, and contributing to models. 
  Work with Machine Learning Engineer to scale and deploy solution including model, documentation, training, integration 
  Prioritize & take ownership of work. Communicate progress on work deliverables 
• Work collaboratively in an agile construct . Works with global teams and across time zones.
  Provide feedback & be receptive to feedback received. Share best practices among peers. 

Qualifications

Requirements

Required education / degrees : Bachelor’s Degree in Information Technology, Computer Science or related STEM field.

 

 

 

Successful candidates may also have  k nowledge and/or experience with:   

• Analytical thinking, Consulting, Critical Thinking
• Data acquisition
• Preparation and validation 
• Data movement and transformation 
• Big data computing 
• Cloud computing 
• ​Information security technologies and software engineering using any of the technologies such as: Azure Data Factory (ETL), Databricks, DevOps, CI/CD Pipeline Deployment, Python, Java, Ansible, Azure SQL, Azure Synapse, SSI

Additional Information

Benefits

• Competitive base pay.  
• Hybrid work arrangements  
• Annual incentive awards when the company meets its established goals.  
• Health and dental care coverage.  
• Retirement and savings plans. (varies by location)  
• Disability and life insurance.  
• Time off (paid vacations and holidays).  
• Access to counseling services and treatment facilities through Employee Assistance and WorkLife Services and the Mental Health/Substance Abuse Plan.  
• Fitness centers, fitness membership partnerships, and fitness incentive programs (varies by location).  
• Recognition and service awards programs to recognize outstanding performance  

Learning Opportunities :  

• Excellent opportunity to learn about the Oil and Gas Industry.  
• Individual will be assigned as  member of a dynamic/agile teamworking on delivering data products to accelerate the delivery of analytics and workflow solutions to achieve desired business outcome and deliver value to the organization.  
• Excellent role to develop data engineering and analytics skills and build business domain knowledge through working closely with the business   
• Networking opportunities through the interactions with several functions, IT organizations, Business Units, and vendors.  

Benefits of working as a Data Engineer in Manila:

● Company offers great benefits
● Company offers career progression opportunities
● Attractive package