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2024-7272_Software Engineer I (Thimble)

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor’s degree in Computer Science, Mathematics, Statistics, Accounting or Finance, Engineering, Information Technology, 1-4 years experience in Data Science, BI, Data Engineering, ETL.

Key responsabilities:

  • Design and build data architecture systems and processes
  • Perform data analysis, cleansing, reports, forecasting trends
  • Develop programs to integrate data sources with enterprise warehouse
  • Participate in software development work following best practices
Arch Global Services (Philippines) Inc. logo
Arch Global Services (Philippines) Inc. Large https://www.archcapgroup.com/
1001 - 5000 Employees
See more Arch Global Services (Philippines) Inc. offers

Job description

Logo Jobgether

Your missions

Company Description

AGSI was incorporated in April 2016. We are committed to supporting the goals of Arch divisions through exceptional service delivery. We pride ourselves on maintaining flexibility and responsiveness to adapt to business unit and industry demands while focusing on sound project management. We are dedicated to growing and developing our employees as we build strong teams with strategic leadership.

QUALIFIED APPLICANTS MUST BE PERMANENTLY RESIDING IN THE PHILIPPINES

Job Description

This is a unique role that combines data science and analytics with data engineering and development. The incumbent performs complete roles of data lifecycle: from designing data architecture and structure, doing data analysis, processing, and optimization, including visualization & predictive models, up to developing programs or tools to integrate various sources and format of data with the enterprise data warehouse which could be in the cloud or on-premise. The ideal candidate should understand business and technical requirements, translating them to agile stories that help establish data-driven decision making across the organization.

This position works with Policy Services -  Correcting policies that need to changed, Data clean up issues, Debugging

Will be working closely with Bonie Sausa, training and shadowing him.

This is a unique role that combines data science and analytics with data engineering and development. The incumbent performs complete roles of data lifecycle: from designing data architecture and structure, doing data analysis, processing, and optimization, including visualization & predictive models, up to developing programs or tools to integrate various sources and format of data with the enterprise data warehouse which could be in the cloud or on-premise. The ideal candidate should understand business and technical requirements, translating them to agile stories that help establish data-driven decision making across the organization.

Data Clean Up

Correcting Policies

db script changes

Logging into Policies that need to be changed and making changes

Debugging

Scripting experience

Some Development experience

 

Qualifications

Identify, design and build data architecture systems and processes to support business needs. This may include implementation of internal process improvements, such as automating manual processes, optimizing near real-time data delivery through various tools such as Snowflake and Microsoft PowerBI. ·

  • Using various SQL, change data capture (CDC) and big data platforms. ·
  • Perform data cleansing, analysis and making reports with recommendations. This may include forecasting trends that impact the organization. ·
  • Build and test scalable Big Data ecosystems to be used in running algorithms and predictive models, finding hidden patterns and data modelling. ·
  • Identifies data collection sources for business needs, integrates data with other applications and data marts, and conducts automation of master data management. ·
  • As part of the Agile teams, participates in software development work which includes application design, coding, code review and testing. ·
  • Complies with software engineering best practices to ensure enterprise architecture principles and standards are observed.

Mongo DB

SQL

Debug abilities

Ability to read through logs

Solid experience and exposure to SQL

1 – 4 years of experience on any of the following roles 

  • Data Science/Analyst 
  • BI Analyst/Engineer (Business Intelligence)
  • Data Engineer 
  • Data Integrator
  • Data Warehouse Engineer or Developer
  • Data Implementation Engineer
  • ETL Developer

Additional Information

Bachelor’s degree on any of the following courses: 

  • Computer Science 
  • Mathematics, Statistics 
  • Accounting or Finance 
  • Engineering 
  • Information Technology

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
Check out the description to know which languages are mandatory.
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