2025-7593_Data Engineer - Mid

Arch Global Services (Philippines) Inc.; Cebu City; On-site; PHP 446,400 - 781,200; Full time

Job summary

A leading data analytics company in Cebu is looking for a Data Engineer to enhance their analytics capabilities. The position focuses on developing complex data structures and pipelines using SQL, Python, and cloud technologies like Azure. Ideal candidates should have a strong background in data engineering, and be comfortable working in a fast-paced environment. The role offers professional growth opportunities and competitive compensation.

Qualifications

• Strong SQL knowledge and experience with relational databases.
• Experience in data engineering or equivalent role.
• Excellent critical thinking and organizational skills.

Responsibilities

• Assemble large, complex data sets to solve business problems.
• Manipulate and transform data using SQL and Python.
• Automate manual processes and optimize data pipelines.

Skills

SQL

Relational SQL Database

Data Integration services (SSIS, Azure Data Factory, etc)

Microsoft Excel

Python, Scala, C++, Java or similar

Snowflake or other cloud-based data warehouse

NoSQL database / unstructured data

Azure cloud services

Education

BS in Computer Science, Information Technology, Data Analytics or equivalent

Job description

Overview

On-site - Cebu Fresh Graduate/Student Bachelor Full-time

Job Description

Company Description
Arch Global Services offers competitive pay and a comprehensive benefits package. Additionally, Arch is committed to helping its associates create what’s next by providing access to a variety of programs supporting your professional development and a culture that encourages innovation, collaboration and professional growth. We seek talent that thinks innovatively, values collaboration and will go the extra mile to serve our customers and develop our company.We also have a little fun along the way, check out ourHoliday Party.

Job Description
Shift: Mid Shift
Strategic Analytics is a growing team at Arch. The team develops innovative predictive models and analytical tools to improve profitability and growth. This position will help support the data engineering needs across a growing portfolio of high-profile analytics projects by developing complex data structures and pipelines leveraging a diverse set of tools and languages. This includes the following cloud based technologies: Databricks, Snowflake, Spark, Python and Azure Data Factory. As a key member of the Strategic Analytics team, you will advance our data engineering capabilities helping the team analyze data faster.

Responsibilities

• Work closely with predictive modelers to assemble large, complex data sets that help solve business problems and increase profitability
• Perform data manipulation and transformation using SQL and Python
• Identify, design, and implement internal process improvements: automating manual processes and optimizing data pipelines
• Discover and explore new sources of data with curiosity and creativity
• Create and maintain optimal data pipeline architecture
• Author detailed and comprehensible documentation of data pipelines and technical solutions
• Ensure data quality and completeness

Qualifications

Required Skills

• SQL 4 R
• Relational SQL Database 3 R
• Data Integration services (SSIS, Azure Data Factory, etc) 2 R
• Microsoft Excel 3 R
• Python, Scala, C++, Java or similar 2 O
• Snowflake or other cloud-based data warehouse 3 O
• NoSQL database / unstructured data 2 O
• Azure cloud services 1 O

Desired Skills

• Advanced working SQL knowledge and experience working with relational databases, query authoring
• A successful history of manipulating, processing and extracting value from large, disconnected datasets
• Ideally, 3+ years of experience in a Data Engineer role or equivalent using SQL and/or Python
• Good organizational skills and attention to detail
• Excellent critical thinking skills to flag complex data challenges
• Experience with cloud technologies and Python is a plus
• Comfortable working in fast paced, highly collaborative environment
• Ability to effectively communicate to different target audiences

Additional Information

• BS in Computer Science, Information Technology degree, Data Analytics or equivalent

Please refer to job description.

Data Modeling ETL Processes SQL Python Data Warehousing Big Data Technologies Cloud Computing Data Pipeline Automation NoSQL Data Quality Assurance

Preview

Billy Fajardo

HR Manager Arch Global Services (Philippines) Inc.

Active within three days

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