Data Engineer

IT Managers Inc.; Santa Rosa; On-site; PHP 600,000 - 900,000; Full time

Job summary

IT Managers Inc. is seeking a data professional to develop and maintain data solutions, ETL/ELT pipelines, and integrations using Azure, SQL, Python, and .NET technologies. You will ensure data quality, governance, and reliable data flow across enterprise systems.

The role requires strong hands-on experience with Azure Data Factory, Synapse, Data Lake Storage, and SSIS, along with REST API integration and data governance expertise to support enterprise data warehouse environments.

Qualifications

• Minimum 3-4 years of programming experience.
• Bachelor's degree in Computer Science, Information Systems, or related field.
• Proficient in C#, .NET Core/MVC, React, and Python.
• Strong SQL skills, preferably MS SQL Server.
• Hands-on experience with ETL/ELT, data ingestion, and transformation.
• Experience with Azure Data Factory, Azure Synapse, and Azure Data Lake Storage; SSIS knowledge is a plus.
• Knowledge of REST APIs and external data integration.
• Understanding of data governance, quality, cleansing, lineage, and metadata management.
• Experience handling structured and unstructured data in enterprise-scale data warehouse environments.

Skills

Programming experience

REST APIs

Data governance

Data warehousing

Education

Bachelor's degree in CS/IS

Tools

C#

.NET Core/MVC

React

Python

MS SQL Server

Azure Data Factory

Azure Synapse

Azure Data Lake Storage

SSIS

Job description

Job Description

Develop and maintain data solutions, ETL/ELT pipelines, and integrations using Azure, SQL, Python, and .NET technologies. Ensure data quality, performance, governance, and reliable data flow across enterprise systems.

Job Qualifications

• Minimum 3 - 4 years of programming experience.

• Bachelor's degree in Computer Science, Information Systems, or related field.

• Proficient in C#, .NET Core/MVC, React, and Python.

• Strong SQL skills, preferably with MS SQL Server.

• Hands-on experience with ETL/ELT, data ingestion, and transformation.

• Experience with Azure Data Factory, Azure Synapse, and Azure Data Lake Storage; SSIS knowledge is a plus.

• Knowledge of REST APIs and external data integration.

• Understanding of data governance, quality, cleansing, lineage, and metadata management.

• Experience handling structured and unstructured data in enterprise-scale data warehouse environments.