Data Analyst / Data Engineer (Junior - Senior Level)

apartmentNityo Infotech placeManila scheduleFull-time calendar_month 

We're Hiring! Data Roles at All Levels | Join a Dynamic and Innovative Tech Team

We’re on the lookout for passionate and highly skilled Data Professionals to join our team and help drive next-generation data-driven solutions. Whether you're an early-career data enthusiast or a senior cloud expert, we have a spot for you!

OPEN POSITIONS
  1. Data Engineer
Location: Bagumbayan, Quezon City
Schedule: Monday – Friday | Day Shift
Setup: Onsite
Experience: 1–2 years

Rate: Open

Qualifications:

  • Solid hands-on experience in Databricks, AWS, and Python
  • Strong understanding of data pipelines and modern data stack
  • Experience in implementing ETL workflows and working with cloud-native tools
  1. Data Analyst – Power BI
Location: Hybrid
Schedule: Monday – Friday | Morning Shift

Rate: Open

Qualifications:

  • Strong background in data analysis and visualization using Power BI
  • Proven ability to translate data into meaningful business insights
  • Proficiency in SQL and DAX is a plus
  1. Senior / Principal Azure Data Engineer
Location: Hybrid
Schedule: Monday – Friday | Morning Shift

Rate: Open

Qualifications:

  • Extensive experience with Microsoft Azure Data Services:
  • Azure App Services, Azure Databricks, Azure Functions, Azure Logic Apps
  • Azure Synapse Analytics, Azure Cosmos DB
  • Expertise in architecting and developing scalable, cloud-based data solutions
  • Proven track record of leading data projects in a senior or principal capacity
  1. Data Engineer (Mid to Senior Level)
Location: Makati or Ortigas
Setup: Hybrid (2 days onsite, 3 days WFH)
Schedule: Morning Shift

Salary: Up to Php 200,000

Qualifications:

  • Proven experience as a Data Engineer or similar role with a focus on data pipelines and ETL processes
  • Strong knowledge of Microsoft Azure services:
  • Azure Data Factory, Azure Synapse, Azure Databricks
  • Azure Blob Storage, Azure Data Lake Gen 2
  • Proficient in writing efficient SQL queries (SQL Server, PostgreSQL)
  • Understanding of Software Engineering principles applied to Data Engineering (e.g., CI/CD, version control, testing)
  • Experience working with big data technologies like Apache Spark
Why Join Us?
  • Work with leading technologies and cloud platforms
  • Hybrid work options available for most roles
  • Competitive compensation and open rate offers
  • Opportunity to grow within a tech-forward environment
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