Azure Data Engineer

Biitech Solutions

Taguig

On-site

PHP 1,200,000 - 2,100,000

Full time

14 days+

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Job summary

Biitech Solutions is seeking an experienced Azure Data Engineer for a hybrid role in Metro Manila. You will build and maintain scalable ETL pipelines, optimize Azure data solutions, and collaborate with cross-functional teams.

The ideal candidate has 5+ years of data engineering, strong SQL, Spark/PySpark, and familiarity with Parquet, Delta and Avro formats. Night shift is required.

Qualifications

  • 5+ years of data engineering experience.
  • Proficient with Azure data services listed.
  • Strong SQL and ETL development experience.
  • Experience with Spark and PySpark.
  • Knowledge of CI/CD, Git workflows, Azure DevOps.
  • Experience with Parquet, Delta, and Avro formats.
  • Strong problem-solving and communication skills.
  • Stable employment history required.

Responsibilities

  • Build and maintain scalable ETL pipelines.
  • Optimize Azure-based data solutions.
  • Collaborate with cross-functional teams.
  • Ensure data quality, performance, and reliability.
  • Support CI/CD deployment processes.

Skills

Azure Data Factory
Azure Synapse
Azure Databricks
Azure Blob Storage
Azure Data Lake Gen 2
SQL
ETL development
Spark
PySpark
CI/CD
Git workflows
Azure DevOps
Parquet
Delta
Avro
Communication
Problem-solving

Job description

Hiring: Azure Data Engineer

Location: Quezon City, Metro Manila

Work Setup: Hybrid (2 WFH and 3 Onsite)

Shift: Night Shift

Employment Type: Full-Time

Qualifications:
  • 5+ years of Data Engineering experience
  • Strong experience with Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage, and Azure Data Lake Gen 2
  • Strong SQL and ETL development experience
  • Experience with Spark and PySpark
  • Knowledge of CI/CD, Git workflows, and Azure DevOps
  • Experience with Parquet, Delta, and Avro file formats
  • Strong problem-solving and communication skills
  • Stable employment history required
Responsibilities:
  • Build and maintain scalable ETL pipelines
  • Optimize Azure-based data solutions
  • Collaborate with cross-functional teams
  • Ensure data quality, performance, and reliability
  • Support CI/CD deployment processes
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