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Azure Data Engineer

1320000 Php per year
Full-time

Infojini Inc

Job Description

We are looking for a Senior/Principal Azure Data Engineer to design, build, and maintain scalable, reliable, and cost-effective data pipelines and data products using Microsoft Azure technologies.

Key Responsibilities

  • Design, develop, and maintain end-to-end data pipelines and ETL/ELT workflows using Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Data Lake Storage Gen2.
  • Work with storage solutions such as Azure Blob Storage for data ingestion, processing, and storage.
  • Build and optimize big data processing pipelines using Apache Spark (PySpark preferred).
  • Ensure data quality, validation, governance, and reliability across data pipelines.
  • Collaborate with data scientists, analysts, architects, and stakeholders to deliver data solutions.
  • Optimize performance, scalability, and cost efficiency of data workloads in Azure.
  • Implement CI/CD pipelines, version control, testing, and deployment automation for data solutions.
  • Monitor, troubleshoot, and resolve data pipeline issues proactively.
  • Maintain technical documentation and best practices for data engineering standards.
  • Stay updated with emerging data engineering and cloud technologies.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
  • Strong experience in Azure Data Engineering and ETL development.
  • Proficiency in SQL using systems like SQL Server and PostgreSQL.
  • Strong understanding of software engineering principles (CI/CD, version control, testing).
  • Strong programming skills in Python (preferred) or Scala/Java/C#.
  • Experience working with file formats like Apache Parquet, Delta Lake, and Avro.
  • Strong problem-solving, analytical, and communication skills.

Preferred Skills

  • Technical leadership and stakeholder management
  • Experience working in consulting or client-facing environments
  • Strong learning agility and adaptability in cloud ecosystems
  • Experience building production-grade Spark applications using PySpark
Vacancy posted 6 days ago
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