Data Engineer (with DevOps Experience)

CreaThink Solutions

Negotiable
Hybrid - Taguig1-3 Yrs ExpDiplomaFull-time
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Job Description

Description

About the Role

We are seeking a highly skilled Data Engineer with a strong DevOps mindset to help build a reusable Microsoft Fabric accelerator solution. This role is ideal for someone with a solid software and backend engineering background, with a deep understanding of building efficient, secure, and scalable data pipelines and orchestrating complex workflows.

You will play a key part in designing and developing infrastructure and data solutions that are high-performance, portable, and aligned with industry best practices in security and DevOps. This is not an analytics or data modeling role — the focus is on engineering excellence and infrastructure.


Key Responsibilities:

  • Design, develop, and maintain efficient and scalable data pipelines using best-in-class engineering practices.
  • Build orchestration workflows to extract and move data across cloud and hybrid environments.
  • Develop portable, metadata-driven solutions for rapid deployment across clients.
  • Collaborate with teams to implement CI/CD pipelines and infrastructure-as-code for data solutions.
  • Architect and implement cyber-secure systems that comply with enterprise security standards.
  • Contribute to the development of a Microsoft Fabric accelerator for client deployment.


Key Requirements:

  • Proven experience in backend/data engineering with a strong DevOps focus.
  • Proficient in Python, Spark, PySpark, and SQL.
  • Hands-on experience with ETL processes and real-time data ingestion.
  • Strong knowledge of data orchestration tools like Apache Airflow and Azure Data Factory.
  • Experience with Microsoft Fabric, including: Lakehouses, Pipelines, Dataflows Gen2,Notebooks
  • Familiarity with containerization and IaC tools: Docker, Kubernetes, Bicep, Terraform.
  • CI/CD best practices for data workflows and cloud deployments.
  • Experience with Delta Lake or Apache Iceberg in the Microsoft ecosystem.
  • Deep understanding of Azure services: Data Lake, Synapse Analytics, Event Hubs.
  • Experience with real-time streaming platforms such as Kafka or Azure Event Hubs.
  • API integration and Change Data Capture (CDC) methodologies.
  • Experience with PowerShell, C#, or .NET.
  • Familiarity with reusable solution templates in consultancy/client environments.
  • Relevant certifications including:
  • DP-700 (Analyzing and Visualizing Data with Microsoft Power BI)
  • Azure Data Engineer Associate
  • Databricks
  • Kubernetes Certifications



Minimum Requirements:

  • i5 10th Gen or equivalent, 8GB RAM, 2GB Video Card or Integrated Graphics Card, Windows 10 or macOS (no Netbooks or Chromebooks), Headset with noise cancellation feature
  • Main Internet should be minimum of 20MBPs, wired only
  • An Antivirus Software should be installed, activated and updated
  • Backup Internet


Requirements

Please refer to job description.

Data ModelingETL ProcessesSQLPythonData WarehousingBig Data TechnologiesCloud ComputingData Pipeline AutomationNoSQLData Quality Assurance
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Boss

HR ManagerCreaThink Solutions

Working Location

Taguig, PH

Posted on 31 May 2025

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