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Open nowFirst seen 18 hours ago

Data Engineer (Architect)

George Bernard Consulting185 open roles

Where
Colombo, Sri Lanka
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Your applicationOpen nowData Engineer (Architect)George Bernard Consulting · Colombo, Sri Lanka

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

11.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.3%7 days
  4. 17.6%14 days
  5. 34.3%30 days
  6. 43.5%60 days
This job: first seen 18 hours ago

The posting

Job Description

  • Architect, administer, and optimize Databricks workspaces, clusters, jobs, and workflows.
  • Design and develop scalable Azure-based data engineering solutions, including Data Lake, Data Factory, Synapse, Key Vault, etc.
  • Build high-performance data pipelines using Python and PySpark.
  • Work with Hadoop-based platforms and distributed storage systems.
  • Implement and manage real-time data streaming solutions and ingestion pipelines.
  • Ensure proper configuration, monitoring, governance, and performance tuning of data platforms.
  • Integrate CI/CD pipelines on Azure and work with containerization technologies (Docker/K8s).
  • Develop and optimize SQL queries, stored procedures, and data models using MS SQL.
  • Collaborate with architects, data scientists, and engineering teams to deliver enterprise-grade solutions.
  • Define best practices, coding standards, and data engineering frameworks across the organization.
  • Troubleshoot complex data issues and ensure high availability of mission-critical data systems.

Requirements

  • Minimum 10+ years of total IT experience.
  • Minimum 6+ years strong experience in the following areas: Databricks Administration , Azure Cloud , Python & PySpark , Hadoop ecosystem , Data streaming & data pipeline engineering , MS SQL
  • Proven experience architecting large-scale distributed data systems.
  • Strong understanding of data lakes, data warehousing, and big data architecture patterns.

Nice-to-Have Skills

  • Experience with Apache Spark optimization and tuning.
  • Hands-on experience with CI/CD pipelines on Azure (GitHub Actions, Azure DevOps, etc.).
  • Knowledge of containers (Docker, Kubernetes).
  • Understanding of MLOps or advanced analytics integrations.
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