Senior Azure Data Engineer: Pipelines & Databricks

HCL Technologies Limited

Göteborgs kommun

On-site

SEK 700,000 - 1,000,000

Full time

2 hours ago
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Job summary

HCL Technologies Limited in Göteborg is seeking a Senior Technical Specialist to oversee Azure Data Factory, Azure Databricks, SQL, and Python processes, optimizing data workflows and ensuring data reliability. You will design, develop, and maintain data pipelines, process large data volumes, and collaborate with cross-functional teams to troubleshoot data issues.

The role offers opportunities to stay updated on Azure technologies and contribute to innovative data solutions across multiple

Qualifications

  • Proficiency in Azure Data Factory for building and scheduling data pipelines.
  • Experience with Azure Databricks for big data processing.
  • Strong SQL skills for data extraction and manipulation.
  • Proficient in Python scripting for data processing and automation tasks.
  • Problem-solving abilities to analyze complex data systems.
  • Good communication and teamwork to collaborate with stakeholders.

Responsibilities

  • Design, develop, and implement data pipelines using Azure Data Factory to extract, transform, and load data.
  • Utilize Azure Databricks to process and analyze large data volumes efficiently.
  • Write complex SQL queries to support reporting and analysis needs.
  • Develop and maintain Python scripts for data processing and automation tasks.
  • Collaborate with cross-functional teams to troubleshoot data issues and optimize processes.
  • Stay updated on latest Azure technologies and propose innovative data solutions.

Skills

Azure Data Factory (ADF)
Azure Databricks
SQL
Python
Data processing
Communication & teamwork

Job description

HCL Technologies Limited in Göteborg is seeking a Senior Technical Specialist to oversee Azure Data Factory, Azure Databricks, SQL, and Python processes, optimizing data workflows and ensuring data reliability. You will design, develop, and maintain data pipelines, process large data volumes, and collaborate with cross-functional teams to troubleshoot data issues.

The role offers opportunities to stay updated on Azure technologies and contribute to innovative data solutions across multiple

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