Azure Senior Data Technical Specialist

HCL Technologies Limited; Göteborgs kommun; On-site; SEK 700,000 - 1,000,000; Full time

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

The Senior Technical Specialist will be responsible for overseeing and managing Azure Data Factory (ADF), Azure Databricks, SQL, and Python processes. The primary objectives include optimizing data workflows, ensuring data reliability and integrity, and developing efficient data processing solutions using Azure technologies.

Key Responsibilities

• 1. Design, develop, and implement data pipelines using azure data factory (adf) to extract, transform, and load data.
• 2. Utilize azure databricks to process and analyze large volumes of data efficiently.
• 3. Write complex sql queries to extract and manipulate data for reporting and analysis purposes.
• 4. Develop and maintain python scripts for data processing and automation tasks.
• 5. Collaborate with cross functional teams to troubleshoot data related issues and optimize data processes.
• 6. Stay updated on the latest azure technologies and recommend innovative solutions to improve data workflows.

Skill Requirements

• 1. Proficiency in azure data factory (adf) for building and scheduling data pipelines.
• 2. Experience with azure databricks for processing big data workloads.
• 3. Strong skills in writing sql queries for data extraction and manipulation.
• 4. Proficient in python scripting for data processing and automation tasks.
• 5. Problem-solving skills with the ability to analyze complex data systems and processes.
• 6. Strong communication and teamwork abilities to collaborate effectively with different teams and stakeholders.

Other Requirements

• 1.Relevant certifications in Azure Data Factory (ADF), Azure Databricks, SQL, Python are a plus.

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026totaled $14.8billion.