Azure Data Engineer – Data Platforms

SWITS DIGITAL Private Limited; Bengaluru Urban; On-site; INR 1,000,000 - 2,000,000; Full time

Job summary

A leading IT services company is seeking an Azure Data Engineer to join their Data Platforms team in Bengaluru. The ideal candidate should have 6-9 years of experience with strong expertise in Azure Databricks, Azure Data Factory, SQL, and Python. Responsibilities include building data pipelines, optimizing DWH solutions, and collaborating with stakeholders. This role is classified as full-time and targets mid-senior level professionals.

Qualifications

• 6-9 years of professional experience in Data Engineering with a focus on Azure ecosystem.
• Hands-on expertise in Azure Databricks and Azure Data Factory (ADF).
• Proficiency in SQL and Python for data engineering tasks.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL workflows on Azure Data Factory.
• Work with Azure Databricks for data processing and transformation.
• Implement and optimize data warehouse solutions for high availability.

Skills

Azure Databricks

Azure Data Factory

SQL

Python

Data engineering principles

Agile methodology

Communication skills

Job description

Job Title: Azure Data Engineer – Data Platforms

Location: Bangalore, India

Experience Required: 6 – 9 Years

Overview

We are seeking an experienced Azure Data Engineer to join our Data Platforms team. The ideal candidate will have strong expertise in Azure Databricks, Azure Data Factory, SQL, and Python, with a solid understanding of data engineering concepts and data warehouse (DWH) design. This role requires excellent problem-solving, communication, and collaboration skills, with experience working in an Agile environment.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL workflows on Azure Data Factory (ADF).
• Work extensively with Azure Databricks for data processing, transformation, and integration.
• Implement and optimize data warehouse (DWH) solutions, ensuring high availability and performance.
• Write efficient SQL scripts for data extraction, transformation, and loading.
• Develop and maintain Python scripts for automation, data cleansing, and transformation tasks.
• Collaborate with data architects, analysts, and business stakeholders to deliver data-driven solutions.
• Ensure data quality, governance, and compliance across all projects.
• Contribute actively in Agile ceremonies and work in a collaborative, fast-paced environment.

Required Skills & Qualifications

• 6–9 years of professional experience in Data Engineering, with a strong focus on Azure ecosystem.
• Hands-on expertise in:
  • Azure Databricks
  • Azure Data Factory (ADF)
• Strong understanding of Data Warehouse (DWH) concepts.
• Proficiency in SQL (writing complex queries, optimization).
• Hands-on experience in Python for data engineering tasks.
• Knowledge of core data engineering principles and concepts.
• Strong communication and stakeholder collaboration skills.
• Experience working in an Agile methodology.

Good to Have (Optional)

• Exposure to Azure Synapse Analytics or other cloud-based DWH tools.
• Experience with data governance and data quality frameworks.
• Knowledge of DevOps practices for Data Engineering (CI/CD for data pipelines).
• Familiarity with Big Data technologies (Spark, Hadoop ecosystem).

Employment details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: IT Services and IT Consulting

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