Azure Data Engineer

Dentsu Global Services; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Dentsu Global Services in Bengaluru is seeking an hands-on Azure Data Engineer with 3–7 years of total experience to build scalable cloud data platforms.

You will deliver Azure-based data solutions using SQL and Python, focusing on batch pipelines and basic streaming in a global delivery setting. This is an individual contributor role requiring collaboration with architects and analytics teams.

Qualifications

• Hands-on experience delivering Azure-based data engineering solutions.
• Strong SQL and Python skills (mandatory).
• Experience with batch data pipelines and basic streaming concepts.
• Experience with Spark/PySpark on Databricks.
• Knowledge of data modeling and performance tuning.
• Experience with ADLS, ADF, Databricks, Synapse.

Responsibilities

• Build scalable ETL/ELT pipelines using Azure and Databricks.
• Develop SQL-based transformations and Python/PySpark pipelines.
• Ingest and process data with ADF, Databricks, and ADLS.
• Monitor pipeline health, performance, and data quality.
• Collaborate with architects, QA, DevOps, and product teams.

Skills

SQL

Python

PySpark

Databricks

Azure

Data engineering

ETL/ELT pipelines

Data modeling

Data validation

CI/CD

Education

Bachelor’s or Master Degree

Tools

Azure Data Factory

ADLS Gen2

Azure Databricks

Azure Synapse Analytics

Azure Monitor

Terraform

ARM Templates

GitHub Actions

Job description

Azure Data Engineer - Immediate Joiners Only

Years of Experience - Min 3 and Max upto 7

Bangalore / Pune/ Mumbai/ Gurgaon

Job Description

Looking for a hands‑on Senior Data Engineer – Azure & Databricks with up to 6 years of total experience to build, optimize, and maintain scalable cloud data platforms.

This is an individual contributor role, focused on developing reliable data pipelines and analytics‑ready datasets using Microsoft Azure and Databricks. The role requires strong hands‑on expertise in SQL and Python, along with experience building batch (and basic streaming) data pipelines in a cloud environment.

You will collaborate closely with architects, analytics teams, QA, DevOps, and business stakeholders in a global delivery model.

Must have skills

• Hands‑on experience delivering Azure‑based data engineering solutions
• Cloud & Data Engineering (Azure)
• Strong hands‑on experience with Azure data services, including:
• Azure Data Lake Storage Gen2 (ADLS)
• Azure Data Factory (ADF)
• Azure Databricks
• Azure Synapse Analytics
• Experience designing cloud‑native data lakes and analytical data stores
• Solid understanding of batch data pipelines and basic streaming concepts
• SQL & Python (Mandatory)
• Strong SQL skills (mandatory)
• Writing complex queries, joins, aggregations, and transformations
• Hands‑on experience working with large datasets in Synapse / Databricks
• Strong Python skills (mandatory)
• Python for ETL / ELT and data engineering use cases
• Hands‑on experience with PySpark in Databricks
• Strong understanding of data modeling, transformations, and query performance tuning
• Data Processing & Engineering
• Hands‑on experience with Spark / PySpark on Databricks
• Experience handling structured and semi‑structured data
• Understanding of partitioning, schema evolution, and data validation concepts
• DevOps & Platform Basics
• Working knowledge of Infrastructure as Code (ARM Templates and/or Terraform)
• Basic experience with CI/CD pipelines (Azure DevOps or GitHub Actions)
• Understanding of logging and monitoring using Azure Monitor / Log Analytics
• Collaboration
• Ability to work effectively with architects, QA, DevOps, and business stakeholders
• Good communication skills for explaining technical concepts clearly

Good to have skills

• Exposure to streaming technologies such as Azure Event Hubs or Kafka
• Familiarity with Lakehouse architecture and Delta Lake concepts
• Experience integrating Azure data platforms with BI tools (Power BI preferred)
• Basic knowledge of data governance and data quality frameworks
• Awareness of Azure cost‑optimization best practices
• Experience working in Agile delivery models, especially with global clients

Key responsibiltes

Data Engineering & Development

• Build scalable ETL / ELT pipelines using Azure and Databricks
• Develop SQL‑based transformations and Python / PySpark pipelines
• Ingest and process data using ADF, Databricks, and ADLS
• Build analytics‑ready data models optimized for performance and cost

Platform & Operations

• Support deployment and execution of data pipelines across environments
• Monitor data pipeline health, performance, and data quality
• Troubleshoot pipeline failures and perform root‑cause analysis
• Follow Azure security, reliability, and scalability best practices

Collaboration & Delivery

• Work closely with architects and product teams to understand requirements
• Translate business and analytics needs into working Azure data solutions
• Contribute to documentation, code reviews, and engineering standards

Education Qulification

1. Bachelor’s or Master Degree or equivalent Degree

Certification If Any

1. Microsoft Certified: Fabric Data Engineer Associate

2.Microsoft Certified: Azure Solutions Architect Expert

3. Snowflake Core

Shift timing

12 PM to 9 PM and / or 2 PM to 11 PM - IST time zone