Azure Data Engineer

WillWare Technologies

Bengaluru

Hybrid

INR 1,800,000 - 2,400,000

Full time

8 days ago

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Job summary

WillwareTechnologies in Bengaluru is seeking an experienced Azure Data Engineer to design and maintain scalable data pipelines using Azure Databricks, Azure Data Factory, Snowflake, SQL, and Python.

You will develop ETL/ELT workflows with PySpark, manage Airflow orchestrations, optimize queries and data models, and collaborate with data architects and analysts to deliver reliable solutions across hybrid environments.

Qualifications

Hands-on experience with Azure Databricks and data engineering.
Strong SQL skills for data transformation and querying.
Hands-on experience with Python for data processing.
Experience with Azure Data Factory (ADF) for building data pipelines.
Experience with Apache Airflow for orchestration.
Snowflake experience is mandatory (minimum 3 years).

Responsibilities

Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
Develop data processing solutions using Azure Databricks and PySpark/Python.
Build and manage data pipelines using Azure Data Factory (ADF).
Develop and manage workflows and orchestration using Apache Airflow.
Design and optimize data solutions using Snowflake.
Write complex and optimized SQL queries for data transformation and analysis.
Develop data engineering solutions using Python.
Perform data integration, transformation, validation, and troubleshooting.
Optimize pipeline and query performance.
Collaborate with data architects, analysts, and other engineering teams to deliver reliable data solutions.

Skills

Azure Databricks

Azure Data Factory

Apache Airflow

SQL

Python

Snowflake

Job description

Company Name: WillwareTechnologies
Role:Azure Data Engineer
Experience:7+ Years
Location:Chennai, Bangalore, Mumbai, Noida, Gurugram
WorkMode:Hybrid

Job Overview

We are looking for an experienced Azure Data Engineer with strong hands-on expertise in Azure Databricks, Azure Data Factory (ADF), Apache Airflow, Snowflake, SQL, and Python. The candidate should be capable of developing and maintaining scalable data pipelines and data engineering solutions.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
Develop data processing solutions using Azure Databricks and PySpark/Python.
Build and manage data pipelines using Azure Data Factory (ADF).
Develop and manage workflows and orchestration using Apache Airflow.
Design and optimize data solutions using Snowflake.
Write complex and optimized SQL queries for data transformation and analysis.
Develop data engineering solutions using Python.
Perform data integration, transformation, validation, and troubleshooting.
Optimize pipeline and query performance.
Collaborate with data architects, analysts, and other engineering teams to deliver reliable data solutions.