Azure Databricks, Python, SQL, ADF, Synapse

Role & responsibilities

Job Title: Azure Data Engineer

Location: Bengulure

Preferred candidate profile

Key Responsibilities:

Design and develop end-to-end data pipelines using Azure services.

Build and maintain ETL/ELT workflows using Azure Data Factory.

Develop scalable data processing solutions using Azure Databricks and Python.

Create, optimize, and troubleshoot complex SQL queries and database objects.

Implement data warehousing solutions using Azure Synapse Analytics.

Monitor, maintain, and improve data quality, performance, and reliability.

Collaborate with business stakeholders and cross-functional teams.

Required Skills:

4+ years of experience in Data Engineering.

Strong expertise in Azure Databricks.

Proficiency in Python and SQL.

Experience with Azure Data Factory (ADF).

Hands-on experience with Azure Synapse Analytics.

Knowledge of performance tuning, data modeling, and ETL best practices.

Experience working in Agile environments.

Preferred Skills:

Azure Data Engineer Associate Certification.

Experience with CI/CD, DevOps, and Git.

Knowledge of Delta Lake and Spark.

Option 2: Short Recruiter Job Post

Hiring: Azure Data Engineer

Skills Required: Azure Databricks

Python

SQL

Azure Data Factory (ADF)

Azure Synapse Analytics

Experience: 3-8 Years

Responsibilities:

Build and maintain data pipelines.

Develop ETL/ELT solutions using ADF and Databricks.

Optimize SQL queries and data warehouse solutions.

Work with large-scale datasets and cloud-based analytics platforms.

Preferred:

PySpark

Delta Lake

Azure Cloud Services

Git/DevOps

Interested candidates can share their updated resume.

Option 3: LinkedIn Job Posting

We're Hiring | Azure Data Engineer

Are you passionate about building modern data platforms on Azure? We are looking for a talented Azure Data Engineer with expertise in:

Core Technologies

Azure Databricks

Python

SQL

Azure Data Factory (ADF)

Azure Synapse Analytics

What You'll Do

Develop and optimize enterprise-grade data pipelines.

Transform and process large datasets using Databricks and PySpark.

Build data integration workflows using ADF.

Design analytical solutions using Azure Synapse.

Collaborate with data analysts, architects, and business teams.

Experience Required: 4-10 Years

Location: Open/Hybrid/Remote

If you're interested in working on cutting-edge Azure data solutions, we'd love to hear from you!

Writing Improvements

Included clear responsibilities, required skills, and preferred qualifications.

Created three distinct styles: corporate, recruiter-friendly, and LinkedIn-focused.

Used industry-standard terminology for Azure Data Engineering roles to attract relevant candidates.

Perks and benefits