Azure Data Engineer - Databricks / PySpark / DBT

Contactx Resource Management; Hyderabad, Bengaluru; On-site; INR 900,000 - 1,800,000; Full time

Job summary

Contactx Resource Management is seeking an Azure Data Engineer with 4.5–10 years of experience to build scalable data engineering solutions on Azure. You will own ETL/ELT pipelines on ADLS using Databricks, PySpark, SQL and Airflow, with strong Python data transformation skills. Medallion Architecture and CI/CD experience are required for production-ready deployments.

Joiners are expected to start in Sep. The role is based in Hyderabad, India, with on-site work and opportunities to work on

Qualifications

• Proficient in Azure Databricks, PySpark, SQL, and Python for ETL/ELT pipelines on ADLS.
• Strong data modelling and Medallion Architecture experience.
• CI/CD, performance optimization, and production-ready pipeline development experience.

Responsibilities

• Design and implement scalable data pipelines on Azure Data Lake Storage.
• Collaborate with teams to productionize data solutions and optimize performance.

Skills

Azure Databricks

PySpark

SQL

Python

ETL/ELT pipelines

Data modelling

Medallion Architecture

CI/CD

Airflow

Tools

Airflow

Databricks

dbt

Job description

We are hiring Azure Data Engineers with 4.5 to 10 years of experience to build scalable and production-ready data engineering solutions.

• The role requires strong hands-on expertise in Azure Databricks, PySpark, SQL, dbt and Airflow, with experience developing ETL/ELT pipelines on Azure Data Lake Storage (ADLS)
• Candidates should have strong Python skills and practical experience with data transformation and pipeline development
• Experience with Medallion Architecture (Bronze/Silver/Gold), data modelling, performance optimization and CI/CD is required
• Databricks certification is preferred

Sep joiners only;