Data Engineer

Canterr It Services; Hyderabad; Hybrid; INR 1,500,000 - 2,800,000; Full time

Job summary

Canterr It Services in Hyderabad, India seeks a data engineer to design and optimize scalable ETL/ELT pipelines using Databricks. You will implement batch and streaming ingestion, build Bronze/Silver/Gold layers with Delta Lake, and ensure governance with Unity Catalog.

You will transform data with Python, PySpark and SQL, integrate Databricks with Azure services, and automate deployments via CI/CD while maintaining robust data quality and reliability.

Qualifications

• Strong hands-on Databricks, Python/PySpark and SQL.
• Delta Lake and Databricks Workflows.
• ETL/ELT development and performance tuning.
• ADLS Gen2 and Azure data ecosystem.
• Unity Catalog exposure.
• Git and CI/CD experience.

Responsibilities

• Design, develop and optimise scalable ETL/ELT pipelines using Databricks.
• Develop production-grade data transformations using Python, PySpark and SQL.
• Build Bronze/Silver/Gold data layers using Delta Lake and medallion architecture.
• Implement batch and, where required, streaming ingestion patterns.
• Work with Databricks Workflows and Unity Catalog for orchestration and governance.
• Integrate Databricks with Azure data services including ADLS Gen2 and Synapse.
• Implement data-quality checks, error handling, monitoring and performance optimisation.
• Develop automated deployments using CI/CD and follow software engineering best practices.
• Troubleshoot production data pipelines and ensure reliability and scalability.

Skills

Databricks

Python

PySpark

SQL

Delta Lake

Unity Catalog

Databricks Workflows

CI/CD

Git

Azure data ecosystem

Tools

ADLS Gen2

Synapse

Git

CI/CD pipelines

Job description

• Design, develop and optimise scalable ETL/ELT pipelines using Databricks.
• Develop production-grade data transformations using Python, PySpark and SQL.
• Build Bronze/Silver/Gold data layers using Delta Lake and medallion architecture.
• Implement batch and, where required, streaming ingestion patterns.
• Work with Databricks Workflows and Unity Catalog for orchestration and governance.
• Integrate Databricks with Azure data services including ADLS Gen2 and Synapse.
• Implement data-quality checks, error handling, monitoring and performance optimisation.
• Develop automated deployments using CI/CD and follow software engineering best practices.
• Troubleshoot production data pipelines and ensure reliability and scalability.

Mandatory skills:

• Strong hands-on Databricks, Python/PySpark and SQL.
• Delta Lake and Databricks Workflows.
• ETL/ELT development and performance tuning.
• ADLS Gen2 and Azure data ecosystem.
• Unity Catalog exposure.
• Git and CI/CD experience.
• The existing Allianz-aligned platform JD similarly calls for strong Databricks/PySpark, Delta Lake, Unity Catalog and Synapse capabilities, making these good baseline screening criteria