Azure Data Engineer

Orcapod Consulting Services

Bengaluru

On-site

INR 1,500,000 - 2,800,000

Full time

5 days ago

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Job summary

Orcapod Consulting Services in Bengaluru is seeking an experienced Azure Data Engineer to build and manage scalable data pipelines on Azure. You will work with Azure Data Factory, Databricks, PySpark, and ADLS Gen2 to deliver robust data solutions.

The role emphasizes data quality, security, and performance, with tasks across ETL, data warehousing, and collaboration with business and technical teams to translate requirements into reliable platforms.

Qualifications

Minimum 3-5 years of hands-on experience in Azure data engineering.
Proficient in designing scalable data pipelines and data models.
Experience with data security, governance, and performance tuning.

Responsibilities

Develop and maintain Azure-based ETL/ELT pipelines.
Transform data using Databricks and PySpark.
Integrate data from multiple sources and ensure quality.
Monitor and optimize data workflows for performance.
Collaborate with stakeholders to meet business needs.

Skills

Azure Data Engineering

Azure Data Factory

Databricks & PySpark

SQL

Python

ADLS Gen2

ETL/ELT & Data Warehousing

Azure DevOps

Azure Synapse

Delta Lake

Job description

Job Description:

We are looking for an experienced Azure Data Engineer with strong hands-on experience in building and managing scalable data pipelines and data solutions on Azure.

Required Skills:

Strong experience in Azure Data Engineering
Hands-on experience with Azure Data Factory (ADF)
Strong knowledge of Azure Databricks & PySpark
Excellent SQL and Python skills
Experience with Azure Data Lake Storage (ADLS Gen2)
Good understanding of ETL/ELT, Data Warehousing & Data Modeling
Experience with Azure DevOps / CI-CD
Knowledge of Azure Synapse, Delta Lake is an added advantage

Responsibilities:

Develop and maintain Azure-based ETL/ELT pipelines
Perform data transformation using Databricks/PySpark
Integrate data from multiple sources
Monitor, troubleshoot, and optimize data pipelines
Ensure data quality, security, and performance
Collaborate with business and technical teams

Key Skills: Azure Data Factory, ADF, Databricks, PySpark, Python, SQL, ADLS Gen2, Azure Synapse, ETL, Data Warehousing, Azure DevOps.Role & responsibilities

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