Azure Data Engineer

SP Staffing Services • Professional Services • Human Resources • Python • SQL • ETL/ELT • Azure Data Factory • 7 days ago
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Salary
≈ $15k – $36k per year (Estimated)
Location
In office (India)
Seniority
Middle · 3+ years exp

First seen by Alion on Sep 21, 2026.

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SP Staffing Services

SP Staffing services is one of the leading recruitment companies in Chennai, India offering hiring solutions for all industry verticals. Call us.
spstaffing.in • Noida • Gurgaon • Delhi • Chennai • Bengaluru • Recruiting & Staffing • Human Resources • Professional Services
Tech stack of SP Staffing Services

Job Description:

We are looking for an experienced Azure Data Engineer with a minimum of 3+ years of experience implementing projects using Azure technologies. The candidate should have strong hands-on experience with Azure data services, Databricks, Data Factory, Python, and PySpark.

Total Experience: 3 - 10 years

Key Responsibilities:

- Design and implement data engineering projects using Azure technology stacks.

- Develop and maintain data solutions using Azure Databricks and Azure Data Factory.

- Work with Azure data components, including Azure SQL Database, Azure SQL Warehouse, and Azure Synapse Analytics.

- Develop data processing solutions using Python and PySpark.

- Perform data ingestion, curation, and transformation using Spark.

- Collaborate with team members and stakeholders to deliver data engineering solutions.

- Work independently as well as within a team environment.

Required Skills:

- Minimum 3+ years of experience implementing projects using Azure stacks.

- Hands-on experience with Azure Databricks.

- Hands-on experience with Azure Data Factory.

- Experience with Azure SQL Database.

- Experience with Azure SQL Warehouse.

- Experience with Azure Synapse Analytics.

- Strong experience with Python and PySpark.

- Experience in data ingestion, curation, and transformation using Spark.

- Excellent verbal and written communication skills.

- Strong interpersonal skills.

- Ability to work independently and effectively within a team environment.

Skills

Azure Data Factory, Azure Databricks, Python, PySpark, Data Engineering, Azure SQL, ETL, SQL

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