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Data Engineer with Azure- Senior Engineer (Level 1)

Arrow Ec

Direct Career PageEst. 12–20 LPA

Posted 13h ago

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Protocol Intelligence

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Background Fit Sensitivity

(Moderate)

Shortlisting Strictness

(High)

Job Description

Structured overview of role & requirements

About This Role

Develop, automate, and maintain ETL pipelines using Azure Data Factory, Azure Databricks, Python (PySpark), and SQL for large-scale data warehouses.

Document ETL processes and data mappings to comply with data governance standards while integrating ETL development with existing projects to maximize reuse.

Assess and troubleshoot data quality issues, perform root cause analysis, and implement performance tuning for ETL processes and SQL queries.

Minimum Requirements

5 years of relevant work experience in data engineering with Azure technologies.

Strong expertise in Azure Data Factory, Azure Databricks, Python (PySpark), Azure SQL Database, SQL Stored Procedure development, and performance tuning.

Experience developing enterprise-level Power BI reports is mandatory.

Location requirement: Pune, Maharashtra, India (Blue Ridge-Hinjewadi).

Ideal Candidate Profile

Experienced in designing and developing ETL solutions for enterprise data warehouses using Azure cloud data tools.

Capable of collaborating with teams and users for operational support in an Agile development environment.

Strong business and data analysis skills with effective communication for translating data needs into technical solutions.