Azure Data Engineer

• *Freelancing Opportunity (3\-4 hrs/day)**

• *Job Title: Azure Data Engineering Technical Lead**

• *Experience:** 7\+ Years
• *Role:** Technical Lead – Data Engineering

Job Summary

We are seeking an experienced Azure Data Engineering Technical Lead with strong hands\-on expertise in Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, and Python to design, develop, and optimize scalable data engineering solutions.

Key Responsibilities

• Lead end\-to\-end data engineering projects involving ADF, Databricks, SQL, PL/SQL, and Python.
• Design, develop, and maintain ETL/ELT pipelines and data integration workflows.
• Build scalable data models and data warehousing solutions.
• Optimize SQL queries, stored procedures, and data pipelines for performance.
• Ensure data quality, governance, security, and reliability.
• Troubleshoot complex data engineering issues and provide technical solutions.
• Collaborate with stakeholders and mentor development teams.

Required Technical Skills

• **Azure Data Factory (ADF):** Pipeline development, orchestration, scheduling, and monitoring.
• **Azure Databricks:** Apache Spark, PySpark, Delta Lake, and data transformations.
• **SQL \& Oracle PL/SQL:** Complex queries, stored procedures, functions, and performance tuning.
• **Python:** Data processing, automation, scripting, and ETL development.
• **Data Engineering:** ETL/ELT, data modeling, data warehousing, and data integration.
• **Leadership:** Technical design, code reviews, troubleshooting, and team mentoring.

Preferred Qualifications

• 7\+ years of overall experience in data engineering.
• Strong hands\-on experience with Azure cloud data platforms.
• Experience leading technical teams and delivering enterprise data solutions.
• Azure or Databricks certifications are an added advantage.

Pay: ₹30,000\.00 \- ₹40,000\.00 per month

Benefits

• Flexible schedule

Education

• Bachelor's (Required)

Experience

• Azure Data Engineer: 8 years (Required)

Shift availability

• Night Shift (Required)
• Overnight Shift (Required)

Work Location: Remote