Company: iValue Labs Pvt. Ltd.

Experience: 8+ years

CTC: Up to ₹22 LPA

Joining: Immediate joiners - Only candidates who fill the form below will be considered.

Primary Skills: Azure Data Factory, Azure Databricks, SQL, ETL/ELT, Python

About iValue Labs

iValue Labs is a global IT consulting and software development company focused on enterprise technology solutions, including cloud services, data engineering, software development, and AI/ML. The company works with startups, mid-sized businesses, and global enterprises.

About the Role

We are looking for an experienced Sr. Data Engineer with strong expertise in the Azure data ecosystem. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines and data engineering solutions using Azure Data Factory, Azure Databricks, SQL, and Python.

Key Responsibilities

Design, develop, and maintain scalable ETL/ELT data pipelines.

Build and manage data workflows using Azure Data Factory (ADF).

Develop data transformation and processing solutions using Azure Databricks and PySpark.

Write complex and optimized SQL queries for data extraction, transformation, and analysis.

Develop reusable and maintainable data engineering solutions using Python.

Integrate data from multiple sources into cloud-based data platforms.

Monitor, troubleshoot, and optimize data pipelines for performance and reliability.

Implement data quality checks, error handling, and pipeline monitoring.

Collaborate with data architects, analysts, developers, and business stakeholders.

Participate in technical discussions, code reviews,



and solution design.

Follow best practices for data security, scalability, performance, and maintainability.

Azure Databricks is widely used for scalable data engineering, including data ingestion, transformation, ETL pipelines, and analytics workloads.

Required Skills: (Not all are required)

- 8+ years of experience in Data Engineering.

- Strong hands-on experience with Azure Data Factory.

- Strong experience with Azure Databricks and PySpark.

- Excellent knowledge of SQL and database concepts.

- Robust experience developing ETL/ELT pipelines.

- Good hands-on experience with Python.

- Strong understanding of data warehousing and data modelling concepts.

- Experience working with large datasets and optimizing data processing workloads.

- Good understanding of cloud-based data engineering architecture.

- Strong problem-solving and communication skills.

Good to Have

- Experience with Azure Data Lake Storage (ADLS).

- Knowledge of Delta Lake and Lakehouse architecture.

- Experience with Azure Synapse Analytics.

- Knowledge of data governance, security, and access management.

What We’re Looking For

We are looking for someone who can take ownership of data engineering solutions, troubleshoot complex pipeline issues, and work independently while collaborating effectively with cross-functional teams.

Only candidates who fill the form below will be considered.

Form link: https://docs.google.com/forms/d/e/1FAIpQLSfvL9JRlgbvUS8z1Qv6W3hyP8GjBbwDKcs4pwmFcwrgt-brOQ/viewform?usp=dialog

Pay: Up to ₹2,200,000.00 per year

Work Location: Remote

📌 Sr. Data Engineer (India)
🏢 iValue Labs
📍 India