Senior Data Engineer

Watsonite Systems; Chennai; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Watsonite Systems is seeking an experienced Azure Data Engineer in Chennai to design, develop, and optimize data pipelines and models for analytics. You will work with Python, PySpark, and Databricks, building reliable integrations across systems and ensuring data quality for stakeholders.

The role emphasizes hands-on SQL work, Azure services, and collaboration with data teams to translate business needs into scalable data solutions.

Qualifications

• Strong hands-on experience with Python, PySpark, Databricks, and Azure services.
• Experience building ETL pipelines and data models for analytics.
• Proficiency in SQL and handling relational and NoSQL databases.

Responsibilities

• Design, develop, and maintain ETL data pipelines.
• Ensure data quality, reliability, and timely processing.
• Build and manage data integration solutions across multiple systems.
• Develop and optimize data models for analytics and reporting.
• Manage and optimize relational and NoSQL databases.
• Collaborate with data teams and business stakeholders to gather requirements.

Skills

Python

PySpark

Databricks

Advanced SQL

Job description

Are you passionate about Data Engineer and Azure? We're looking for an experienced Azure Data Engineer to join our team and work on cutting-edge industrial automation and security projects.

Job Description:

We are looking for an experienced Data Engineer with strong hands-on experience in Python, PySpark, Databricks, and Azure services to develop and maintain reliable data pipelines and support data integration and modeling requirements.

Mandatory Skills:

• Python
• PySpark
• Databricks
• Advanced SQL

Key Responsibilities:

• Design, develop, and maintain ETL data pipelines.
• Ensure data quality, reliability, and timely processing.
• Build and manage data integration solutions across multiple systems.
• Develop and optimize data models for analytics and reporting.
• Manage and optimize relational and NoSQL databases.
• Work with data teams and business stakeholders to understand requirements.

Additional Skills:

• Data Warehousing
• Data Modeling
• Data Quality
• Good communication and problem-solving skills