Remote
Contract
Greater Bengaluru Area
About the Role
We are seeking a skilled and motivated Data Engineer with a strong background in Python development and Azure services. The ideal candidate will have hands-on experience in data integration, SQL, and cloud-based data engineering platforms. You’ll play a key role in building, maintaining, and optimizing data pipelines and warehouse solutions to support our analytics and business intelligence needs.
Key Responsibilities:
Develop and maintain scalable data pipelines using Python.
Use SQL to retrieve, manipulate, cleanse, and store structured data efficiently.
Leverage PySpark for large-scale data processing (experience preferred).
Design, implement, debug, and optimize data integration workflows across various data sources.
Collaborate with business stakeholders to ensure accurate data interpretation and usage.
Deliver high-quality data warehouse solutions independently or within a team setting.
Follow and improve established development standards and best practices.
Manage and optimize high-volume data warehouse environments.
Effectively prioritize and handle multiple tasks in a dynamic work environment.
Technical Skills & Competencies:
Strong proficiency in Python development.
Hands-on experience with SQL and data manipulation techniques.
Experience with Databricks (preferred).
Solid understanding of Azure Services and Architecture.
Strong analytical and problem-solving skills.
Excellent written and verbal communication abilities.
Self-motivated team player with the ability to adapt quickly.
Key Responsibilities:
Develop and maintain scalable data pipelines using Python.
Use SQL to retrieve, manipulate, cleanse, and store structured data efficiently.
Leverage PySpark for large-scale data processing (experience preferred).
Design, implement, debug, and optimize data integration workflows across various data sources.
Collaborate with business stakeholders to ensure accurate data interpretation and usage.
Deliver high-quality data warehouse solutions independently or within a team setting.
Follow and improve established development standards and best practices.
Manage and optimize high-volume data warehouse environments.
Effectively prioritize and handle multiple tasks in a dynamic work environment.
Technical Skills & Competencies:
Strong proficiency in Python development.
Hands-on experience with SQL and data manipulation techniques.
Experience with Databricks (preferred).
Solid understanding of Azure Services and Architecture.
Strong analytical and problem-solving skills.
Excellent written and verbal communication abilities.
Self-motivated team player with the ability to adapt quickly.