Description

- Design, develop, and maintain scalable data pipelines and systems.
- Work closely with data scientists and analysts to ensure data quality and availability.
- Implement data integration and transformation processes using PySpark and Python.
- Optimize and maintain SQL databases and queries.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Monitor and troubleshoot data pipeline issues to ensure data integrity and performance.

Required Skills and Qualifications:

- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 3+ years of experience in data engineering.
- Proficiency in PySpark, Python, and SQL.
- Experience with Azure Databricks is a plus.
- Solid problem-solving skills and attention to detail.
- Excellent communication and teamwork abilities.

Responsibilities

- Design, develop, and maintain scalable data pipelines and systems.




- Work closely with data scientists and analysts to ensure data quality and availability.
- Implement data integration and transformation processes using PySpark and Python.
- Optimize and maintain SQL databases and queries.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Monitor and troubleshoot data pipeline issues to ensure data integrity and performance.

Qualifications

Preferred Qualifications:

- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 3+ years of experience in data engineering.
- Proficiency in PySpark, Python, and SQL.
- Experience with cloud platforms such as Azure, AWS, or Google Cloud.
- Knowledge of data warehousing concepts and technologies.
- Familiarity with ETL tools and processes.

📌 IT_IT New Technologies_1 (100) (Uttar Pradesh)
🏢 Havells
📍 Uttar Pradesh