Description

Key Responsibilities:

• Develop and maintain scalable data pipelines using Python.
• Design and implement ETL processes for data integration.
• Write and optimize complex SQL queries.
• Perform data extraction, transformation, and loading.
• Develop data validation and quality-checking processes.
• Work with structured and unstructured datasets.
• Support data warehouse development and maintenance.
• Collaborate with data analysts and business teams.
• Strong programming knowledge in Python.
• Proficiency in SQL and database management.
• Understanding of ETL and ELT processes.
• Knowledge of data warehousing concepts.
• Familiarity with Apache Spark or PySpark.
• Understanding of cloud platforms such as AWS or Azure.
• Knowledge of data modeling and data integration.
• Strong analytical and problem-solving skills

Key Skills

Education

Bachelor's degree