Description

Key Responsibilities

• Develop scalable and efficient data pipelines using Python.
• Build and maintain ETL/ELT workflows.
• Integrate structured and unstructured data from multiple sources.
• Optimize database performance and data processing jobs.
• Collaborate with data analysts, scientists, and engineering teams.
• Implement data validation and monitoring processes.
• Support cloud data platforms and big data ecosystems.

Required Skills

• Strong hands-on experience in Python development.
• Advanced SQL knowledge.
• Experience with data pipeline tools and frameworks.
• Knowledge of APIs and data integration techniques.
• Familiarity with cloud services (AWS, Azure, GCP).
• Understanding of data warehousing and data lake concepts.
• Experience with Git and CI/CD practices.

Preferred Qualifications

• Experience with Spark, Kafka, or Airflow.
• Exposure to Snowflake, Databricks, or Redshift.
• Knowledge of Agile methodologies

Key Skills

Education

Bachelor's degree