Data Engineer (Hybrid)

📋 Description

• Design, develop, and maintain data pipelines with Apache Airflow to automate data tasks.
• Leverage AWS services (S3, Redshift, RDS, Lambda, Glue) to build scalable data solutions.
• Develop and maintain ETL processes, data transformations, and data modeling.
• Collaborate with teams to define data requirements and ensure data quality.
• Conduct exploratory data analysis to identify patterns and share findings.
• Develop data-driven models and algorithms to support business goals.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, or related field.
• Strong experience with Apache Airflow for orchestration and data pipelines.
• Proficiency in AWS services (S3, Redshift, RDS, Lambda, Glue).
• Python with Pandas, NumPy, and scikit-learn.
• Familiarity with SQL and data manipulation languages.
• Strong analytical and problem-solving skills.

🎁 Benefits

• Monthly learning & wellness stipend
• Internal training
• Unlimited subscriptions to streaming services & movie tickets