Lead Data Engineer

📋 Description

• Design, develop, and maintain data pipelines to ingest, transform, and normalize data.
• Lead the design and implementation of data ingestion architectures in Snowflake.
• Apply data validation practices to ensure accuracy and reliability.
• Work with large datasets using SQL and Python to process data efficiently.
• Ensure data quality with validation rules, checks, and monitoring.
• Collaborate with stakeholders to translate data requirements into scalable solutions.

🎯 Requirements

• 4+ years of experience in Data Engineering or Data Analytics roles with strong engineering focus.
• Strong hands-on experience with Snowflake.
• Strong hands-on experience with Python for data processing and transformation.
• Strong experience with SQL and working with large-scale datasets.
• Proven experience in data validation, data transformation, and normalization.
• Experience building and maintaining ETL pipelines and handling data ingestion workflows.

🎁 Benefits

• Certifications in AWS, Databricks, and Snowflake.
• Access to AI learning paths and Udemy Business courses.
• English lessons to support professional communication.
• Travel opportunities to attend industry conferences and meet clients.
• Mentoring and development programs for career growth.
• Company-provided equipment and flexible working options.