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.