Lead Data Engineer, Snowflake

This is a fully remote position, open to applicants in Bulgaria.

📋 Description

• Design, develop, and sustain scalable data pipelines and data platforms.

• Create and enhance ETL/ELT processes for large-scale data processing.

• Utilize Databricks to design and oversee data workflows and analytical solutions.

• Execute data processing solutions using Apache Spark and contemporary data engineering methodologies.

• Collaborate with data scientists, analysts, and business stakeholders to facilitate data-driven insights.

• Ensure the quality, reliability, and performance of data pipelines.

• Contribute to architectural decisions and enhancements of the data platform.

• Guide junior engineers and advocate for best practices in data engineering.

⛳️ Requirements

• Over 5 years of experience in Data Engineering or Big Data development.

• Practical experience with Databricks, Apache Spark, and/or Snowflake, dbt.

• Strong background in building ETL/ELT pipelines.

• Proficient in Python for data processing tasks.

• Experienced with SQL and data modeling techniques.

• Familiar with cloud platforms (AWS, Azure, or GCP).

• Knowledge of data lake or Lakehouse architectures.

• Experience with version control systems (e.g., Git) and CI/CD methodologies.

• Strong analytical and problem-solving abilities.

• Excellent communication skills in English.

🏝️ Benefits

• Health insurance.

• Flexible working hours.

• Opportunities for professional development.