Description

Lead Data Engineer responsible for architecting and optimizing cloud-based data solutions.

Responsibilities

• Design and implement scalable data models, ETL/ELT pipelines, and data sharing mechanisms in Snowflake.
• Write complex, efficient SQL queries and optimize performance for cloud data environments.
• Ensure data security, governance, and integrity across AWS, Azure, or Google Cloud platforms.
• Collaborate with cross-functional teams to deliver high-quality data products and resolve technical issues.

Required Skills

• 5+ years of experience in data warehousing and cloud data engineering.
• Extensive expertise with Snowflake, including data modeling and performance tuning.
• Proficiency in Python and PySpark for data processing and transformation.
• Strong command of SQL for complex analytical queries.
• Hands-on experience with cloud platforms: AWS, Azure, or Google Cloud.
• Experience with Redshift, BigQuery, or Synapse Analytics.
• Knowledge of data integration tools such as ADF or IICS.

Preferred Skills

• Familiarity with Agile development methodologies.
• Snowflake or related cloud data certifications.

Key Skills

Education

Any Gradute