Data Engineer

• Advanced SQL queries, scripts, stored procedures, materialized views, and views
• Focus on ELT to load data into database and perform transformations in database
• Ability to use analytical SQL functions
• Snowflake experience 
• Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift); data modeling, analysis, programming
• Experience with DevOps models utilizing a CI/CD tool
• Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob)
• Airflow

Preferred candidate profile

• Good interpersonal skills; comfort and competence in dealing with different teams within the organization.
• Requires an ability to interface with multiple constituent groups and build sustainable relationships.
• Strong and effective communication skills (verbal and written).
• Strong analytical, problem-solving skills.
• Experience of working in a matrix organization.
• Proactive problem solver.
• Ability to prioritize and deliver.
• Results-oriented, flexible, adaptable.
• Work well independently and lead a team.
• Versatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions.
• Ability to master new skills.
• Familiar with Agile practices and methodologies
• Professional data engineering experience focused on batch and real-time data pipelines using Spark, Python, SQL
• Data warehouse (data modeling, programming)
• Experience working with Snowflake
• Experience working on a cloud environment, preferably, Microsoft Azure Cloud Data Warehouse solutions (Snowflake, Azure DW)