Data Engineer

Role & responsibilities Details on tech stack databricks, python, pyspark, Snowflake, SQL Min requirements to the candidate 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 GD Requirements 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) Preferred candidate profile