Senior Data Engineer

Role Overview: As a part of Beyond Key, you will have the opportunity to work in a Microsoft Gold Partner and a Great Place to Work-certified company that values the happiness of team members and clients. You will be an integral part of an international IT consulting and software services firm dedicated to delivering cutting-edge services and products to meet the global needs of clients. Since our establishment in 2005, we have grown our team to include over 350+ skilled software professionals and cater to clients from the United States, Canada, Europe, Australia, the Middle East, and India by creating and designing IT solutions tailored to their requirements. Key Responsibilities: - Design and own end-to-end data pipelines and Snowflake data models - Process large-scale data with Databricks (PySpark/Spark SQL) - Translate business needs into scalable architectures and robust ETL/ELT frameworks - Collaborate with teams to deliver production-grade datasets and mentor juniors - Optimize Azure cloud infrastructure and manage data integration tools Qualifications: - 5+ years of experience in enterprise cloud data platforms - Deep expertise in Snowflake, Databricks, Python, and Azure - Experience with Fivetran, ETL/ELT design, and data modeling - Preferred: Experience with orchestration tools (Airflow), streaming (Kafka), and infrastructure-as-code (Terraform) Role Overview: As a part of Beyond Key, you will have the opportunity to work in a Microsoft Gold Partner and a Great Place to Work-certified company that values the happiness of team members and clients. You will be an integral part of an international IT consulting and software services firm dedicated to delivering cutting-edge services and products to meet the global needs of clients. Since our establishment in 2005, we have grown our team to include over 350+ skilled software professionals and cater to clients from the United States, Canada, Europe, Australia, the Middle East, and India by creating and designing IT solutions tailored to their requirements. Key Responsibilities: - Design and own end-to-end data pipelines and Snowflake data models - Process large-scale data with Databricks (PySpark/Spark SQL) - Translate business needs into scalable architectures and robust ETL/ELT frameworks - Collaborate with teams to deliver production-grade datasets and mentor juniors - Optimize Azure cloud infrastructure and manage data integration tools Qualifications: - 5+ years of experience in enterprise cloud data platforms - Deep expertise in Snowflake, Databricks, Python, and Azure - Experience with Fivetran, ETL/ELT design, and data modeling - Preferred: Experience with orchestration tools (Airflow), streaming (Kafka), and infrastructure-as-code (Terraform)