SENIOR DATA ENGINEER @ ALPHOSOFT
Alphosoft is currently seeking a highly experienced Senior Data Engineer to join our technical team in Columbus, OH. This role is designed for a professional with over a decade of hands-on experience in building and optimizing large-scale data systems. The successful candidate will be responsible for designing, constructing, and maintaining high-performance data pipelines that enable the business to leverage complex datasets for strategic decision-making.
The position requires extensive expertise in the modern data stack, specifically using PySpark, Databricks, and Snowflake to process and store data efficiently. You will work with cloud-native technologies including AWS Glue, Azure Data Factory, and Airflow for orchestration. The role involves implementing robust ETL processes and managing real-time data streaming through Kafka. This position is based in Columbus, OH, and we are open to candidates who are willing to relocate to the area.
The position requires extensive expertise in the modern data stack, specifically using PySpark, Databricks, and Snowflake to process and store data efficiently. You will work with cloud-native technologies including AWS Glue, Azure Data Factory, and Airflow for orchestration. The role involves implementing robust ETL processes and managing real-time data streaming through Kafka. This position is based in Columbus, OH, and we are open to candidates who are willing to relocate to the area.
Key Requirements
Minimum of 10 years of professional experience in Data Engineering.
Deep proficiency in PySpark and Databricks for data processing.
Hands-on experience with Delta Lake and Snowflake data warehousing.
Expertise in cloud services including AWS Glue and Azure Data Factory.
Proven experience with workflow orchestration tools such as Airflow.
Strong knowledge of real-time data streaming technologies like Kafka.
Proficiency in Infrastructure as Code using Terraform.
Experience with data visualization tools like Power BI.
Strong SQL skills and experience with relational database management.
Ability to design and maintain scalable and reliable data architectures.