Data EngineerWork closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions. Implement data migration and data engineering solutions using Azure products and services and traditional data warehouse tools. Perform multiple aspects involved in the development lifecycle - design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, prod support.
Be a part of a DevOps team that completely owns and supports their product. Implement batch and streaming data pipelines using cloud technologies. Support development of coding standards, best practices and privacy and security guidelines.Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training3 years of software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions3 years of data analytics experience using SQL2 years of hands-on experience in Python or Spark.Preferred Qualifications:5+ years software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions5+ years data analytics experience using SQL.
3+ years of development experience in Python or Spark.2+ years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BIAirline Industry Experience