Hiring: Cloud Data Engineer Company: AmTrust Financial Services, Inc. Location: Dallas, TX Job Posted Time: 2026-09-10 11:57:14 Target Skills & Keywords : AI, Azure, Azure DevOps, CI/CD, Data Lakehouse, Data Pipeline, Databricks, ELT, ETL, Git, MLOps, Machine Learning, PySpark, Python, SQL, Scala, Snowflake, Spark, T-SQL About the job Experience: •7+ years of experience in cloud data engineering, ETL/ELT development, data warehousing, and enterprise analytics solutions. Required Skills: •Design, develop, and maintain scalable cloud-based data engineering solutions, including ETL/ELT pipelines, data integration processes, reports, and analytics workflows using technologies such as Azure Databricks, Azure Synapse Analytics, Azure Data Factory, and SQL. •Demonstrate expert knowledge of modern cloud architecture, data lakehouse design, and data warehousing best practices, evaluating technical design alternatives and their business and operational impacts. •Develop, optimize, and troubleshoot complex SQL, T-SQL, Spark SQL, and PySpark workloads, with a strong focus on performance tuning, scalability, reliability, and cost efficiency. •Design, code, test, tune, deploy, and document new and existing data solutions, including Databricks notebooks developed in Python, PySpark, Spark SQL, and Scala, as well as cloud-native applications, APIs, and data pipelines utilizing Git, CI/CD, and Azure DevOps best practices. •Manage the complete development lifecycle for complex, high-impact data initiatives, including requirements gathering, solution design, development, testing, deployment, production support, and continuous improvement. •Support and enable AI, machine learning, and Generative AI initiatives by developing curated datasets, feature engineering pipelines, and scalable data platforms that power advanced analytics and intelligent business solutions. •Stay current with emerging trends and technologies in cloud computing, data engineering, artificial intelligence, Databricks, Azure services, automation, and analytics, recommending innovative solutions that drive business value and operational excellence. •Collaborate effectively with business stakeholders, architects, developers, and leadership teams, leveraging exceptional verbal and written communication skills to translate business requirements into scalable technical solutions and communicate complex concepts to both technical and non-technical audiences. Qualifications: •Strong hands-on experience with Azure Databricks, Azure Synapse Analytics, Azure Data Factory, and modern cloud-based data lakehouse architectures. •Proven experience implementing the Medallion Architecture (Bronze, Silver, and Gold layers) to support scalable, governed, and high-quality data pipelines for enterprise analytics and reporting. •Advanced proficiency in Python, PySpark, Spark SQL, SQL, T-SQL, and Scala, with the ability to develop, optimize, and support highly scalable Databricks notebooks and distributed data processing workloads. •Proven experience designing, developing, and tuning complex queries and large-scale data processing solutions across high-volume datasets. •In-depth knowledge of data warehousing concepts, including dimensional modeling, Star and Snowflake schemas, data governance, metadata management, and data quality best practices. •Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related technical discipline, or equivalent work experience. •Strong analytical and problem-solving skills with a demonstrated ability to design innovative solutions for complex business and technical challenges. •Exceptional verbal and written communication skills, with the ability to communicate effectively with technical and non-technical stakeholders, lead requirements gathering sessions, produce technical documentation, and present solutions to leadership audiences. •Proven ability to work independently while collaborating effectively in a fast-paced, team-oriented environment. •Strong commitment to continuous learning, innovation, and staying current with emerging cloud, data engineering, AI, and analytics technologies. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!