Senior Cloud ETL Engineer in Bucuresti

This hands-on role serves as a Sr. BI developer for the Business Analytics and Reporting team, provides solutions and is strong with building and implementing. Responsibilities & Deliverables: Your deliverables as a Sr. BI Developer will include, but are not limited to, the following: Develop and deliver a robust Reporting and Business Analytics solutions. Ensure the solution supports Student Lending client data needs and can be easily extended to newly acquired clients and their standards. Working closely with both the enterprise level and project level team - data owners, stewards, users, business analysts, developers, quality analysts, department managers, architects, and other stakeholders to understand reporting requirements Prepare all necessary documentation that clearly describes solutions and Metadata. Monitor, tune-up and administer BI Environments for quality and optimal performance purpose. Debug, monitor, and troubleshoot BI solutions. Be aware of and comply with all corporate and department policies, procedures, and standards that apply to your work area. Ensure that Reporting and Business Analytics strategies and architectures are in regulatory compliance. Required Skills & Experience: 5+ years of hands-on experience developing data and analytic Solutions. Must have at least one-year hands-on experience on Scala/Python/Java/C++ etc. language. Have hands-on experience with Azure Cloud Data Engineering suite: ADF, Databricks, Azure Data Lake, Spark, Azure SQL and Azure SQL Data Warehouse Strong programming experience in SQL and one or more of the following languages: Scala, Python, Java. Experience with business requirements analysis, entity relationship planning, data modeling, database design, reporting structures. Direct experience in implementing enterprise data management processes, procedures, and support on data monitoring. Understanding of large-scale DB and reporting solution design, Source to Target Mappings, distributed DB design, multi environment structures, logical DB partitioning strategy, data archiving and retention, design and development of reporting semantic layer and view objects and logic Experience with DAX, Tabular and Power BI. Experience with data processing flowcharting techniques. Experience developing and maintaining ETL tools and platforms such as Azure ADF Experience with data architecting, large-scale data modeling, and business requirements gathering/analysis. Strong understanding of BI Reporting & ETL technologies, relational and dimensional data structures, Big Data hands-on experience, principles, and best practices. Strong familiarity with metadata management and associated processes. Demonstrated expertise with repository creation, and data and information system life cycle methodologies. Understanding of Web services (SOAP, XML, REST, JSON, UDDI). Good knowledge of applicable data privacy practices and laws. Nice to have: Experience training Machine Learning models in a Cloud computing environment such as: Azure, Amazon EC2, Google Cloud Platform etc.