Data Architecture Engineering Senior Professional

Key Responsibilities: Build data pipelines to clean, transform, and aggregate data from disparate sources. Design, build, and maintain ETL processes while working with large and complex datasets. Perform quality assurance on imported data and collaborate with multiple teams as needed. Manage and design the reporting environment, including data sources, security, and metadata. Manage master data, including creation, updates, and deletion. Support the data warehouse by identifying and refining reporting requirements. Develop and troubleshoot reports and dashboards using single or multiple data sources. Evaluate changes and updates to source production systems. Required Skills: Proven work experience as a Data Engineer or in a related role. Proficiency in MSSQL, Batch/Powershell, REST API's, PBI Reporting Strong understanding of data methodologies and processes. Hands on experience in ETL/ELT Solid understanding of data engineering principles, including statistical analysis. Familiarity with the AWS ecosystem, including Redshift, Airflow, S3, and related services. Demonstrated experience handling large datasets and relational databases. Ability to work effectively in a dynamic, research-oriented team with multiple concurrent projects. Understanding of data privacy regulations. Knowledge on Oracle EBS/Salesforce Finance modules. Knowledge on MS-SSIS and SSAS Knowledge on Data warehousing Data modeling Excellent communication, problem-solving, and collaboration abilities