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Data Engineer
1 month ago
Data Engineer - ETL/SSAS Specialist
We are looking for an experienced Data Engineer to join our team. As a Data Engineer, you will design, develop, evaluate, and test data infrastructures. This includes source system analysis, data modeling, business measure development, and report/visualization formatting. You will ensure compliance with policies and procedures, safety, state, and federal laws, regulations, and standards. Your primary focus will be on consolidating separate data and reporting suites. You will also ensure business users are enabled with carefully curated data visualizations with accurate, reliable, and consistent data to monitor contract performance and assist in decision making. You will determine reporting needs, develop and build reports, train users, and establish reporting cadences and processes. Additionally, you will fulfill the below roles and responsibilities:
• Translate logical designs into physical designs, taking account of business requirements, target environments, processes, performance requirements, existing systems and services, and any potential safety-related aspects.
• Analyze and organize raw data.
• Build data systems and pipelines.
• Evaluate business needs and objectives.
• Interpret trends and patterns.
• Conduct complex data analysis and report on results.
• Prepare data for prescriptive and predictive modeling.
• Build algorithms and prototypes.
• Combine raw information from different sources.
• Explore ways to enhance data quality and reliability.
• Identify opportunities for data acquisition.
• Develop analytical tools and programs.
• Collaborate with data scientists and architects on multiple projects technologies.
Your technical experience should include 4+ years of experience in MS Fabric, 4+ years of hands-on experience in MS SQL Server writing complex T-SQL queries, stored procedures, functions, etc.
4+ years of ETL development using Azure Data Factory (experience with SSIS a plus), 4+ years of experience with building data pipelines and analytics solution to stream and process datasets at low latencies.
4+ years of experience with complex data modeling, ELT/ETL design, and using large databases in a business environment. You should also have experience ingesting data from various source formats viz. Parquet, csv, SQL databases, SharePoint, APIs, etc. to Azure SQL databases. 3+ years of experience with SSAS (SQL Analysis Services) Tabular and Multi-Dimensional cubes/models. Experience writing DAX expressions a plus. Expertise in ELT/ETL optimization, designing, coding, and tuning big data processes using Azure Data Factory. Advanced experience in SQL Server relational database management systems. Extensive understanding and knowledge in data analytics and reporting (TSQL, SSRS, Power BI, etc.). Strong knowledge of data warehousing frameworks and methodologies. Knowledge of Data Engineering and Data Operational Excellence using standard methodologies. Knowledge of QA tools (manual and automated). Experience in data mining, profiling, and analysis. Experience with usage of source control within a team environment (Git, TFS, etc.). A strong understanding of database design best practices. Experience with Azure - setting up and monitoring databases, users, and access rights. Experience with Yardi system is a big plus.
