Cloud Data & Analytics Engineer

AWS Solutions Architects

• Experience in design and implementation of distributed applications, networking, infrastructure, or database architecture.
• Experience with on‑premise to cloud migrations or IT transformations.
• Experience architecting and operating solutions built on AWS.
• Presentation skills with a high degree of comfort speaking with executives, IT management, and developers.
• Excellent communication skills with an ability to right‑level conversations.
• Demonstrated ability to adapt to new technologies and learn quickly.

• Strong knowledge of advanced statistical methods, Bayesian learning techniques, pattern recognition, and outlier detection algorithms.
• Experience with advanced topics such as decision trees, random forests, neural networks, and other deep learning methods.
• Familiarity with one or more script‑based data visualization tools such as ggplot, matplotlib, Shiny, or D3.
• Knowledge of machine learning or statistical modeling tools such as R, SAS, MATLAB, or Python (scikit‑learn, Theano).
• Proficiency in computer processes and methods, and familiarity with languages such as C/C++, Java, C#, SQL, Perl, Python, UNIX, shell scripting, distributed/parallel computing, and regular expressions.
• Familiarity with state‑of‑the‑art database techniques.
• Hands‑on technical experience with conceptualizing large‑scale data solutions, such as Hadoop, Teradata, Sybase IQ, Microsoft Analytics Platform System (Client), IBM Netezza, etc.

• Help create reporting and analysis tools using Tableau, Cognos, Qlickview, SSRS, and other Business Intelligence applications.
• Support various stages of the end‑to‑end report development lifecycle.
• Support the development, optimization, and enhancement of BI reporting tools.
• Support maintenance of production BI reporting tools.
• Support analysis of requirements, design specifications, development, and technical and user documentation of report development through direct interaction with internal customers.
• Lead activities to understand business objectives, assumptions, and constraints related to a particular question/problem where reporting tools can serve as a solution.
• Communicate status issues and changes to the appropriate audience.
• Track, monitor, and communicate changes in reporting platforms and data sources to provide such insight to larger BI and IT teams.
• Strong analytical, quantitative, problem‑solving, and organizational skills; attention to detail; and ability to coordinate multiple tasks, set priorities, and meet deadlines.

• Develop complex data extracts, applications, and ad‑hoc queries as requested by internal and external customers using SQL, SSIS, and the Informatica toolset (Powercenter, B2B with MFT).
• Maintain production Business Intelligence products and solutions, including resolving production issues and responding quickly to priority problems.
• Research, troubleshoot, and resolve data issues impacting extract delivery.
• Work closely with Business Systems Analysts to understand requirements, ensure data quality, and match‑back to core system transaction results.
• Experience with SQL Server, Transact SQL, SQL Server Integration Services (SSIS), C#, XML, and Informatica.
• Managed file transfer automation experience: FTP, SFTP, PGP.