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Data Engineer to perform the following duties: Ingest and transform data to be used for analytics. Translate business requirements into technical requirements, and blend business acumen with technical expertise to transition between business strategy and data development. Write high engineering quality SQL and Python-based transformations running in cloud data warehouses (in ELT fashion). Serve as the responsible individual for major sections of the Enterprise Dimensional Model through model design, code development, reviews, pairing, and training to deliver optimal and scalable database designs and queries. Design and develop data pipelines and ETL processes to connect with various data sources. Collaborate with business stakeholders, and data scientists, and analytics engineers to design, develop end-to-end data pipelines to meet fast paced organization needs across geographic regions. Support application programming interfaces (APIs), tools, and third-party products to extract data from SaaS applications. Research, recommend, and implement methods to ensure data integrity and quality. Build analytical solutions by manipulating large data sets and integrating diverse data sources. Work closely with the data scientists, analytics engineers, and systems administrators to create data solutions. Ensure current and future architecture meets stakeholder needs. Build and manage large scale data systems and ingestion capabilities and infrastructure. Implement standardized, automated operational and quality control processes to deliver accurate and timely data and reporting to meet or exceed SLAs. Perform ad-hoc analysis to meet business requirements, as requested. 100% Remote Position Reports directly to Company Headquarters in Clearwater, FL.

3 years of experience as Analyst, Engineer, or any occupation in which the required experience was gained, and demonstrated experience in: Snowflake and AWS S3; SQL/Python/HTML/CSS/Javascript/Angular JS/Highcharts; Data pipeline / ETL flow; Informatica Power Center client; Custom Java CDC; SSIS ETL tools; Oracle & SQL Server & Teradata databases; Cloudera Hadoop Clusters; Python for Machine Learning; Monitor and report issues with highly operational SSAS cubes; Administration tasks for SSRS &Tableau reporting tools.

Masters degree in Information Systems Technology, Computer Science, Computer Engineering, or related field. A bachelors degree plus 5 years of experience will be accepted in lieu of a masters degree plus 3 years of experience.

Please copy and paste your resume in the email body do not send attachments, we cannot open them and email them at candidates at (link removed) with reference #2312065 in the subject line.