17 Jan
Data Engineer | Location: Atlanta, GA
Georgia, Atlanta , 30377 Atlanta USA

Vacancy expired!

Role: Data Engineer Location: Atlanta, GA Exp: 10+ Duration: 6months Data Engineer (Informatica, python exp required)

  • Remote thru Covid but will go back into the office in the future (2022).
  • Will require occasional travel to remote sites. (10% to 20% travel)
  • Role Overview The client is looking for multiple Data Engineers to join our Global Digital Team. The Data Engineers will work with the assigned functional SMEs within the Digital and the Business team to understand the requirements and prepare a technical design. They will ensure the availability and validity of the data to ensure that it fits with the requested business rules. The Data Engineers will create and maintain the Source-to-Target data mappings, Logical and Physical Data Model and, business and technical test cases to ensure data quality. In addition, they will also assist in developing the data pipeline (using Informatica BDM or Python) to ensure ongoing data collection, consolidation, and management. The Data Engineers will aid in the optimization of operations by manipulating and aggregating the disparate data sources into a format that is easily digestible by both data scientists and statistically adept colleagues. Their core responsibility will be to combine large volumes of disparate complex data, conduct quality checks on the data, manipulate the data and ensure continuous access to a clean format of the operational data for data scientists and other stakeholders. Responsibilities Take ownership of the Functional Data Domain assigned to the Data Engineer. Gather knowledge of the business, functions, and their data analysis needs along with business's relationship with the Data. Work with Functional team to understand requirements, data sources and business rules. Identify, Analyze and Profile the data across various source systems to understand and ensure that data fits the business requirements. Raise any data anomalies and work with the functional users to close any anomalies or data gaps. Identify relationships across multiple source systems; and create reference data with the help of data stewards. Design the Dimensional Data Model, Data Engineering Pipelines, Data Quality and Validation rules based on the business requirements and rules that would include any error handing, exception management and data quality routines to expose the anomalies in the data. Finalize the technical Source-to-Target mapping to develop the data pipelines from source systems to the dimensional model. Work with the team of Developer(s) for the technical implementation of the Data Pipelines. Ensure that the Unit and Integration tests complete successfully. Drive the QA/UAT with the Functional users and ensure a deployment to higher environments. Designs and jointly develops the data architecture with data architect and ensures security and maintenance Identifies gaps and implements solutions for data security, quality and automation of processes Supports maintenance, bug fixing, and performance analysis along the data pipeline Diagnoses existing architecture and data maturity and identifies gaps Gather requirements, assess gaps and build roadmaps and architectures to help the analytics-driven organization achieve its goals
Thank You, Venkata Sairam Technical Recruiter - Fluxtek Solutions Inc D: +1 M: +1 E: https://www.linkedin.com/in/sairamdv/ Certified Woman-Owned Business Enterprise (WMBE) "Donate RED | Spread GREEN | Save BLUE"

Vacancy expired!


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