Mid Big Data Engineering
Our team develops global solutions and is part of an ambitious new program to redesign the way we extract insights from the data. Not only the team is responsible for the insights, but has control on the end to end process, starting from data acquisition. You will be exposed to learning new technologies and to develop yourself professionally. We are organized as a tribe, with multiple squads and no hierarchies, just a group of volunteers willing to make our future happen. KEY RESPONSABILITIES Read, extract, transform, stage and load data to selected tools and frameworks (cloud and on premise) Work closely to product and reporting team to integrate your work into current production solutions. Process unstructured data into a form suitable for analysis Support business decisions with ad hoc analysis as needed Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems Monitoring data performance and modifying infrastructure as needed ROLE REQUIREMENTS Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Enhance data collection procedures to include information that is relevant for building analytic systems. Obsession by accuracy data and automate processes. Solid problem-solving skills, supported by a logical, methodical and thorough approach to implementation. Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks Specify quality checks that assure QA in data and one SVOT Excellent interpersonal and communication skills to establish and maintain collaborative work relationships at all levels. Good writing and oral communications skills in English PROFESSIONAL QUALIFICATIONS & SKILLS Must have:
Strong knowledge of and experience with SQL Technical expertise on big data environments such Hadoop ecosystem Experience processing large amounts of structured and unstructured data, including integrating data from multiple sources. Programming experience ideally in Spark, Scala, Hive, Java or Python and ability to learn new coding languages and programs Deep knowledge of data mining, machine learning, natural language processing, or information retrieval. Technical expertise regarding data models, database design development and data mining. Experience in production support and troubleshooting. Hands on with can do attitude Highly desirable:
Experience in MapReduce is a plus. Agile methodologies Platform experience, JIRA, Confluence SOFT SKILLS High communication skills Team player Intellectual curiosity Analytical skills Self-management Pro-activity Out of the box thinking
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine Learning, Software DevelopmentEstimated Salary: $20 to $28 per hour based on qualifications.
Strong knowledge of and experience with SQL Technical expertise on big data environments such Hadoop ecosystem Experience processing large amounts of structured and unstructured data, including integrating data from multiple sources. Programming experience ideally in Spark, Scala, Hive, Java or Python and ability to learn new coding languages and programs Deep knowledge of data mining, machine learning, natural language processing, or information retrieval. Technical expertise regarding data models, database design development and data mining. Experience in production support and troubleshooting. Hands on with can do attitude Highly desirable:
Experience in MapReduce is a plus. Agile methodologies Platform experience, JIRA, Confluence SOFT SKILLS High communication skills Team player Intellectual curiosity Analytical skills Self-management Pro-activity Out of the box thinking
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine Learning, Software DevelopmentEstimated Salary: $20 to $28 per hour based on qualifications.
|
|
 | |
