Напиши текст вакансии для должности "Data Engineer (Data Analyst)". Название компании: "AbbVie". Расположение: Москва. График работы: Полный день. Опыт работы: От 1 года до 3 лет. Ключевые навыки: 'Python', 'Spark', 'English'

Data Engineer (Data Analyst) Purpose:  For Russian commercial winning with data initiatives involving large data sets, the data engineer is responsible for curating content to support key business initiatives, working primarily with data analysts across functional disciplines. Participates in the acquisition, cataloging, and harmonization of information aligned with the needs of business stakeholders. Supports data consumers in understanding information context, generating fit for purpose datasets, and effectively utilizing advance analytic tools. Responsibilities:    Planning, building and running enterprise class information management solutions across a variety of technologies (e.g. big data, Palantir, master data, data profiling, batch processing, and data indexing technologies);   Establishing advance search solutions that include synonym, inference and faceted searching;     Ensuring appropriate security and compliance policies are followed for information access and dissemination;   Defining and applying information quality and consistency business rules throughout the data processing lifecycle;   Collaborating with information providers to ensure quality data updates are processed in a timely fashion;   Enforcing and expanding use of AbbVie Common Data Model and industry standard information descriptions (ontologies, taxonomies, vocabularies, lexicons, dictionaries, thesaurus, glossaries etc);   Managing the information portal and its customer-facing resources (data catalog, data portal, etc);     Defining data quality rules and establishing processes to implement them;   Build a strong data governance framework by working with global and affiliate stakeholders;   Establishing MDM model for data sources.   Qualifications:    Bachelor’s Degree with 1-2+ years of related work experience and a strong understanding of specified functional area. Degree in Computer Science or related discipline preferred;   At least 1-2 years&#39; experience in several data processing roles such as database developer/administrator, ETL developer, data analyst, BI analytics developer, and/or solution developer of contextual search applications;   Strong knowledge of Python, Pyspark is required;   Experience with Informatica tools (PowerCenter, Big Data Management, Master Data Management), Cloudera CDH and ecosystem tools (SOLR, Spark, Impala, Hive, Hue, etc…), MarkLogic, SAS Analytics, R and Amazon Web Services preferred;   Exposure to Palantir Foundry platform or other data management platforms preferred.