Data Engineer

hace 2 semanas


Monterrey, México Chubb INA Holdings Inc. A tiempo completo

Job Requirements We are looking to hire a data analyst to join our data team. Who will take responsibility for managing master data set, developing reports, and troubleshooting data issues. To do well in this role is necessary a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases. **Responsibilities**: - You will be using Data wrangling techniques converting one "raw" form into another including data visualization, data aggregation, training a statistical model etc. - Work with various relational and non-relational data sources with the target being Azure based SQL Data Warehouse & Cosmos DB repositories - Clean, unify and organize messy and complex data sets for easy access and analysis - Create different levels of abstractions of data depending on analytics needs - Hands on data preparation activities using the Azure technology stack especially Azure Databricks is strongly preferred - Implement discovery solutions for high speed data ingestion - Work closely with the Data Science team to perform complex analytics and data preparation tasks - Work with the Sr. Data Engineers on the team to develop APIs - Experience with Complex Data Parsing (Big Data Parser) and Natural Language Processing (NLP) Transforms on Azure a plus - Design solutions for managing highly complex business rules within the Azure ecosystem **Minimum Requirements**: - Mid to advanced level knowledge of Python and Pyspark is an absolute must. - Knowledge of Azure, Hadooop 2.0 ecosystems, HDFS, MapReduce, Hive, Pig, sqoop, Mahout, Spark etc. a must - Experience with Web Scraping frameworks (Scrapy or Beautiful Soup or similar) - Significant programming experience (with above technologies as well as Java, R and Python on Linux) a must - Extensive experience working with Data APIs (Working with RESTful endpoints and/or SOAP) - Excellent working knowledge of relational databases, MySQL, Oracle etc. - Experience with Complex Data Parsing (Big Data Parser) a must. Should have worked on XML, JSON and other custom Complex Data Parsing formats - Knowledge of High-Speed Data Ingestion, Real-Time Data Collection and Streaming is a plus - Bachelor’s in computer science or related educational background - 3-5 years of solid experience in Big Data technologies a must Work Experience **Minimum Requirements**: - Mid to advanced level knowledge of Python and Pyspark is an absolute must. - Knowledge of Azure, Hadooop 2.0 ecosystems, HDFS, MapReduce, Hive, Pig, sqoop, Mahout, Spark etc. a must - Experience with Web Scraping frameworks (Scrapy or Beautiful Soup or similar) - Significant programming experience (with above technologies as well as Java, R and Python on Linux) a must - Extensive experience working with Data APIs (Working with RESTful endpoints and/or SOAP) - Excellent working knowledge of relational databases, MySQL, Oracle etc. - Experience with Complex Data Parsing (Big Data Parser) a must. Should have worked on XML, JSON and other custom Complex Data Parsing formats - Knowledge of High-Speed Data Ingestion, Real-Time Data Collection and Streaming is a plus - Bachelor’s in computer science or related educational background - 3-5 years of solid experience in Big Data technologies a must


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