Data Engineer

hace 3 semanas

Guadalajara, México amuntalent A tiempo completo

**Descripción**:**Data Engineer****Responsibilities**:- Facilitator of data storage, assisting the integration, summarization, and transformation of data to make it easier to analyze for business intelligence.- Creating, designing and developing data models.- Work with product and engineering teams to understand requirements, evaluate new features and architecture to help drive decisions.- Perform detailed analysis of business problems and technical environments and use this in designing quality technical solution.- Design and implement innovative analytical solution using Hadoop, NoSQL, and other Big Data related technologies, evaluating new features and architecture in Cloud/ on premise/ Hybrid solutions.- Create and populate data lakes and a data warehouse to facilitate data analysis and data science projects.- Prepare plans for all ETL (Extract/Transformation/Load) procedures and architectures.- Evaluate and implement dynamic, interactive, and static visualizations of data.- Actively participate in code review and test solutions to ensure it meets best practice specifications.- Write project documentation.**Skills**:- 3+ Experience involved in data Integration projects, data lakes and warehousing design, implementing, managing and monitoring.- 3+ Experience with multidimensional analysis, cubes, OLAP, denormalization, definition of dimensions, measures, fact tables, etc.- 3+ Experience using data warehouse management services ( Azure Synapse Analytics, AWS Redshift or Big Query).- 3+ Experience with data ingestion, data streaming and streams processing services (Stream Analytics, Data Lake Store, Event Hubs, Kinesis Data Streams).- 3+ Experience with platforms and tools for creating ETL jobs and orchestration of data workflows services (Data Factory, Data Catalog, Data Pipeline, AWS Glue or Cloud Composer).- 3+ Experience with the Azure data ecosystem (Blob Storage, Data Catalog, Azure Data Lake, Functions, Azure Queue Storage, AVM, SQL Database, Databricks, Virtual Network, AKS, etc).- 3+ Experience with secure cloud data lakes, considering aspects such as Isolation, platform hardening, network perimeter, host security, authorization, encryption, vulnerability management, compliance & incident response, data loss prevention, etc.- 2+ Experience using Big Data tools (Hive, Hadoop, EMR, Spark, etc).- 2+ Experience with Python and data-related libraries (e.g., pandas, numpy).- Strong experience in SQL, NoSQL databases and data structure algorithms (Sort, Search, List, etc).- Strong experience using source control management and CI/CD.**Nice to have Microsoft Certified: Data Analyst Associate (DA-100), AWS Certified Data Analytics - Specialty (DAS-C01) or equivalent.****Requisitos**:

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