DATA ENGINEER

Description

Job Summary: NEORIS is seeking a Data Engineer to analyze requirements, participate in solution design, and develop data products, applying best practices and continuous improvement. Key Highlights: 1. Development and deployment of data products such as ETLs, ELTs, APIs 2. Application of best practices in Development and Clean Code 3. Participation in solution design with high efficiency standards NEORIS is a Digital Accelerator helping companies step into the future, with 20 years of experience as Digital Partners to some of the world’s largest companies. We are over 4,000 professionals across 11 countries, with a multicultural startup culture that fosters innovation and continuous learning to create high-value solutions for our clients. We are looking for a Data Engineer. Key Responsibilities: * Analyze requirements based on provided definitions and designs. * Participate in the Engineering design phase of solutions with high efficiency standards, aligned with the Data Architecture vision. * Develop and deploy data products such as ETLs, ELTs, APIs to make information available, adhering to bank-provided standards and tools, as well as development best practices (e.g., Clean Code) to ensure efficient (in terms of resource consumption and response times), effective, readable, and maintainable solutions over time. * Apply validation strategies to verify correct implementation of functional and non-functional criteria. * Apply continuous improvement processes to products under development. Requirements: * Database management and experience in optimization tasks for: Scripts, Stored Procedures (SPs), and other data processing objects. * Modeling of relational and non-relational databases. * Experience building: Data Warehouse, Data Marts, and Data Lake. * Familiarity with various components and their interactions in Cloud technologies oriented toward Big Data solutions. * Building ETLs, ELTs, and managing information with large volumes of data. * Best practices and development principles such as Clean Code. * Knowledge of Agile frameworks and DataOps strategies. * Testing strategies focused on data, both for functional and non-functional testing. * Training in distributed file systems such as Hadoop, HDFS, or Spark. * Batch processing using Big Data technologies. TOOLS / LANGUAGES * Relational DBs: SQL Server, PostgreSQL, Oracle, etc. * Non-relational DBs: MongoDB, Cassandra, Elasticsearch, Neo4J, etc. * ETL: SQL Server Integration Services (SSIS), Pentaho (Kettle), SAP Data Services, etc. * Cloud: AWS, Google Cloud Platform, and Microsoft Azure. * Cloud Pipelines: STRATIO, MS Azure Data Factory, AWS Glue, DataFlow, etc. * Language and Framework: Python \- Spark\-PySpark We Offer: * Competitive salary. * Prepaid medical insurance. * NEORIS Days (3 days off). * Annual performance bonus. * Vacation bonus. * Corporate tools. * Training and upskilling platforms. * 100% remote work for Colombia. Learn more about us at http://www.neoris.com, Facebook, LinkedIn, Twitter, or Instagram: @NEORIS. Manuel Lunahuana \#LI\-ML2