Data Engineer - GCP

EPAM NEORIS is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world. We have more than 4,000 professionals in 11 countries, with our multicultural startup culture where we cultivate innovation, continuous learning to create high-value solutions for our clients. We are looking for a Data Engineer - GCP Requirements: Data Ingestion + 3 years SQL (ETL, Complex Database Scripting) Data Extraction from various sources (Files, Plans, Excel, MS SQL / Oracle / Snowflake / Hana / SAP ECC / ERPs) (Structured Data / Unstructured Data) (At least 3 different types) Desirable: Spark (ETLS, Distributed Systems for High Data Volumes) Data Integration & Transformation (Data Pipelines) (Automated ETL Process) + 3 years Python (ETLs, Pipelines) for Machine Learning Experience in data preparation for Data Science teams, from the review of Sources, their Cleaning, Integration and Data Transformation. Tagging Data Sets (Data Annotation Toolset) GCP Experience in Transformations for Model Types (Supervised (Labels delivered) / Unsupervised (model finds patterns)) Experience creating data ingestion processes to models, to generate predictions. 2 years Data Cleansing Data Wrangling Data Cleansing Data Quality Cloud computing · + 2 years GCP · API Management, Azure Pipelines, Log Analytics, Azure Functions, Databricks, Storage – SQL Azure / CosmosDB / Table Storage / Blob Storage) GIT: GitHub, BitBucket. CI/CD, Jenkins, Azure Pipelines, Airflow. Bigdata Spark, Hadoop, among others NoSQL (Mongo, Cosmos) We offer: Professional growth Dynamic work environment Attractive benefits plan Benefits of law and superiors Come and meet us on: http://www.neoris.com, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS. Brenda Catzin #LI-BC2 Offices: (Global Sourcing, Colombia);