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Our client is a fast-growing automation-led next-generation service provider delivering excellence in IT, BPO, and consulting services.
They are driven by a combination of robust strategies, passionate teams, and a global culture rooted in innovation and automation.Our client?s Digital offerings have helped clients achieve operational excellence and customer delight.
Their focus lies on taking a leadership position in helping clients attain customer intimacy as their competitive advantage.
They are now on a journey of metamorphosing the experiences of the customer?s customers by leveraging our industry-leading delivery and execution model, built around the strategy?
Automate Everything?, Cloudify Everything?,
Transform Customer Experiences?.Powering our client?s complex technology solutions and services is the Bottom-Up Disruption, a disruptive crowdsourcing initiative that brings about innovation and improvement to everyday complexities and, ultimately, growing the client?s business.
The digitally empowered workforce of our client represents various nationalities, comprising 19,833 employees, and lives the company?s philosophy of ?customer success, first and always?.
The company reported a 2020 global revenue of USD $845.04 Mn.We are currently searching for a Data Integration Engineer: ResponsibilitiesDevelop, design, tune and maintain SSIS packages to perform the ETL process.Design and develop SQL Server stored procedures, functions, views and triggers to be used during the ETL process.Write scripts for automated testing of data in the target factsand dimensions.Capture audit information during all phases of the ETL process.Write and maintain documentation of the ETL processes via process flow diagrams.Collaborate with business users,
support team members, and other developers throughout the organization to help everyone understand issues that affect the data warehouse.Requirements4+ years Importante empresa in developing large scale data pipelines in a cloud/On-prem environment.Highly Proficient in any or more of market leading ETL tools like Informatica, DataStage, SSIS, Talend, etc.,Fundamental knowledge in Data warehouse/Data Mart architecture and modelling.Define and develop data ingest, validation, and transform pipelines.Fundamental knowledge of distributed data processing and storage.Fundamental knowledge of working with structured, unstructured, and semi structured data.For cloud data engineer, Importante empresa with ETL/ELT patterns,
preferably using Azure Data Factory and Databricks jobs.Technical Importante empresa in programming in Python, R and statistical packages (R, SAS).BE/Btech in Computer Science, Engineering or relevant field.LanguagesAdvanced Oral English.Native Spanish.Note:Fully remote
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.