Data Engineer

Senior Data EngineerSenior Data Engineer - What You Will Do:Assist in building a world-class Big Data platform which will give us power to process streams of data, as well as, enable machine learning and advanced analytics capabilities. Everything cloud-based for scalability and speed to market.Handle large volumes of data and integrate our platform with a range of internal and external systems.Understand new tech and how it can be applied to data management.Work with an agile team alongside business, testers, architects and project managers.Focus on the development of complex logic integrationsMaintain and evaluate quality of documentation, code, and business logic and non-functional.Keep NFRs as priority by maintaining code, supporting, restoring, monitoring and performance for any delivery*If you join us as a Senior, you will be a mentor to a team, and will need to bring some previous experience of this.What You Need:Design, implement, and extend core data system that enables reporting and data visualizationsManages data integrations within the company's domain technology stackProvide runtime and automation solutions that empower developers to migrate and run workloads in the public cloudResponsible for maintaining and supporting all data workflowsDesign, implement, enhancement and support of CI/CD frameworks, container solutions, runtime environments, and supporting public cloud infrastructureProduce and maintain complex data workflows to meet all the quality requirements of the data management policyDesign, and documents database architectureResponsible for creating and maintaining operational data storeResponsible for ingestion and extraction of data using MDM tools like Informatica, Amperity, etc.Expertise in Data Warehousing and familiarity with cloud offerings for warehouses.Creates and maintains diagnoses, alerting, and monitoring code.Builds database schemas, tables, procedures, and permissionsDevelops database utilities and automated reportingPrepares written materials for the purpose of documenting activities, providing written reference, and/or conveying informationFull-stack design, development, deployment, and operation of core data stack including data lake, data warehouse, and data pipelinesExperience building data flow for data acquisition, aggregation, and modeling, using both batch and steaming paradigmsExperience working public cloud provider (AWS, GCP, Azure)Experience building and managing CI/CD pipelinesHave created and managed Kubernetes clusters in different types of environmentsFamiliarity with access controls, secrets management, monitoring, and service discovery in Kubernetes clustersExperience working with containerized workflows, applications, and drive container adoption among developers and teamsExperience building ingestion, ETL data pipelines, especially via code-oriented systems like Spark, Airflow, Luigi, or similar, and with varied data formatsExperience operating in a secure networking environment (e.g. behind a corporate proxy) is a plusExpertise in data engineering languages such as Python, Java, Scala, SQLFamiliarity with visualizing data with Power BI, Tableau, and similar toolsExperience creating business requirements documents and/or other application systems related documents