Communicate with stakeholders at all stages of the project cycle to understand requirements and explain limitations.
Structure and design the data landscape of the organization.
Look further on the following topics:
Data availability: Connecting, moving, and generating datasets for consumption.
Transformation: Feature creation, data cleansing, re-expression.
Visualization: Exploratory data analysis, intuitive presentation of findings.
Dashboarding: Guiding the deliverable consumption platforms and visuals.
Integration: Linking the data workflow with client production systems.
Work with Project Managers, Data Engineers, and Solution Architects to execute tasks/projects.
Core Skills:
5+ yrs. of exp in similar role.
Experience in designing and deploying highly scalable cloud-based solutions (client service delivery experience on Azure), including storage, role-based access control, networking, virtual machines, and security compliance.
Experience in designing enterprise data model.
Experience dealing with modern complex privacy and security requirements for storing personal information.
Experience in real-time data and streaming applications.
Experience in developing data ingestion, data processing and analytical pipelines for relational databases, NoSQL and data warehouse solutions
Cloud migration methodologies and processes including tools like Azure Data Factory, Data Migration Service, SSIS, Event Hub, Kafka, etc.
Exp with private and public cloud architectures, pros/cons, and migration considerations.
Extensive hands-on exp implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Data Warehouse, Spark, Hadoop, API, Azure Functions, Synapse, Azure SQL DB, HDInsight, Data bricks, Azure logic app, Mongo DB, Cosmo Db, etc.
Strong scripting and automation experience in Python, Java, React.js is must. Good to have cloud-based technologies, micro services, Bash.
Well versed in DevOps and CI/CD deployments
Exp working with Developer tools such as Azure DevOps, Visual Studio Code, GitLabs, Jenkins, etc.
Modernization of existing application - designing migration from Virtual Machine(s) to containerized (Docker) version and Kubernetes or native cloud.
Requirement:
Knowledge of configuration management tools.
Excellent communication skill in English and open to work mostly during Central European hours.
Proven track record developing data engineering solutions.
Experience of working in Agile delivery.
Proven ability to work creatively and analytically in a problem-solving environment.
Proven ability to work independently.
Microsoft Certified: Microsoft certified Solution Architect / Azure Data Engineer