Job Location: Mumbai
- 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 a 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 include 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, and React.js is a must. Good to have cloud-based technologies, microservices, and Bash.
- Well versed in DevOps and CI/CD deployments
- Exp working with Developer tools such as Azure DevOps, Visual Studio Code, GitLab, 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 skills 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
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