Senior IT Data Analyst

4 weeks ago

OrrisaGuwahatiBhubaneshwarCuttackPondicherryHosurHubliPatialaLudhianaDubaiQatarAbu Dhabi, India Dotflick Solutions Full time

Role : Senior IT Data Analyst

Job Description :

- 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.

- 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.

- 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

Requirement :

- Knowledge of configuration management tools.

- 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.

(ref:hirist.tech)

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