Systems - Data Architect - Data Visualization

1 week ago

India Computronics Full time

Position Title : Data Architect

Required Experience : 10+ years

Job Location : Timings/Shift : 11:30 PM - 8:30 PM

Job Duration : Full Time

Job Description :

Job Summary/Roles & Responsibilities :

- We are actively looking for a highly competent Data Architect to support our team. In this role, you will play a crucial part in designing and optimizing conceptual and logical database models.

- Your responsibilities will include analyzing system requirements, implementing data migration strategies, and ensuring the efficient and secure storage of company information.

- Proficiency in SQL and NoSQL Databases (SQL Server, Oracle, MongoDB) is essential, and experience with data visualization tools such as QlikSense is mandatory.

This is an exceptional opportunity to contribute to the development of our data architecture and make a significant -impact on the success of organization.

Develop database solutions to store and retrieve company information

- Install and configure information systems to ensure functionality

- Analyze structural requirements for new software and applications

- Migrate data from legacy systems to new solutions

- Design conceptual and logical data models and flowcharts

- Improve system performance by conducting tests, troubleshooting and integrating new elements

- Optimize new and current database systems

- Define security and backup procedures

Mandatory Skills :

- Data Architect with 10+ years of experience.

- Proven work experience as a Data Architect or similar role

- In-depth understanding of database structure principles

- Experience gathering and analyzing system requirements

- Knowledge of data mining and segmentation techniques

- Expertise in SQL Databases like MySQL, PostgreSQL, Oracle, Microsoft SQL Server & NoSQL Databases like MongoDB

- Proficiency in MS Excel

- Familiarity with data visualization tool QlikSense

- Proven analytical skills

- Problem-solving attitude

Database Management Systems (DBMS) :

- SQL databases : MySQL, PostgreSQL, Oracle, Microsoft SQL Server.

- NoSQL databases : MongoDB.

Data Modeling :

- Conceptual, logical, and physical data modeling.

ETL (Extract, Transform, Load) Processes :

ETL tools : Informatica, , Apache Nifi,

Cloud Platforms :

- Amazon Web Services (AWS) : Redshift, RDS, S3, Glue.

Data Warehousing :

Tools and technologies : Snowflake, Amazon Redshift,

Data Governance and Quality :

Data governance frameworks and tools

- Master data management (MDM) concepts and tools.

Programming and Scripting :

Languages : SQL, Python, Scala.

Business Intelligence (BI) and Analytics :

- BI tools : QlikSense.

- Understanding of analytics platforms and tools.

Data Security and Compliance :

- Data encryption, masking, and anonymization techniques.

- Knowledge of GDPR, CCPA, HIPAA regulations.

Metadata Management :

- Tools and practices for managing metadata.

Machine Learning and AI :

- Basic understanding of machine learning concepts.

- Familiarity with tools and frameworks: TensorFlow, scikit-learn.

Project Management :

- Agile methodologies, SCRUM, and project management tools like JIRA, Trello.

Soft Skills :

- Strong analytical and problem-solving skills.

- Excellent communication and collaboration skills.

Ability to translate business requirements into technical solutions

Education & Certifications : BE/ BTech / MCA

)

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