Computronics Systems

4 weeks 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

(ref:hirist.tech)

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