Pranika Technologies

Pranika Technologies and Consulting Pvt. Ltd. is your trusted partner in delivering cutting-edge IT consulting, seamless cloud migrations, transformative technology solutions.We specialize in Artificial Intelligence ,Generative AI ,Machine Learning, Data Science and DataAnalytics along with providing comprehensive professional training.With the addition of the ISO9001:2015 certification.

Join our community of learners and embark on a transformative journey towards mastering data analysis. Subscribe now and unlock the doors to endless possibilities in the data-driven world!


Pranika Technologies

May the victory of good over evil bring you peace, joy, strength, and endless blessings today.

1 month ago | [YT] | 2

Pranika Technologies

Azure Data Engineering Bootcamp
www.pranikatech.com | +91-9151391112 | info@pranikatech.com | Live Classes



Become a Cloud Data Engineer in just 6–8 weeks!
Learn by building real projects using top Azure tools and technologies.



Course Highlights:
· SQL for Data Extraction & Transformation
· Python for Data Automation & Scripting
· Azure Data Factory – Build and schedule pipelines
· Azure Data Lake – Store and manage large datasets
· Azure Synapse Analytics – Perform big data analysis
· Data Warehousing Concepts – Design scalable storage solutions
. Azure Databricks – Big data & machine learning workflows


Who Should Join?
· Freshers & Students
· Working Professionals
· Anyone switching to Data Engineering



Join Now → www.pranikatech.com
Call/WhatsApp: +91-9151391112
Email: info@pranikatech.com

4 months ago | [YT] | 1

Pranika Technologies

Job Title: Database Developer
Location: Remote (India-based) - Contract Position

Job Summary:
We are seeking a skilled Database Developer with 5-10 years of experience in database development and management. The ideal candidate will have expertise in database design, performance tuning, and working with large-scale databases. This is a remote opportunity for candidates based in India.

Key Responsibilities:
Design, develop, and manage databases, ensuring optimal performance and security.
Architect, develop, and maintain tables, views, procedures, functions, and packages.
Perform complex relational database queries using SQL (AWS RDS for PostgreSQL) and Oracle PL/SQL.
Optimize database performance and conduct proactive monitoring using AWS CloudWatch.
Implement ETL processes using tools like AWS Batch and AWS Glue.
Ensure database security, scalability, and minimal downtime through proactive maintenance.
Work with CI/CD pipelines, Jenkins deployment, and Git repositories.
Utilize Confluence for documentation and SmartDraw for database diagramming.
Apply Python skills for data manipulation, analysis, and transformation using Pandas and NumPy.
Integrate with databases using SQLAlchemy and PyODBC.
Collaborate within Agile/Scrum environments and maintain clear communication.

Must-Have Skills:
Strong experience in database modeling and design.
Expertise in database performance tuning and optimization.
Proficiency in AWS RDS for PostgreSQL and Oracle PL/SQL.
Experience with AWS CloudWatch and Aurora’s scaling and replication capabilities.
Knowledge of CI/CD pipelines, Jenkins, and Git repositories.
Hands-on experience with ETL processes and tools.
Strong Python programming skills with libraries like Pandas, NumPy, SQLAlchemy, and PyODBC.
Experience with database documentation and visualization tools.

Good-to-Have Skills:
Experience with Big Data, data mining, machine learning, and natural language processing.
Exposure to advanced analytics and AI-driven database management.

How to Apply:
Interested candidates can send their resumes to hr@pranikatech.com


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7 months ago | [YT] | 3

Pranika Technologies

Let us remember the golden heritage of our country and feel proud to be a part of India. Happy Republic Day!

9 months ago | [YT] | 4

Pranika Technologies

New Year, New Horizons: Let’s Achieve the Extraordinary!

10 months ago | [YT] | 2

Pranika Technologies

Transforming the Future, One Step at a Time! Let's connect!

11 months ago | [YT] | 2