Zorba is the new age analytics provider that brings data driven decision to life for its clients. We believe in getting analytics executed on ground with the client team rather than just creating complex machine learning or predictive modelling algorithms. 

We offer services across the spectrum ranging from analytics training and setting up data centres to delivering analytics based strategic consulting solutions. One of the key value adds we do is with the speed at which we deliver solutions.

Headquartered in Mumbai, Zorba was conceived with an objective of creating value for businesses in near future rather than long term. We are experts in leveraging big data, building data driven solutions and operationalizing analytics at each stage of decision making process with following key offerings: 

•	Data Visualization and Dashboard design
•	Predictive Modelling Algorithms
•	Data Management and Transformation
•	Analytics based reporting solutions
•	Marketing and Business Process Optimization

Witnessing the stories of success and failure of numerous businesses at different stages, we came to the conclusion that every business can be successful if improvisation continues relentlessly. 

We want to make this process faster and smarter for our clients in their quest for growth by hand holding through data analytics and strategic leadership for effective decision making. 

You can follow us on :
https://www.quora.com/profile/Yash-Chaudhary-516
https://www.instagram.com/zorbaconsulting/?hl=en
https://twitter.com/ConsultingZorba
https://www.facebook.com/Zorbaconsulting/

Zorba Consulting India

We are looking for a skilled Palantir Foundry Data Engineer with 5+ years of experience in data engineering, data transformation, and analytics solutions.
Mandatory Skills:
<ul>
<li>Strong hands-on experience with Palantir Foundry</li>
<li>Excellent proficiency in PySpark, Python, and SQL</li>
<li>Experience with Spark/Spark SQL and distributed data processing</li>
<li>Strong experience in ETL/ELT, data transformation, data management, and data modeling</li>
<li>Experience designing data solutions for enterprise-scale platforms</li>
<li>Ability to understand business requirements and translate them into scalable technical solutions</li>
<li>Experience working with large-scale data systems</li>
<li>Cloud experience in Azure or AWS is an advantage</li>
<li>Experience with Agile/Scrum methodologies</li>
</ul>
Good to Have:
<ul>
<li>Hive/Hadoop experience</li>
<li>JavaScript/HTML/CSS</li>
<li>Experience with enterprise analytics platforms</li>
</ul>
Education: Bachelor's degree in Computer Science, Data Science, Engineering, or a related discipline.
Key Skills: Palantir Foundry, PySpark, Python, SQL, Spark SQL, Data Engineering, ETL, Data Modeling, Data Transformation, Azure, AWS