Data Engineer

Numadic Iot Pvt. Ltd.

1 - 4 Years
2 Openings
Not Disclosed
Panaji/Panjim
Face-to-Face interview

Key Skills

Python SQL Data Structures SAS-Statistical Analysis System ETL Hadoop DATA ENGINEER Azure JSON XML Scala Spark Github DevOps Data Miration Work From Home

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Job Description

About the role:

1. Apply advanced predictive modeling and statistical techniques to design, build, maintain, and improve upon multiple real-time decision systems.

2. Visualize and show complex data-sets via multidimensional visualization tools.

3. Perform data cleansing, transformation & feature engineering.

4. Design scalable automated data mining, modelling and validation processes.

5. Produce scalable, reusable, efficient feature code to be implemented on clusters and standalone data servers.

6. Contribute to the development/ deployment of machine learning algorithms, operational research, semantic analysis, and statistical methods for finding structure in large data sets.

Role requirements:

1. An absolute minimum of 1-3 years of relevant data science experience.

2. Have an Engineering or comparable math / physics degree.

3. Knowledge & working proficiency in Excel, Python, R

4. Expert proficiency in at least 2 structured programming languages.

5. Deep understanding about statistical and analytical models.

6. Bias for action - Ability to move quickly while taking time out to review the details.

7. Clear communicator - Ability to synthesise and clearly articulate complex information, highlighting key takeaways and actionable insights.

8. Team player - Working mostly autonomously, yet being a team player keeping your crews looped-in.

9. Mindset - Ability to take responsibility for your life and that of your people and projects.

10. Mindfulness - Ability to maintain practices that keep you grounded.

Numadic operates at the intersection of finance and logistics.

From number one rated mobile apps to industry leading approaches to API finance and transactions, our team does what it takes to simplify movement of goods and people. But what matters even more, is that our customers love the way we do what we do and our end users have uncluttered and uncomplicated experiences.