Job Description:

Excellent Knowledge of Data Analytics and statistical analysis.
Ability to perform EDA and different types of analytics.
Good understanding of machine learning and its concepts.
Broad knowledge in Data Engineering domain, Data streaming, batch processing, EDA and more.
How data generated from different source like IoT devices, cloud & edge computing, wireless connectivity Mobile/Web application etc.
Strive to acquire new skills and knowledge of Cloud technologies aimed to develop IoT solutions.
Good Knowledge of Data Analytics services on AWS, Azure or Google Cloud Services.
Have a good implementation knowledge on Amazon S3, AWS Glue, Athena, Lambda, API Gateway, DynamoDB, Quick Sight, Redshift.
Coding knowledge in one or more scripting languages e.g., Java, Python, NodeJS, bash, Android, PowerShell etc.
Work rigorously towards achieving respective Cloud Certification.
Ability to do independently develop Proof of Concept (POC).
Take ownership for internal/external projects.

Requirements:

Min 1-5 yrs of hands on experience in Data Analytics and Data Engineering domain is required
1+ experience/relevant certification in cloud platform like AWS, GCP and Azure is preferred.
Have previous build end to end data lake, data warehousing or equivalent solution is preferred.
Knowledge of REST framework is preferred.
Understanding of SQL and NoSQL Database like MongoDB, PostgreSQL.
Good knowledge of Networking.
Ability to write clean code in Python, NodeJS, Java etc.

Key Personal Attributes:

A strong 'stage presence' and ability to manage client interactions, requirement gathering discussions, etc.
Ability to work independently with minimal direction providing technical and non-technical support to multiple users.
Proficient in technology consulting, training and development.
A strong people motivator with prominent levels of energy.
Proactiveness - Be proactive in understanding the needs of our customers/clients.
Relentless learner and the passion to pick up recent technologies.