Create and maintain optimal data pipeline architecture,
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, NoSQL or other Time Series data technologies.
Build analytics tools and containers that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Keep our data separated and secure across national boundaries through multiple data centers and on premise deployment.
Create data and ML sandbox for analytics and data sci
Requirements: B.Sc. in Computer Science / Information Systems/ ElectricalEng. (Signal Processing)
At least 3+ years of experience as data Eng. with Time Series and IoT, preferably from industrial,robotics and sensors industries.
Knowledge of SQL / NoSQL and BigData Tools A must (e.g Hadoop, Spark, Kafka, etc.)
Knowledge of Python A must.
Other high-level programming languages - An advantage ( C ++, Scala,etc..)
Knowledge of Docker / Kubernetes can be an advantage.
This position is open to all candidates.
