Data Science Engineer

Summary

As a Data Science Engineer, you will play a key role in preparing the infrastructure and data that will be used to deliver high-quality data products. You will help us design, develop, and maintain data pipelines to deliver insights. By using a DevOps approach, you will make sure the overall system is running at all times by automating tasks so you can spend time on creating and not deploying. You will also make sure the system is appropriately tested and monitored by using adapted methods and tools. You will collaborate with the other data engineers and data scientists of the Advanced Analytics team to create the simplest possible effective data landscape to improve the delivery speed of future AI use cases.

We are looking for two Data Science Engineers. 

 

Key Responsibilities:

 - Execute ETL (extract/transform/load) processes from complex and/or large data sets

- Collaborate with machine learning engineers for the implementation, deployment, scheduling and monitoring of AI solutions

- Ensure robust CI/CD processes are in place

- Promote DevOps best practices in the team

- Simplify & optimize existing pipelines if needed

- Conceive and build data architectures to support data scientists

- Participate to the architecture and planning of the big data platform to optimize the ecosystem’s performances 

- Provide support for AI models in production & ensure operational excellence

- Include security best practices by design & reinforce our defenses
 

Degree & Experience Requirements:

 - Master's degree in computer science, engineering, or related field.

- 3+ years of experience in data engineering or related roles

- Must have: Experience with AWS cloud services and tools and with Databricks for end-to-end AI projects

- Fluent in English language

 

Technical skills Requirements:

 

- Proficient in Python

- Strong Experience with AWS and Databricks

- Experience with on premise Linux systems

- Data pipeline management (sqoop, hive, nifi)

- Cluster management (Cloudera)

- Workflow management (Oozie, Airflow)

- Database management of SQL and NoSQL databases

- Large file storage (HDFS, Data Lake, S3, Blob storage,..)

- Data science environment setup (conda, jupyter)

- Strong knowledge & experience in Spark (Scala and Pyspark)

- Strong knowledge of CI/CD concepts

- Strong knowledge of SQL (Teradata /Oracle)

- High level understanding of data science concepts

 - Proficient in scala is a plus

- Stream processing such as Kafka, Kinesis, Elasticsearch, grafana, nginx is a plus

 

Attitudes/Behavior Requirements:

- You’re quality oriented

- You are an excellent problem analyser and solver

- You’re open minded, collaborative, team player, ready to adapt to the changing needs

- You are curious about new techniques and tools, eagerness to always keep learning

- You are convinced having a good infrastructure is essential & you can motivate and drive changes if needed

- You’re committed to deliver, pragmatic and solution oriented.

 

 

We are offering:

• Good compensation - Competitive € salary plus benefits package. 
• Development opportunities. 
• Challenging but also a friendly working environment. 
• And much, much more... 

About Telesign: 

Telesign connects and protects online experiences with sophisticated customer identity and engagement solutions. Through APIs that deliver user verification, data insights, and communications we solve today’s unique customer challenges by bridging businesses to the complex world of global telecommunications. 

Telesign is proud to be an equal opportunity employer. We believe our differences help us create a better workplace, a better product, and a better community. We do not discriminate on the basis of race, color, ancestry, religion, national origin, marital status, pregnancy, sex, sexual orientation, gender, gender identity or expression, age, genetic information, disability, military or veteran status, or any other basis protected by federal, state or local law, ordinance or regulation. 

Telesign is an Affirmative Action Employer and as part of the commitment to AAP, it will seek to ensure affirmative action to provide equality of opportunity in all aspects of employment, and that all personnel activities, such as the recruitment selection, training, compensation, benefits, discipline, promotion, transfer, layoff and termination processes remain free of illegal discrimination and harassment based on protected characteristics.