Data Engineer - OTT

Who we are:

Irdeto is the world leader in digital platform cybersecurity, empowering businesses to innovate for a secure, connected future. Building on over 50 years of expertise in security, Irdeto’s services and solutions protect revenue, enable growth and fight cybercrime in video entertainment, video games, and connected industries including transport, health and infrastructure. Irdeto is the security partner dedicated to empowering a secure world where people can connect with confidence. 
 
With teams and offices around the world, Irdeto’s greatest asset is its people - our diversity is celebrated through an inclusive workplace, where everyone has an equal opportunity to drive innovation and contribute to Irdeto's success. 

Job Title: Data Engineer 

About role:

As a Data Engineer will be responsible for designing, building and managing the infrastructure that supporting several of Video Entertainments projects. You will play a major role in developing cloud-based architecture to analyse and process data according to the needs of Irdeto’s portfolio of products and services, as well as innovation projects. You will work closely with multiple teams that will include software engineers, data scientists, product managers and architects to achieve this.  

This team independently builds data for our rapidly growing OTT segment. We are using daily but not limiting ourself to: AWS, EMR, Kafka, Spark, Athena, API Gateway, Lambda, Tableu. 

Your mission at Irdeto: 

• Work closely with business and product leaders, developers, architects, analysts and researchers oninnovation and early stage product development across the company. 

• Create and maintain an optimal data pipeline architecture, reports and analytics based on business requirements. 

• Build APIs to expose data to external systems. 

• Assemble large, complex data sets that meet functional/non-functional business requirements. 

• Deploy models in production, as well as maintain a continuous integration pipeline, including monitoringand optimization of the system’s performance and cost. 

How you can add value to the team? 

• BSc or MSc in Computer Science, Applied Mathematics, or similar fields. 

• 2+ years of professional experience in a Data Engineering role. 

• Experience in handling big data pipelines, data warehouses and distributed data stores, preferably in cloud (AWS, Azure, GCP). 

• Experience with Apache Spark (streaming and batch processing applications). 

• Proficient knowledge of Python. 

• Experience in Microservice architecture and building APIs. 

• Strong SQL skills. Ability to parse and fetch information out of structured and semi-structured data. 

• Ability to work with SQL & NoSQL databases such as AWS RDS, DynamoDB etc. 

• Experience working with one or more business intelligence or data visualization platforms (i.e., Tableau, PowerBI etc.). 

• Good understanding of Data security (at rest and in motion) and Data-Governance. 

• Strong passion about new technologies; Ability to develop quick POCs and integrate into existing/new applications. 

• Experience in troubleshooting, debugging sophisticated systems and possess excellent problem-solving techniques. 

• Working experience with Elastic-Search and Kafka clusters is a plus. 

• Experience in JVM languages (Java/Scala) and scripting languages (Java-script) is a plus. 

• Experience with JavaScript and React.JS is a plus. 

• Experience with AWS (or equivalent) tools like Glue, Kinesis, S3, Lambda, Athena, etc. is a plus. 

What you can expect from us: 

Our people and culture are the heart of our business, and our values of Trust, Accountability, Agility and Innovation inform what we do, and how we work. We believe in investing in our talented employees and promote collaboration, creativity and innovation, health and well-being across our global workforce. 
  
In addition to competitive remuneration and extensive benefits we offer: 

• An international and multicultural environment where diversity and inclusivity are celebrated and embraced  
• Professional educational opportunities and training program 
• Innovation sabbatical 
• Volunteer Day 
• State of the art office space 
• On the job coaching and mentoring 
• Flexible work arrangements – via our Work Hard Anywhere policy. 
• Some of us run city marathons and even go on snowboarding trips together! 
• Casual Friday? Casual every day! 
•  US$ 500 net for your home office setup after you passed your trial period
• And many additional perks customized to global locations (canteen, fresh fruit, amazing coffee, parking, on-site gym, yoga room to name a few) 

Irdeto encourages applications from people with disabilities, as we provide accommodation on request of the candidates that take part in all aspects of the selection processes.

Welcome to Irdeto!

Irdeto is proud to be an equal opportunity employer.