Senior Big Data Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.

We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.

With us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.

Role purpose:

Digital transformation is a journey not a one off-event. It needs to be nurtured and grown by talented people who experiment, fail fast and innovate at pace. Here at Vodafone, we are delivering technology that will enable us to be one of the best in unified communications. We provide unbeatable Technology and IT solutions that empower our customers to be confidently connected.

Being part of Dynamo team, the Senior Big Data engineer will design, implement, and maintain data pipelines in Google Cloud Platform. The role is accountable to work closely with Product Owner to understand business needs and objectives as well as with BI Engineer to ensure the smooth data feed from Dynamo Platform to GCP and afterwards to Digital & Pega Destinations.

Key accountabilities and decision ownership:

• Work closely with Product Owner, Solution Architect and Engineers to develop new flows in Dynamo platform and migrate the existing on premises infrastructure to GCP.
• Review appropriate architecture and other technical solutions and make recommendations to Business.
• Review requirements, specifications, business processes and recommendation documents with clear project deliverables and timelines in order to ensure timely completion of deliverables.
• Promote cooperation and commitment within the team to achieve goals and deliverables.
• Support & mentor other Big Data Engineers, by highly participating in code reviews and giving valuable feedback.
• Own the creation & implementation of the deployment kit and respective documentation.
• Responsible for all test & development environments required for project delivery.
• Hold a crucial role in strengthening knowledge sharing in the VF Greece Big Data community.

Core competencies, experience and knowledge:

• At least 3-4 years of experience in a similar position, designing and developing infrastructure for large/medium scale migration efforts to GCP or other cloud platforms (i.e. Azzure).
• Hands on experience in migrating on premise ETLs to Google Cloud Platform (GCP) using tools such as Pub/Sub,C loud Data Proc, Google Cloud Storage, Cloud Functions, Big Query.
• Solid experience of Data streaming technologies (Kafka, Spark Streaming).
• Knowledge of PySpark, Java and/or Scala.
• Common SDLC, including SCM, build tools, unit, integration, functional and performance testing from automation perspective, TDD/BDD, CI and continuous delivery, under agile practices, and distributed teams.
• Profound knowledge of Data Infrastructure and Database Systems (RDBMS/NoSQL).
• Experience in enterprise transformation projects will be highly appreciated
• Professional Certifications in GCP or minimum 2 years of cloud experience will be an advantage

Behaviours and Other competencies:

• Promoter of cooperation and commitment within a team to achieve goals and deliverables.
• Experience working with Agile methodologies / in Agile teams is strongly preferred.
• Excellent analytical and problem- solving skills.
• Self-motivated with strong time management skills.
• Excellent written and verbal communication skills, in both Greek & English.

What's in it for you:

• Hybrid way of Working
• Private Health & Medical Insurance
• Competitive salary
• Extra days-off: We love mothers – 4 months extra paid off-period! 
• Gym, Sports, Excursion weekends & Special events
• Restaurant, entertainment areas, hairdresser, etc.
• Needless to say, we cater for your communication wherever you are
• Come as you are. We love when people feel they can be themselves at work