Big Data Engineer (Google Gloud Specialist)
Athens, Greece
Satori is an Analytics Agency made with one simple vision: to give clarity in decision making through data analytics.
Whether it’s a cloud-based big data ecosystem for a global fintech or a machine learning model predicting churn for a leading airline group, Satori develops cutting edge analytics solutions, providing real value to its clients. Services cover the whole data lifecycle from ingestion and warehousing to ML and AI applications.
Satori is a scale-up, well on track to become the leading data and analytics company in South-Eastern Europe and already a team of a 50+ specialized tech team consisting of Data Scientists, Software Engineers, QAs, and CRM Specialists, delivering innovative data, tech, and customer experience solutions. The majority of our clients are household names and global brands in FMCG, retail, ecommerce, financial services, and travel, with a footprint in Greece but also across Europe and beyond.
We are currently looking for a Data Engineer with significant exposure in the GCP environment to work exclusively with one of our top clients, one of the largest and most well-respected Telco companies in the country.
What’s your day-to-day
You will be working in a vibrant, fast-paced environment, so you can never expect to have just another typical day at work. Sometimes you will feel out of your comfort zone, but you will probably never feel bored.
On any particular day you will be doing several of the following:
- Work closely with Product Owner, Solution Architect, and Engineers to design new flows and migrate the existing ones to GCP.
- Perform analysis, design, and implementation of modern data warehouse structures in GCP to meet clients’ requirements and expectations.
- Work closely with ETL Engineers to ensure smooth data feed from different sources to GCP.
- Design, build, test and deploy advanced ETL flows to transform and transfer enterprise data to cloud.
- Migrate already in-place procedures and flows from database/systems (e.g. Data Warehouse) to GCP.
- Work closely with the Product Owner and Business Stakeholders to understand business objectives
- Review requirements, specifications, business processes and recommendation documents with clear project deliverables and timelines in order to ensure business continuity.
Requirements
Your professional expertise
In order to be successful for the role would have:
- A university degree or master’s degree in Information Technology, Computer Science or another relative discipline
- 3+ years of working experience in Data Warehouse projects (Strong data warehouse understanding), at least 1 of which in the Google Cloud Platform (GCP)
- Knowledge / experience of large/medium scale migration to GCP.
- Hands on experience in migrating on premise ETLs to GCP using tools such as Pub/Sub, Cloud Data Proc.
- Experience on Ni-FI pipelines & Ctrl-m jobs
- Excellent working knowledge on Big Data pipelines
- Experience in Design and Architecture of solutions on GCP
- Good knowledge of Data Structures, Data Marts, Data warehousing using Cloud technologies (GCP preferably)
- Knowledge of best practices around indexing and query performance.
- Business analysis and requirements gathering.
- Fluent English, spoken and written.
It will be considered a strong plus if you have:
- Experience in:
- Big Data pipelines
- Other Cloud Technologies ( AWS, Azure, etc.)
- ETL tools (SSIS, Azure Data Factory, AWS Glue, AWS Data Pipeline etc.)
- Exposure to:
- the Telco industry
- Marketing automation platforms such as Pega, Unica, or Salesforce
- Agile methodologies (Scrum, Kanban, etc.)
You’ll thrive in this role if you are a doer who enjoys getting your hands dirty; a go-getter who is the driving force pushing projects forward.
You have a positive attitude; you care not only about your job but for the team.
You proactively communicate with the team because you understand that communication is key to effective collaboration. Everyone wants to work with you!
Benefits
Our most important perk is offering you an energy-laden workplace, serving a big-brand client working with some of the market’s top talent, and an opportunity to see your work affecting big real-life business decisions.
Apart from that, here are some highlights:
- Opportunity to work as part of a leading brand in Greece and internationally
- Competitive salary based on experience
- Hybrid working conditions
- Private Insurance
- A great and fast laptop to do your magic
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Azure Big Data Computer Science Data Analytics Data pipelines Data warehouse Data Warehousing E-commerce ETL FinTech GCP Google Cloud Kanban Machine Learning Pipelines Scrum SSIS
Perks/benefits: Career development Competitive pay Gear
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