Associate Consultant

Easydo is an independent European company, spinoff of a Top player in IT&C services in Romania.
The team is managed by Senior partners and senior experts. We are building the next generation of applications including API, Data Governance, AI, machine learning, IoT, AR, VR.
We help companies in curve of digital adoption and automation, delivering connected services and solutions that allows to improve business and environment.
Our business practices focus on:
- Software Factory & Innovative Business Solutions
- Cybersecurity solutions and services
- Interoperability Solutions: Interoperability Solutions: API Management, Integration Solutions B2Bi, Managed File Transfer ( Partner solutions: Axway, APIGEE, WSO2).
Our fundamental values are respect, fairness, ethics, openness and teamwork.

KeyPaas is an IoT Platform that enables fast and scalable connection of things to the Internet with multiple protocols, encryptions and payloads.

We are looking for candidates who have demonstrated both client servicing and data engineering skills.
• 7-12 years of experience in data warehousing, data lake, cloud data computing, big data tech stack, data management, data governance, data modeling, data strategy & business intelligence
• 3+ years of hands-on working experience in Google Cloud Platform (Big Query, Data Proc, Data Flow, Cloud Composer, Cloud Storage, etc)
• Experience of working in pre-sales and creating roadmap for customers on data engineering and data architecture tech space
• Avid reader and tech enthusiast in the data engineering and business intelligence space
• Well versed in proposing data architectures (data mesh, data vault, dimensional model, etc) based on the client requirements
• Hands-on experience in working with at-least one major cloud provider (GCP, AWS, Azure, Snowflake, etc)
• Experience of managing complex engagements & engaging with customers face to face
Good-to-have Skills

• Experience in implementing Data Governance, MDM in complex environment
• Certified in CDMP - DAMA DMBOK (Optional)
• Experience in creating reports, dashboards and do story boarding using latest visualization tools like Power BI, Tableau, Looker, etc
• Graduate / Post-graduate in Statistics / Economics / Mathematics / Computer Science / Operation research / Engineering from a reputed university
• 7-12 years of experience in data engineering – with extensive experience across functions such as Supply Chain, Retail, Marketing, etc

• Hand-on experience in handling big data, familiar with at least one/various big data platform (including cloud platform)
• Experience and expertise in designing technology roadmap based on the requirements ensuring budget & timeline effectiveness
• Supporting the management team in business development initiatives – expanding solutions portfolio and offerings in data engineering and BI technology space
• Manage projects/client discussions, at a time, from inception to delivery and collaborate with teams in a matrix structure

Compensation
To be decided on a case-by-case basis, pegged with the best in the industry