Lead Azure Data Engineer
1 week ago
About Quantzig:
Quantzig is a global analytics and advisory firm with offices in the US, UK, Canada, China, and India.
we have assisted our clients across the globe with end-to-end advanced analytics, visual storyboarding , Machine Learning and data engineering solutions implementation for prudent decision making.
We are a rapidly growing organization that is built and operated by high-performance championsIf you have what it takes to be the champion with business and functional skills to take ownership of an entire project end-to-end, help build a team with great work ethic and a drive to learn, you are the one we're looking for.
The clients love us for our solutioning capability, our enthusiasm and we expect you to be a part of our growth story.
Find out more about the company :
do we look for?Designation:
Lead Azure DEExperience: 7+ Years
Notice Period:
Immediate to 30 daysTechnical traits:
- Should have at least 7+ years of experience in implementing project management of technology initiatives in FMCG / consumer goods industry preferably
- SQL server (Design, Modelling, Architecture, security and backup, compute and storage management),Azure Data Architecture ( Azure Synapse Analytics , Azure SQL Server, ADLS etc.)
- Python, Azure Event Hub, Kafka , Kubernetes, Database Change Management ( DevOps tech.), Previous experience with cloud migration
- Be a consultant to our clients. Think out-of-the-box and develop cloud solutions which help clients in solving their business problems.
- Tremendous passion towards learning and making an impact is a must. You must be able to merge the technical expertise with consulting skills to solve some of the challenging platform engineering problems.
- Drive and energy to work hard with great sense of ownership to achieve success in an entrepreneurial environment.
- Should have hands-on experience in designing data warehousing / cloud solutions projects across multiple industries and analytics areas (e.g., Supply chain analytics, Marketing Analytics, Customer Analytics, Digital Analytics, Pricing Analytics etc.)
- Deep understanding of big data sources such as digital feeds, ERP systems, planning solutions, 3P data sources in the FMCG, CPG domain is an add-on. Previous experience in designing cloud solutions for analytics consumptions is highly preferred.
- Strong presentation and stakeholder management skills
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