Job Description | Details |
---|---|
Company Name | Noventiq |
Post Name | Data Engineer |
Employment Type | Full time |
Job Location | Mumbai, India |
Expected CTC | 4 LPA |
Vacancy | Not specified |
Starting Date of Online Application | Not specified |
Last Date of Online Application | Not specified |
Description For Noventiq Recruitment Drive:
Why Noventiq? Do you want to contribute directly to successful business outcomes by driving digital transformation for its customers’ businesses, connecting 75k organizations forward in a secure way? Are you motivated to evolve the global best practices within all sectors with hundreds of best-in-class IT vendors, alongside its services and solutions?
Noventiq is a leading global solutions and services provider.
- Founded in 1993
- Headquartered in London, UK
- Revenue of $1.6 billion
- Headcount of 6400
- Partnering with Microsoft, IBM, Oracle, Google, AWS and up to 500 other vendors
- Operating in roughly 60 countries
- Preparing to be listed on the Nasdaq (previously listed at London Stock Exchange until July 2023)
What’s in it for you?
Here you will collaborate with multi-national teams, work on innovative projects, and have opportunities for continuous learning and growth. You’ll play a crucial role in expanding Noventiq’s presence in new markets.
Your Impact on the Mission:
As a Data Engineer at Noventiq, you will work with Business Users, Data Architects, and Business Analysts to deliver end-to-end solutions for global Microsoft business operations. You’ll build internal analytical tools, support operations exceeding $1B, and enable thousands of users to make informed business decisions.
Responsibilities:
- Build systems to collect, manage, and convert raw data into usable information.
- Utilize Microsoft Azure Fabric to create data infrastructure and update systems.
- Develop reliable, automated data pipelines ensuring secure and efficient data flows.
- Ensure data cleanliness, accuracy, and usability.
- Work with modern data technologies including Microsoft Fabric, Databricks, etc.
- Communicate effectively with business users and analysts.
What You’ll Bring to The Table:
- 2-3 years minimum experience in Data Engineer roles.
- Strong SQL knowledge and experience with relational databases.
- Experience with Azure Fabric (Data Factory, Synapse Data Engineering, Synapse Data Warehouse) and other Azure Data Platform technologies.
- Understanding of the Microsoft BI stack.
- Proficiency in Python.
- Experience with various data sources and interfaces, including REST APIs.
- Ability to collaborate effectively across teams.
- Strong debugging, testing, and problem-solving skills.
How to apply:
If you’d like to apply, please click on the button or send an email with your CV attached to the TA Team. For an informal chat before applying, contact TA directly on LinkedIn or via email.
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