Job Description Azure Lead
Location : Hyderabad, Indore
Duration : Full time
kindly revert with your resume on sr***************a@te****s.com
Hinduja Global Solutions Ltd., (HGSL) is an Indian listed company and part of Hinduja Group serving fortune 500 companies for the last 40 years. It is a Digital Technology BPM company specialising into Consumer Engagement Services in the field of Technology, Telecom, banking, retail operations, Data Analytics and Digital Technology services. The Parent Co holds entities in the USA, Philippines, UK, Canada, South Africa, Colombia and Jamaica through subsidiaries and step-subsidiaries. With more than 18,000 employees spread across 9 countries, our mission is to make our clients more competitive by providing exceptional experience. Powered by peoples first philosophy and experience serving over 1100 of the worlds leading brands, HGS is the perfect place to build your future!
Position Summary:
We are looking for dynamic and result oriented cloud data engineers to join our fast-growing Cloud Analytics practice.
Candidate should be self-starters with a passion for business analytics and Data and use their excellent problem solving and analytical skills along with superb written and oral communication skills to develop solutions that delight our customers.
Keep reading if you have a strong desire to excel and are keen to work on end-to-end cloud analytics projects while further developing your career.
Key Responsibilities:
Education:
Experience & Requirements:
Why choose us?
As an equal opportunity employer, HGS is dedicated to diversity, inclusivity and Equity. HGS does not discriminate on the basis of the race, ethnicity, religion, sex, national origin, age, veteran disability, or genetic information or any other reason prohibited by law in employment. We believe in the power of diversity to create an environment where every individual excels, and our diverse customer and colleague base is deeply understood.
Plus, working with HGS comes with benefits like:

Keyskills: spark MS Fabric Microsoft Azure SQL Python
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