
Azure Data Engineer
3 days ago
Role: Azure DataBricks Developer
Location: Nagpur/Bhubaneshwar/Kolkata
About LTIMindtree: LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by 82,000+ talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale.
For more information, please visit us at Digital Interactive Services - LTIMindtree
Please apply in the below forms link for quicker turn around.
https://forms.office.com/r/eLCEFpiH6z
Role: Azure Databricks Developer
Experience: 5-12 Years
Location: Nagpur/Bhubaneshwar/Indore/Bangalore/Chennai/Kolkata/Coimbatore/Mumbai/Pune/Hyderabad.
Overview: Data Engineer having good experience on Azure Databricks and Pyspark
Must Have: Databricks Python Azure
Good to have: ADF
Requirements
Candidate must be proficient in Databricks
Skills
The Candidate must have 3-12 yrs of experience in databricks delta lake
Hands on experience on Azure
Experience on Python scripting
Relevant experience with ETL methods and with retrieving data from dimensional data models and data warehouses
Strong experience with relational databases and data access methods especially SQL
Knowledge of Azure architecture and design
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
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