Azure data engineer

1 day ago

Anantapur, Andhra Pradesh, India LTIMindtree Full time

Role: Azure Data Bricks DeveloperLocation: Nagpur/Bhubaneshwar/KolkataAbout 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. LCEFpi H6zRole: Azure Databricks DeveloperExperience: 5-12 YearsLocation: Nagpur/Bhubaneshwar/Indore/Bangalore/Chennai/Kolkata/Coimbatore/Mumbai/Pune/Hyderabad.Overview: Data Engineer having good experience on Azure Databricks and PysparkMust Have: Databricks Python AzureGood to have: ADFRequirementsCandidate must be proficient in DatabricksSkillsThe Candidate must have 3-12 yrs of experience in databricks delta lakeHands on experience on AzureExperience on Python scriptingRelevant experience with ETL methods and with retrieving data from dimensional data models and data warehousesStrong experience with relational databases and data access methods especially SQLKnowledge of Azure architecture and designDisclaimer: The compensation and benefits information provided herein is accurate as of the date of this postingLTIMindtree 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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