LTIMindtree is seeking a Senior Specialist in Data Engineering to design and implement data pipelines using Azure technologies. The role requires strong analytical skills and experience with big data solutions.
Role Description • Experience in Synapase with pyspark • Knowledge of Big Data pipelines Data Engineering • Working Knowledge on Azure Data factory Azure Data Lake and Azure Data lake storage • Handson in Visualization like PowerBI • Implement endend data pipelines using cosmos Azure Data factory • Should have good analytical thinking and Problem solving • Good communication and coordination skills • Able to work as Individual contributor • Create Maintain and Enhance Big Data Pipeline • Daily status reporting interacting with Leads • Version control ADOGIT CICD • Marketing Campaign experiences • Data Platform Product telemetry Analytical thinking • Data Validation of the new streams • Data quality check of the new streams • Monitoring of data pipeline created in Azure Data factory • Updating the Tech spec and wiki page for each implementation of pipeline • Updating ADO on daily basis Skills Mandatory Skills : Azure Storage,Azure Web Job,PowerBI,Azure Cosmos DB,Azure Data Factory,Azure Functions,Azure SQL,Azure Synapse Analytics,AZURE DATA LAKE,C#,Flexcube technical PL/SQL-Performance Tuning & Shell Scripting,Generative AI/Open AI/Vector DB,Databricks Good to Have Skills : Azure Data Factory, Databricks Other Details Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): Benefits And Perks • Comprehensive Medical Plan Covering Medical, Dental, Vision • Short Term and Long-Term Disability Coverage • 401(k) Plan with Company match • Life Insurance • Vacation Time, Sick Leave, Paid Holidays • Paid Paternity and Maternity Leave The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. 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. Benefits Compensation range: $ 100,000.00 to 110,000.00 per year
LTIMindtree is seeking a Senior Specialist in Data Engineering to design and implement data pipelines using Azure technologies. The role requires strong analytical skills and experience with big data solutions.
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LTIMindtree is seeking a Senior Specialist in Data Engineering to design and implement data pipelines using Azure technologies. The role requires strong analytical skills and experience with big data solutions.
The Azure Data Platform Engineering Tech Lead at Georgia IT will drive the strategic planning and execution of data platforms while leading cross-functional initiatives. This role requires technical leadership in data governance and collaboration with various teams to align technical solutions with business needs.
LTIMindtree is seeking a Senior Specialist in Data Engineering to design and implement data pipelines using Azure technologies. The role requires strong analytical skills and experience with big data solutions.