Neemtree
Data Engineer - Python/SQL/ETL
Bombay, भारत
Vacancy description
SMARTWORK IT SERVICES
Hyderabad, भारत
Job Summary :Lead Azure Data Engineer with 5+ years of experience in designing and building scalable data lakes, data warehouses, and ETL pipelines using Azure Data Factory, Azure Databricks, SQL, and https://jobeax.com/link/Vk2Ax4dKU3remBk1 :- Develop, implement, and maintain the information data lake and use insight platforms to enable decision support systems.- Partner with business and customers to understand data and reporting requirements.- Bring data sets together to answer business questions and drive growth.- Design ETLs to ingest data into the data warehouse and data lake, as well as end-user facing reporting applications.- Collaborate with business customers and development teams to define requirements and deliver flexible, scalable, end-to-end solutions.- Work with new technologies while driving business intelligence solutions end-to-end: business requirements, data modelling, ETL, metadata, reporting, and dashboarding.- Apply expertise in the design, creation, management, and business use of large datasets.- Define SLA for all areas of https://jobeax.com/link/wqlHD4SkskvnzHpx Stack & Requirements:- Experience with Data modelling, SQL, ETL, Data Warehousing and Data lakes.- Experience in writing SQL and Python scripts.- Experience in building dashboards and reports using Microsoft Power BI.- Experience in transforming data using Azure Data Factory.- Experience working with Spark and Azure Databricks.- Ability to balance and prioritize multiple conflicting requirements with high attention to detail.- Strong verbal/written communication & data presentation skills.- Familiarity with scripting languages such as Python, PySpark, or JavaScript.- Knowledge of Azure Databricks and MPP databases.- Exposure to NoSQL databases (such as Cosmos DB, MongoDB).- Experience following Agile processes.- Experience working with distributed version control systems like Git.- Experience with Mulesoft/Kingswaysoft/Marketo. (ref:hirist.tech)
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