Spark, Java, ADF, ADB
ECMS Number |
- |
Skill |
Spark, Java, ADF, ADB |
Role |
Tech Lead |
Experience level |
8-10 yrs. |
Project Description min 50 words |
High proficiency and 8 – 10 years of experience in designing/developing data analytics and data warehouse solutions. Writing Java and Python based scripts on Spark |
Experience in designing large data distribution, integration with service-oriented architecture and/or data warehouse solutions, Data Lake solution using Azure Databricks with large and multi-format data | |
Ability to translate working solution into implementable working package using Azure platform | |
Good understanding on Azure storage Gen2 | |
Hands on experience with Azure stack (minimum 5 years) | |
+ Spark | |
+ Java | |
+ Azure Databricks | |
+ Azure Data Factory | |
require experience in writng Spark code in Java | |
Proficient coding experience using Spark (Scala/Python), T-SQL | |
Understanding around the services related to Azure Analytics, Azure SQL, Azure function app, logic app | |
Should be able to demonstrate a constant and quick learning ability and to handle pressure situations without compromising on quality | |
Well organized and able to manage multiple projects in a fast-paced demanding environment. | |
Attention to detail and quality; excellent problem solving and communication skills. | |
Ability and willingness to learn new tools and applications. | |
Work Location with zip code |
Infosys Phase III, Pune |
BGC Completion timeline: Before/post onboarding |
Before Onboarding |
Vendor billing |
Max. 12500 INR/Day |