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Job Description
What You Will Do :Bachelors Master&rsquos degree in information technology/Computer Science, Engineering (or equivalent) ? 7-10 years of experience in Azure Data Engineering.
- Experience working with Hadoop or other Big Data platform and building solutions that deliver value through leveraging data as an asset
- ETL technologies: at least one of the following: SSIS, Talend, Pentaho, Informatica, etc.
- End-to-end Microsoft BI & Data stack: Analytics Platform Server, HD Insight, Stream Insight, SharePoint BI, PowerPivot, Power View
- Applied experience in Reporting Tools like Power BI , Tableau etc.
- Applied experience and skills with API Development
- Applied experience with Cloud platforms including AWS and/or Azure
- Experience working with various types of data sources such as SAP, JDE, legacy ERP systems
- Big Data stack: Spark, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka, Storm
- Develop data pipelines using Azure Data Factory.
- Develop data storage layer using Azure SQL DB & Azure Data Lake.
- Develop dashboards & Reports using Power BI.
- Knowledge of developing real-time data ingestion pipelines.
- Design & develop data platform using Azure Databricks to process data.
- Develop notebooks & jobs using Python language.
- Understanding of messaging infrastructure like event hub, service bus & notification hub.
- Should have good understanding on Azure Cosmos DB, Azure DW Duties and Responsibilities
- Work with the application development team to implement data strategies, build data flows
- Should have expertise across the database. Responsible for gathering and analyzing data requirements and data flows to other systems
- Lead multiple scrum teams Preferred Interpersonal Skills
- Good verbal and written communication skill
- Team Player
- Team-working &ndash being able to work with others in groups and teams
- Problem solving and decision-making &ndash working with others to identify, define and solve problems, which includes making decisions about the best course of action
- Strong conceptual strength, strategic thinking, problem solving, technical, and analytical skills.
- Ability to ask next level questions anticipating business inquiries and performing root cause analysis What You Need :
- Experience working with Hadoop or other Big Data platform and building solutions that deliver value through leveraging data as an asset
- ETL technologies: at least one of the following: SSIS, Talend, Pentaho, Informatica, etc.
- End-to-end Microsoft BI & Data stack: Analytics Platform Server, HD Insight, Stream Insight, SharePoint BI, PowerPivot, Power View
- Applied experience in Reporting Tools like Power BI , Tableau etc.
- Applied experience and skills with API Development
- Applied experience with Cloud platforms including AWS and/or Azure
- Experience working with various types of data sources such as SAP, JDE, legacy ERP systems
Looking to get Placed? Try our Placement Guarantee Plan
- Big Data stack: Spark, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka, Storm
- Develop data pipelines using Azure Data Factory.
- Develop data storage layer using Azure SQL DB & Azure Data Lake.
- Develop dashboards & Reports using Power BI.
- Knowledge of developing real-time data ingestion pipelines.
- Design & develop data platform using Azure Databricks to process data.
- Develop notebooks & jobs using Python language.
- Understanding of messaging infrastructure like event hub, service bus & notification hub.
- Should have good understanding on Azure Cosmos DB, Azure DW Duties and Responsibilities
- Work with the application development team to implement data strategies, build data flows
- Should have expertise across the database. Responsible for gathering and analyzing data requirements and data flows to other systems
- Lead multiple scrum teams Preferred Interpersonal Skills
- Good verbal and written communication skill
- Team Player
- Team-working &ndash being able to work with others in groups and teams
- Problem solving and decision-making &ndash working with others to identify, define and solve problems, which includes making decisions about the best course of action
- Strong conceptual strength, strategic thinking, problem solving, technical, and analytical skills.
- Ability to ask next level questions anticipating business inquiries and performing root cause analysis
Skills
AnalyticsTableauERPPythonIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Important dates & deadlines?
Application Deadline
06 Apr 23, 12:00 AM IST
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