About the job

Experience with Azure data services including Azure Data Lake, Azure Data Factory, and Azure Data Pipelines, Synapse Analytics is mandatory.
Expertise in SQL, Python, Py-Spark or Spark-SQL.
Expertise to develop reports/dashboards in Power BI.
Expertise to troubleshoot performance issues & optimize the Azure models, reports & dashboards.
Should have exposure to work in Cognitive Services, Log analytics, Function app, Logic App and so on.
Should have strong analytical skill.
Preferred Microsoft Certified Data Engineers.
Strong understanding of web technologies, relational databases, and data warehousing, plus ETL design
Should have good communication skill to interact with different stakeholders.

Responsibilities:

Execute the various software development lifecycle (SDLC) activities including user stories, use cases, software requirements, design, development and testing
Implement and maintain software products ensuring the effectiveness of the quality
Develop test plans and test cases for software components
Design and implement the optimal data pipeline to ingest and orchestrate the data in Azure to fulfill the business requirements.

Earn certifications in these skills

+ 5 more skills

Who can apply

Only those candidates can apply who:

1. have minimum -1 years of experience

Probation:

Duration:

Salary during probation:

After probation:

Annual CTC: Competitive salary

Editor’s note

Information above is Internshala's interpretation and paraphrasing of what we found on the shared link.

Azure Data Engineer