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For Employers

Data Engineer

Jade Business Services (JBS)

6 years

0 Lacs

india

Posted:2 weeks ago| Platform:

Apply

Skills Required

data azure communication design sql etl pyspark spark storage vault engineering devops deployment server rest api powerbi support reporting service pipeline architecture governance analytics healthcare finance strategy drive

Work Mode

Remote

Job Type

Full Time

Job Description

Role:

Experience:

Should know the fundamentals of Synapse / Data Eng

should have executed atleast 1 project in Fabric

Work Location:

Notice Period:

Shift:

Required Skills:

Azure Synapse
(Hands-on experience and atleast 4+ years relevant experience is mandatory)
Microsoft Fabric (Hands-on experience and atleast 1 project they should have executed using Microsoft Fabric which is mandatory)- more than 6 months , and min 1 project ,,
Azure Data Factory (ADF)
Azure Storage
PySpark
SQL
Azure Key Vault
Excellent communication skills as this would be client facing and L2 will be client round of interview.

Responsibilities:

Design and implement scalable data pipelines using Microsoft Fabric, including Dataflows Gen2, Lakehouse, Notebooks and SQL endpoints.
Develop ETL/ELT solutions using PySpark, T-SQL and Spark Notebooks within Fabric and Azure Synapse.
Manage and optimize data storage and compute in OneLake supporting Lakehouse and Warehouse use cases.
Implement and manage Azure Key Vault for secure handling of secrets, credentials and connection strings.
Configure and manage CI/CD pipelines for Data engineering projects using Azure Devops including automated deployment of Fabric assets.
Integrate data from diverse sources including SQL server, Azure Blob, REST API’s and on-prem systems.
Collaborate closely with business teams and PowerBI developers to ensure data models support reporting and self-service needs.
Monitor and troubleshoot data pipeline performance, data quality and failure recovery.
Contribute to architecture design, governance processes and performance tuning.

About JBS:

Data and Analytics solutions

Learn more about us at

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