Senior Cloud Platform Engineer

Jones Lang LaSalle Property Consultants (India) Pv t. Ltd.

3 - 7 years

5 - 9 Lacs

Bengaluru

Posted:1 week ago| Platform:

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Skills Required

microsoft azure datafactory paas cloud infrastructure iaas azure databricks data services python ssas data warehousing power bi azure data factory elt cloud platform sql server sql docker data bricks spark data lake storage ssrs ssis aws etl

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are looking for a Strategic thinker, have ability grasp new technologies, innovate, develop, and nurture new solutions.
a self-starter to work in a diverse and fast-paced environment to support, maintain and advance the capabilities of the unified data platform.
This a global role that requires partnering with the broader JLLT team at the country, regional and global level by utilizing in-depth knowledge of cloud infrastructure technologies and platform engineering experience.

Responsibilities

Developing ETL/ELT pipelines using Synapse pipelines and data flows
Integrating Synapse with other Azure data services (Data Lake Storage, Data Factory, etc.)
Building and maintaining data warehousing solutions using Synapse
Design and contribute to information infrastructure and data management processes
Develop data ingestion systems that cleanse and normalize diverse datasets
Build data pipelines from various internal and external sources
Create structure for unstructured data
Develop solutions using both relational and non-relational databases
Create proof-of-concept implementations to validate solution proposals

Sounds like you To apply you need to be:

Experience & Education

Bachelors degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science.
Worked with Cloud delivery team to provide technical solutions services roadmap for customer.
Knowledge on creating IaaS and PaaS cloud solutions in Azure Platform that meet customer needs for scalability, reliability, and performance

Technical Skills & Competencies

Developing ETL/ELT pipelines using Synapse pipelines and data flows
Integrating Synapse with other Azure data services (Data Lake Storage, Data Factory, etc.)
Building and maintaining data warehousing solutions using Synapse
Design and contribute to information infrastructure and data management processes
Develop data ingestion systems that cleanse and normalize diverse datasets
Build data pipelines from various internal and external sources
Create structure for unstructured data

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