5 years
0 Lacs
Posted:1 week ago|
Platform:
Remote
Full Time
Design, construct, install, test, and maintain highly scalable data management systems.
Implement complex data warehousing projects with a focus on collecting, parsing, managing, analyzing, and visualizing large datasets to turn information into insights using Power BI.
Ensure systems meet business requirements and industry practices by integrating new data management technologies and software engineering tools into existing structures.
Create robust data pipelines using ETL processes that follow best practices in data modeling, ingestion, modeling, data cleansing, data enrichment, and transformation.
Utilize Azure cloud services effectively to deploy and maintain a scalable data infrastructure.
Collaborate with data Analysts, data scientists, and architects on several projects, ensuring that the optimal data delivery architecture is consistent throughout ongoing projects.
Engage with stakeholders and team members to assist with data-related technical issues and support their data infrastructure needs.
Develop high-performance algorithms, predictive models, and prototypes using Python and PySpark.
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Kaivale Technologies
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