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ServiceNow Developer

at UBS

Back to all Data Engineering jobs
UBS logo
Bulge Bracket Investment Banks

ServiceNow Developer

at UBS

Mid LevelNo visa sponsorshipData Engineering

Posted 19 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

This role involves designing, developing, and maintaining data pipelines and analytics solutions using technologies such as Databricks, PySpark, Python, and RDBMS systems. The candidate will collaborate with various stakeholders to deliver high-quality data engineering solutions while ensuring data quality and governance. Troubleshooting and documentation are also key responsibilities.

We are seeking a skilled and motivated Data Engineer to join our data analytics and engineering team to design, develop and lead implementation of data pipeline and analytics solutions. At the role you will: design, develop, and maintain robust data pipelines using Databricks and PySpark. Design and develop using any RDBMS technologies like Oracle, SQL Server, and etc. Write efficient and reusable code in Python for data transformation and automation tasks. Develop and optimize complex SQL queries for data extraction, transformation, and loading (ETL). Collaborate with product owners, architects, and business stakeholders to understand data needs and deliver high-quality solutions. Ensure data quality, integrity, and governance across all data processes. Monitor and troubleshoot data workflows and performance issues. Document technical solutions and maintain best practices for data engineering.

ServiceNow Developer

at UBS

Back to all Data Engineering jobs
UBS logo
Bulge Bracket Investment Banks

ServiceNow Developer

at UBS

Mid LevelNo visa sponsorshipData Engineering

Posted 19 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

This role involves designing, developing, and maintaining data pipelines and analytics solutions using technologies such as Databricks, PySpark, Python, and RDBMS systems. The candidate will collaborate with various stakeholders to deliver high-quality data engineering solutions while ensuring data quality and governance. Troubleshooting and documentation are also key responsibilities.

We are seeking a skilled and motivated Data Engineer to join our data analytics and engineering team to design, develop and lead implementation of data pipeline and analytics solutions. At the role you will: design, develop, and maintain robust data pipelines using Databricks and PySpark. Design and develop using any RDBMS technologies like Oracle, SQL Server, and etc. Write efficient and reusable code in Python for data transformation and automation tasks. Develop and optimize complex SQL queries for data extraction, transformation, and loading (ETL). Collaborate with product owners, architects, and business stakeholders to understand data needs and deliver high-quality solutions. Ensure data quality, integrity, and governance across all data processes. Monitor and troubleshoot data workflows and performance issues. Document technical solutions and maintain best practices for data engineering.

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