Data Engineer (Spark, Databricks, Azure, Scala & Java)
Are you passionate about data and driven to create innovative solutions? Do you have experience with Spark, Databricks, Azure, Scala, and Java? We are seeking a highly skilled Data Engineer to join our team at UBS. As a Data Engineer, you will play a crucial role in designing, building, and maintaining data pipelines and data warehouses. Your expertise in data engineering and programming languages will help us drive data integration and optimization for our business. Join us and be a part of transforming and modernizing our data capabilities.
- Design and build efficient and scalable data pipelines and data warehouses using Spark, Databricks, Azure, Scala, and Java.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Develop innovative data solutions to improve data quality, integration, and optimization.
- Monitor and troubleshoot data pipelines to ensure smooth and accurate data flow.
- Implement data security and privacy measures to protect sensitive data.
- Stay up-to-date with industry trends and advancements in data engineering and programming languages.
- Continuously evaluate and improve existing data systems and processes.
- Work closely with data analysts and data scientists to support their data needs.
- Participate in code reviews and provide constructive feedback to improve code quality.
- Communicate effectively with stakeholders to understand their data needs and provide timely solutions.
- Train and mentor junior data engineers to improve their technical skills.
- Identify and address any data-related issues or bottlenecks that may impact business operations.
- Collaborate with IT teams to ensure data infrastructure meets performance and scalability requirements.
- Proactively identify and propose new data engineering solutions to enhance business capabilities.
- Contribute to the transformation and modernization of data capabilities at UBS.
Strong Technical Skills In Spark: A Data Engineer At Ubs Should Have A Deep Understanding Of Spark And Its Ecosystem, Including Spark Sql, Spark Streaming, And Spark Mllib. They Should Also Be Able To Optimize Spark Jobs For Performance And Troubleshoot Any Issues That May Arise.
Experience With Databricks: Ubs Uses Databricks As Its Primary Data Processing And Analytics Platform, So Knowledge And Experience With Databricks Is A Must For A Data Engineer. This Includes Building And Deploying Data Pipelines, Managing Clusters, And Using Databricks Notebooks For Data Transformation And Analysis.
Proficiency In Azure: As A Global Financial Institution, Ubs Relies Heavily On Cloud Technologies, With Azure Being Its Primary Cloud Provider. A Data Engineer Should Be Well-Versed In Azure Services, Such As Azure Data Factory, Azure Data Lake, And Azure Hdinsight, To Design And Implement Scalable And Secure Data Solutions.
Strong Programming Skills In Scala And Java: Ubs Requires Its Data Engineers To Have A Strong Background In Object-Oriented And Functional Programming Languages. Proficiency In Scala And Java Is Essential For Building And Maintaining Data Pipelines And Applications On The Databricks Platform.
Experience With Data Modeling And Etl Processes: A Data Engineer At Ubs Should Have A Solid Understanding Of Data Modeling Principles And Experience With Etl (Extract, Transform, Load) Processes. They Should Be Able To Design Efficient Data Models And Develop Etl Pipelines To Transform And Load Data Into Data Warehouses Or Data Lakes.
Data Analysis
Big Data
Machine Learning
Data Management
Data Visualization
Cloud Computing
Distributed Computing
Database design
Programming Languages
Stream
ETL (Extract, Transform, Load)
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data Engineer (Spark, Databricks, Azure, Scala & Java) in Ocean County, NJ, USA is between $120,000 to $150,000 per year. However, this can vary depending on factors such as the company, experience level, and specific skills and certifications. Some companies may offer higher salaries for more experienced or specialized Data Engineers.
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UBS is a global firm providing financial services in over 50 countries. The company provides wealth management, asset management, and investment banking services for private, corporate, and institutional clients worldwide.
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