We are seeking a talented and experienced Senior Data Engineer to join our team at Capital One. As a member of our data engineering team, you will play a critical role in building and maintaining our data infrastructure, enabling us to make data-driven decisions that drive business growth. We are looking for someone with a passion for data and a strong technical background in data engineering. If you are a self-motivated problem-solver with excellent communication skills and a desire to work in a dynamic and innovative environment, we want to hear from you!
- Design and develop data pipelines and infrastructure that support our business needs and enable efficient and accurate data processing.
- Collaborate with cross-functional teams to understand data requirements and provide technical solutions to support business initiatives.
- Implement and maintain data governance policies and procedures to ensure data quality and security.
- Optimize data processes for scalability, reliability, and performance.
- Conduct data profiling and analysis to identify data quality issues and implement solutions.
- Stay up-to-date with emerging data technologies and trends and make recommendations for their use in our infrastructure.
- Mentor and provide guidance to junior data engineers.
- Troubleshoot and resolve complex data issues in a timely and efficient manner.
- Communicate effectively with stakeholders to understand their data needs and provide updates on data engineering projects.
- Continuously monitor and improve the data infrastructure to ensure it meets the changing business needs.
Extensive Experience In Data Engineering: A Senior Data Engineer At Capital One Should Have A Minimum Of 5-7 Years Of Experience In Data Engineering, With A Proven Track Record Of Designing And Implementing Complex Data Solutions.
Proficiency In Programming Languages: Strong Proficiency In Programming Languages Like Sql, Python, Java, And Scala Is A Must For A Senior Data Engineer At Capital One. They Should Be Able To Write Efficient And Optimized Code To Handle Large Datasets.
Advanced Knowledge Of Data Warehousing And Etl Tools: A Senior Data Engineer Should Have A Deep Understanding Of Data Warehousing Concepts And Experience With Etl Tools Like Informatica, Talend, Or Ssis. They Should Be Able To Design And Build Scalable Data Pipelines To Support Business Needs.
Strong Analytical And Problem-Solving Skills: Capital One Values Individuals Who Can Think Critically And Solve Complex Problems. A Senior Data Engineer Should Possess Strong Analytical Skills To Identify Data Patterns, Trends, And Anomalies, And Troubleshoot Any Issues That May Arise.
Excellent Communication And Teamwork Skills: A Senior Data Engineer Should Have Excellent Communication Skills To Collaborate Effectively With Cross-Functional Teams, Including Data Scientists, Business Analysts, And Product Managers. They Should Be Able To Translate Technical Concepts Into Non-Technical Terms And Present Their Findings To Stakeholders.
Data Analysis
SQL Programming
Database Management
Data Modeling
Data warehousing
Data Visualization
Cloud Computing
Python Scripting
Data governance
ETL Development
Big Data technologies
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Organization
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Senior Data Engineer in Plano, TX, USA is between $135,000 and $165,000 per year. This can vary depending on factors such as experience, skills, and the specific company they work for. Senior Data Engineers with more experience and advanced skills may earn higher salaries.
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Capital One Financial Corporation is an American bank holding company specializing in credit cards, auto loans, banking, and savings accounts, headquartered in McLean, Virginia. Capital One is ranked 11th on the list of largest banks in the United States by assets.
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