Senior Data Engineer (Python, SQL, AWS)
Are you a highly skilled and experienced Senior Data Engineer with expertise in Python, SQL, and AWS? Do you have a passion for leveraging data to drive business decisions and improve customer experiences? If so, we have an exciting opportunity for you at Capital One.Join our dynamic team and take on a challenging role where you will play a key part in designing and implementing data solutions that will have a significant impact on our organization. We are looking for a self-motivated individual who thrives in a fast-paced environment and can collaborate effectively with cross-functional teams to deliver innovative solutions.To be successful in this role, you must have a strong background in data engineering, along with exceptional problem-solving and communication skills. If you are ready to take your career to the next level and make a difference in the world of data, apply now for our Senior Data Engineer position at Capital One.
- Design and implement data solutions to support business objectives and drive customer experiences.
- Utilize expertise in Python, SQL, and AWS to develop and optimize data pipelines and infrastructure.
- Collaborate with cross-functional teams to identify and understand data requirements and develop solutions that meet business needs.
- Lead the design and development of scalable and efficient data architecture.
- Analyze and troubleshoot data issues to ensure accuracy and reliability of data.
- Communicate effectively with stakeholders to gather requirements, present findings, and provide updates on project progress.
- Stay updated on industry trends and best practices in data engineering to continuously improve processes and tools.
- Mentor and train junior data engineers to promote knowledge sharing and development within the team.
- Collaborate with data scientists and analysts to support their data needs and enable data-driven decision making.
- Develop and maintain documentation of data pipelines, processes, and systems.
- Proactively identify and propose solutions for potential data issues or inefficiencies.
- Adhere to data security and privacy protocols to protect sensitive information.
Expert Knowledge Of Python Programming Language, Including Strong Experience With Data Manipulation And Analysis Libraries Such As Pandas, Numpy, And Scipy.
Extensive Experience With Sql Databases, Including The Ability To Write Complex Queries And Optimize Database Performance.
In-Depth Understanding Of Aws Cloud Services, Particularly Those Related To Data Engineering Such As S3, Redshift, And Emr.
Proven Track Record Of Designing And Building Data Pipelines For Large-Scale, Complex Data Sets.
Strong Problem-Solving And Critical Thinking Skills, With The Ability To Troubleshoot And Optimize Data Processes And Identify Opportunities For Improvement.
Database Management
Big Data
Data Modeling
Machine Learning
Data warehousing
Data Manipulation
Data Visualization
Cloud Computing
Analytics
Data governance
ETL Development
Data
Communication
Conflict Resolution
Leadership
Time management
creativity
Teamwork
Adaptability
Problem-Solving
Empathy
Decision-making
According to JobzMall, the average salary range for a Senior Data Engineer (Python, SQL, AWS) in Plano, TX, USA is typically between $130,000 and $170,000 per year. This salary range can vary depending on various factors such as level of experience, company size, and industry.
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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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