Senior Data Engineer (Python, AWS, Spark)
Are you a highly skilled Senior Data Engineer with a passion for using cutting-edge technologies to drive data solutions and insights? Do you have a strong background in Python, AWS, and Spark? If so, we have an exciting opportunity for you at Capital One. As a Senior Data Engineer, you will play a key role in designing, developing, and maintaining our data infrastructure, enabling us to make data-driven decisions that impact millions of customers. Join our dynamic team and use your expertise to drive innovation and shape the future of data at Capital One.
- Design and develop data infrastructure solutions to support business needs and data-driven decision making
- Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions
- Utilize cutting-edge technologies, such as Python, AWS, and Spark, to build and maintain scalable and reliable data pipelines
- Ensure data quality and integrity through testing and validation of data pipelines
- Monitor and troubleshoot data pipelines to identify and resolve issues in a timely manner
- Identify opportunities for automation and optimization of data processes
- Stay up-to-date with industry trends and best practices in data engineering to continuously improve our data infrastructure
- Mentor and guide junior data engineers to promote growth and development within the team
- Collaborate with data scientists and analysts to provide data insights and support data-driven decision making
- Contribute to the overall data strategy and roadmap of the organization
- Communicate effectively with stakeholders to understand their needs and provide timely updates on project progress.
Strong Programming Skills: A Senior Data Engineer At Capital One Must Possess Advanced Programming Skills In Python, Including Experience With Data Manipulation Libraries Such As Pandas And Numpy. Additionally, Experience With Other Languages Such As Java And Scala May Be Beneficial.
Extensive Knowledge Of Aws: Capital One Relies Heavily On Aws For Its Cloud Computing Infrastructure, So A Senior Data Engineer Must Have A Deep Understanding Of Aws Services Such As Ec2, S3, And Redshift. Experience With Managing And Optimizing Aws Resources Is Also Highly Desired.
Expertise In Spark: As Capital One Deals With Large Amounts Of Data, Proficiency In Spark Is Essential For A Senior Data Engineer. This Includes Experience With Data Ingestion, Processing, And Analysis Using Spark, As Well As Knowledge Of Spark's Various Libraries And Apis.
Data Modeling And Database Skills: A Senior Data Engineer Must Have Strong Skills In Data Modeling And Database Design. This Includes Experience With Both Relational And Non-Relational Databases, As Well As Knowledge Of Data Warehousing And Data Lake Concepts.
Problem-Solving And Communication Skills: In Addition To Technical Qualifications, A Senior Data Engineer At Capital One Must Possess Critical Thinking And Problem-Solving Skills To Tackle Complex Data Challenges. They Must Also Have Strong Communication Skills To Collaborate With Cross-Functional Teams And Effectively Communicate Their Findings And Solutions.
Database Management
Data Modeling
Machine Learning
Data warehousing
Data Manipulation
Data Visualization
Cloud Computing
Data integration
ETL processes
Data architecture
Big Data Analytics
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
Active Listening
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Senior Data Engineer (Python, AWS, Spark) in Richmond, VA, USA is between $130,000 to $160,000 per year. This may vary depending on the specific company, level of experience, and skills of the individual. Some companies may offer higher salaries or additional bonuses and benefits.
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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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