Are you a highly skilled and experienced engineer with a passion for data and a drive for innovation? Do you thrive in fast-paced, dynamic environments and have a knack for problem-solving? If so, we have an exciting opportunity for you. Bloomberg is seeking a Senior DataOps Engineer to join our talented team and play a critical role in driving the success of our data operations. As a Senior DataOps Engineer, you will utilize your technical expertise and leadership skills to design, implement, and maintain our data infrastructure, ensuring the efficient and accurate delivery of data to our clients. This is a unique opportunity to be at the forefront of cutting-edge data technologies and make a significant impact on the financial industry. We are looking for someone who is driven, collaborative, and passionate about data to join our team. If this sounds like you, we encourage you to apply today!
- Design and implement data infrastructure to support efficient and accurate delivery of data to clients.
- Utilize technical expertise to troubleshoot and resolve complex data issues.
- Lead and mentor junior data engineers in best practices and coding standards.
- Collaborate with cross-functional teams to gather requirements and design solutions that meet business needs.
- Develop and maintain data pipelines and workflows to optimize data processing and delivery.
- Monitor data quality and performance, identifying and addressing any issues in a timely manner.
- Stay up-to-date with industry trends and advancements in data technologies to drive innovation and improve processes.
- Implement and maintain data security protocols and procedures to ensure data integrity and confidentiality.
- Document data infrastructure and processes for knowledge sharing and future reference.
- Participate in on-call rotations to ensure 24/7 availability and support for data operations.
- Communicate effectively with stakeholders to provide updates on projects and seek feedback.
- Collaborate with data scientists and analysts to understand their data needs and provide support for data analysis.
- Identify opportunities for automation and optimization to improve efficiency and reduce manual effort.
- Proactively identify potential risks and develop contingency plans to mitigate them.
- Maintain a strong understanding of the financial industry and its data needs to drive the success of our data operations.
Extensive Technical Expertise: A Senior Dataops Engineer At Bloomberg Should Have A Deep Understanding Of Data Architecture, Databases, Data Pipelines, And Cloud Technologies. They Should Also Be Proficient In Programming Languages Such As Python, Java, Or Sql.
Experience With Data Management And Governance: The Ideal Candidate Should Have A Strong Background In Data Management And Governance, Including Data Quality, Data Security, And Data Privacy. They Should Be Familiar With Industry Best Practices And Compliance Regulations.
Project Management Skills: As A Senior Role, The Dataops Engineer Should Have Experience Managing Complex Projects And Working With Cross-Functional Teams. They Should Be Able To Prioritize Tasks, Delegate Responsibilities, And Effectively Communicate With Stakeholders.
Analytical And Problem-Solving Skills: The Role Of A Senior Dataops Engineer Involves Troubleshooting And Resolving Complex Data-Related Issues. Therefore, Candidates Should Possess Strong Analytical And Problem-Solving Skills To Identify And Address Issues In Data Pipelines, Databases, And Applications.
Continuous Learning Mindset: Technology Is Constantly Evolving, And A Senior Dataops Engineer At Bloomberg Should Be Willing To Continuously Learn And Adapt To New Tools And Techniques. They Should Also Be Proactive In Exploring New Technologies And Implementing Them To Improve Data Operations At Bloomberg.
Programming
Data Analysis
Data Modeling
DevOps
Agile Methodology
Scripting
Data Management
Data Visualization
Automation
Cloud Computing
Database administration
Infrastructure management
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
Interpersonal Skills
creativity
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Senior DataOps Engineer in New York, NY, USA is $120,000 - $180,000 per year. However, this can vary depending on factors such as the company, industry, experience, and skills of the individual. Some companies may offer higher salaries for this role, while others may offer lower salaries. It is important to research the specific company and industry to get a better understanding of the salary range for this position.
Apply with Video Cover Letter Add a warm greeting to your application and stand out!
Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day.
Get interviewed today!
JobzMall is the world‘ s largest video talent marketplace.It‘s ultrafast, fun, and human.
Get Started