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- Tasks: Design and support data engineering projects, managing real-time data pipelines.
- Company: Join a leading tech firm focused on innovative data solutions.
- Benefits: Enjoy flexible work options, competitive salary, and great corporate perks.
- Why this job: Be part of a dynamic team shaping the future of data technology.
- Qualifications: Bachelor's degree in IT and 5 years of relevant experience required.
- Other info: Experience with SQL, Python, and cloud technologies is essential.
The predicted salary is between 43200 - 72000 £ per year.
Design, implement, and support full life-cycle data engineering projects including large data ingestion, persistence, transformation, and retrieval. Design, develop, and maintain multiple code bases to service real-time data over a distributed data pipeline. Responsible for Kubernetes deployments and namespaces, MemSQL and Oracle databases, Victoria Metrics instances, on-prem S3, and codebases in Python, Typescript, and Kotlin. Maintain and manage pipeline between real-time data from streaming/non-streaming data sources such as Apache Pulsar/Oracle/MemSQL to application data stores and services.
JOB REQUIREMENTS
- MINIMUM EDUCATION: Bachelor's Degree in Computer Science, CIS, MIS or Information Technology.
- MINIMUM EXPERIENCE: Five (5) years of experience as Data Engineer, Database Engineer, Oracle Engineer, Systems Engineer, or Software Engineer.
- ALTERNATE EDUCATION: Master's Degree in Computer Science, CIS, MIS, or Information Technology.
- ALTERNATE EXPERIENCE: Three (3) years of experience as Data Engineer, Database Engineer, Oracle Engineer, Systems Engineer, or Software Engineer.
- SPECIAL REQUIREMENTS: The required five (5) years of experience with a Bachelor's degree or three (3) years of experience with a Master's degree as Data Engineer, Database Engineer, Oracle Engineer, Systems Engineer, or Software Engineer must have included two (2) years of experience using SQL, .Net, Python, Node and Java in the design, implementation, and support of full lifecycle data engineering projects. Experience must also have included event-driven and cloud-based architectures and containerization of streaming technologies.
Contact Detail:
EOG Resources, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Kubernetes, MemSQL, and Apache Pulsar. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with current or former employees of StudySmarter on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during interviews.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those involving real-time data processing and cloud-based architectures. Be ready to explain your role, the challenges faced, and how you overcame them, as this demonstrates your problem-solving abilities.
✨Tip Number 4
Stay updated on the latest trends in data engineering and related technologies. Being knowledgeable about emerging tools and practices can help you impress during interviews and show your commitment to continuous learning in the field.
We think you need these skills to ace Sr. Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with SQL, Python, and cloud-based architectures. Use specific examples from your past roles that demonstrate your skills in large data ingestion and real-time data processing.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your experience with Kubernetes deployments and any specific projects where you managed data pipelines. This is your chance to showcase your personality and passion for data engineering.
Highlight Relevant Projects: If you have worked on significant projects involving MemSQL, Oracle databases, or streaming technologies like Apache Pulsar, be sure to include these in your application. Detail your role and the impact of your contributions to demonstrate your expertise.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in data engineering roles.
How to prepare for a job interview at EOG Resources, Inc.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and other relevant technologies. Highlight specific projects where you designed and implemented data engineering solutions, especially those involving real-time data processing and cloud-based architectures.
✨Understand the Company’s Tech Stack
Research the tools and technologies used by the company, such as Kubernetes, MemSQL, and Apache Pulsar. Familiarise yourself with their applications in data engineering to demonstrate your knowledge and how you can contribute effectively.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Be ready to explain how you would handle large data ingestion or manage a distributed data pipeline, showcasing your critical thinking and technical expertise.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project goals, and the company's approach to data engineering. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
