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- Aufgaben: Lead the design and development of AWS Data Bricks applications using Spark/Scala.
- Arbeitgeber: Join a forward-thinking tech company focused on innovative cloud solutions.
- Mitarbeitervorteile: Enjoy remote work flexibility and long-term employment opportunities.
- Warum dieser Job: Be part of a collaborative team driving quality and innovation in cloud architecture.
- Gewünschte Qualifikationen: 10+ years in architecture and data engineering with strong AWS and Spark expertise required.
- Andere Informationen: Opportunity to work on cutting-edge technology and influence project outcomes.
Das voraussichtliche Gehalt liegt zwischen 72000 - 108000 € pro Jahr.
Job Title : Lead AWS Data Bricks Spark/Scala Engineer
Job ID: 2022-11882
Job Location: Remote
Job Travel Location(s):
# Positions: 1
Employment Type: W2
Candidate Constraints:
Duration:Long Term
# of Layers:0
Work Eligibility:US Permanent Eligibility to Work Required
Key Technology: DataBricks, AWS, Spark
Job Responsibilities:
- Data Bricks Architect profile with AWS combination.
- Data Management, Solutioning, Data Engineering and ETL proficiency using Data Bricks tool / framework which includes programming with Spark/Scala
- Data Management, Migration experience from other platforms to AWS
- Drive mentality of building well architected applications for AWS Cloud
- Drive the mentality of quality being owned by the entire team
- Identify code defects and work with developers to address quality issues in product code.
- Finding bottlenecks and thresholds in existing code through the use of automation tools.
- Articulate clear business objectives aligned to technical specifications and work in an iterative agile pattern daily.
- Ownership over your work task, and are comfortable interacting with all levels of the team and raise challenges when necessary
Skills and Experience Required:
Required:
- 10+ years of experience in architecture, design, implementation, and analytics solutions
- Hands on development Design and Develop applications using Databricks
- Experience with Solutioning on AWS
- Data Migration experience from other platforms to AWS
- In depth understanding of Spark Architecture including Spark Core, Spark SQL, Data Frames, Spark Streaming, RDD caching, Spark MLib.
Desired:
- Any programming language experience with SQL, Store procedures, Spark/Scala.
- Strong understanding of Data Modeling and defining conceptual logical and physical data models.
- Ability to design and demonstrate system Architecture with different environments
- Ability to deal with both On-Premises and Cloud systems
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Lead AWS Data Bricks Spark/Scala Engineer Arbeitgeber: Highbrow LLC
Kontaktperson:
Highbrow LLC HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Lead AWS Data Bricks Spark/Scala Engineer
✨Tip Number 1
Make sure to showcase your extensive experience with AWS and DataBricks in your conversations. Highlight specific projects where you've successfully implemented data solutions, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Familiarize yourself with the latest trends and best practices in Spark and Scala. Being able to discuss recent advancements or challenges in these technologies can set you apart during interviews.
✨Tip Number 3
Prepare to discuss your approach to quality assurance and how you’ve identified and resolved code defects in past projects. This shows that you take ownership of your work and are committed to delivering high-quality solutions.
✨Tip Number 4
Be ready to articulate how you align technical specifications with business objectives. This skill is crucial for a Lead Engineer role and demonstrates your ability to bridge the gap between technical and non-technical stakeholders.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Lead AWS Data Bricks Spark/Scala Engineer
Tipps für deine Bewerbung 🫡
Understand the Job Requirements: Carefully read through the job description to understand the key responsibilities and required skills. Highlight your experience with DataBricks, AWS, and Spark/Scala in your application.
Tailor Your Resume: Customize your resume to reflect your 10+ years of experience in architecture, design, and implementation. Emphasize your hands-on development experience and any relevant projects that showcase your expertise in data management and migration.
Craft a Compelling Cover Letter: Write a cover letter that articulates your passion for data engineering and your understanding of the role. Mention specific examples of how you've driven quality in your previous work and your ability to work in an agile environment.
Highlight Relevant Projects: In your application, include details about specific projects where you utilized DataBricks and AWS. Discuss any challenges you faced and how you overcame them, particularly in relation to data migration and architecture.
Wie du dich auf ein Vorstellungsgespräch bei Highbrow LLC vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with DataBricks, AWS, and Spark/Scala. Highlight specific projects where you implemented solutions, focusing on architecture and data migration.
✨Demonstrate Problem-Solving Skills
Expect questions about identifying code defects and optimizing existing code. Share examples of how you've used automation tools to find bottlenecks and improve performance.
✨Communicate Clearly and Effectively
Articulate your thought process when discussing technical specifications and business objectives. Practice explaining complex concepts in a way that is easy for non-technical team members to understand.
✨Emphasize Team Collaboration
Discuss your experience working in agile environments and how you interact with different levels of the team. Be ready to share instances where you raised challenges and contributed to team quality ownership.
