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For Companies At a Glance
- Tasks: Design and implement data pipelines, manage cloud infrastructure, and optimise data processing systems.
- Company: Join a dynamic team focused on leveraging data for business success in a fast-paced environment.
- Benefits: Enjoy remote work flexibility and the chance to work with cutting-edge technologies.
- Why this job: This role offers the opportunity to make a real impact while collaborating with cross-functional teams.
- Qualifications: 10+ years of experience in data engineering and a degree in Computer Science or related field required.
- Other info: Contract duration is 4 months with potential for extension; start date is ASAP.
The predicted salary is between 48000 - 72000 £ per year.
Duration of Contract – 4 months with possible extension
Start Date: ASAP
Experience Level: 10+ Years
We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate should have a robust background in the various phases of ETL data applications, including data ingestion, preprocessing, and transformation. This role is perfect for someone who thrives in a fast-paced environment and is passionate about leveraging data to drive business success.
Key Responsibilities:
- Design and implement efficient data ingestion pipelines to collect and process large volumes of data from various sources.
- Hands-on experience with AWS Database Migration Service for seamless data migration between databases.
- Develop and maintain scalable data processing systems, ensuring high performance and reliability.
- Utilize advanced data transformation techniques to prepare and enrich data for analytical purposes.
- Collaborate with cross-functional teams to understand data needs and deliver solutions that meet business requirements.
- Manage and optimize cloud-based infrastructure, particularly within the AWS ecosystem, including services such as S3, Step-Function, EC2, and IAM.
- Experience with cloud platforms and understanding of cloud architecture.
- Knowledge of SQL and NoSQL databases, data modelling, and data warehousing principles.
- Familiarity with programming languages such as Python or Java.
- Implement security and compliance measures to safeguard data integrity and privacy.
- Monitor and tune the performance of data processing systems to ensure optimal efficiency.
- Stay updated with emerging trends and technologies in data engineering and propose adaptations to existing systems as needed.
- Proficient in AWS Glue for ETL (Extract, Transform, Load) processes and data cataloging.
- Hands-on experience with AWS Lambda for serverless computing in data workflows.
- Knowledge of AWS Glue Crawler Kinesis RDS for batch / real-time data streaming.
- Familiarity with AWS Redshift for large-scale data warehousing and analytics.
- Skillful in implementing data lakes using AWS Lake Formation for efficient storage and retrieval of diverse datasets.
- Experience with AWS Data Pipeline for orchestrating and automating data workflows.
- In-depth understanding of AWS CloudFormation for infrastructure as code (IaC) deployment.
- Proficient in AWS CloudWatch for monitoring and logging data processing workflows.
- Familiarity with AWS Glue DataBrew for visual data preparation and cleaning.
- Expertise in optimizing data storage costs through AWS Glacier and other cost-effective storage solutions.
- Hands-on experience with AWS DMS (Database Migration Service) for seamless data migration between different databases.
- Knowledge of AWS Athena for interactive query processing on data stored in Amazon S3.
- Experience with AWS AppSync for building scalable and secure GraphQL APIs.
Qualifications:
A minimum of 10 years of experience in data engineering or a related field. Strong background in big data application phases, including data ingestion, preprocessing, and transformation.
Education:
Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field. A Master’s degree is preferred.
002AVM - Data Engineer (Remote) employer: Augusta Hitech
Contact Detail:
Augusta Hitech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 002AVM - Data Engineer (Remote)
✨Tip Number 1
Make sure to showcase your hands-on experience with AWS services in your conversations. Since this role heavily relies on AWS tools like Glue, Lambda, and Redshift, being able to discuss specific projects where you've used these technologies will set you apart.
✨Tip Number 2
Network with current or former employees of StudySmarter on platforms like LinkedIn. They can provide insights into the company culture and the team dynamics, which can help you tailor your approach during interviews.
✨Tip Number 3
Stay updated on the latest trends in data engineering and cloud technologies. Being able to discuss recent advancements or tools you've experimented with can demonstrate your passion and commitment to the field during discussions.
✨Tip Number 4
Prepare to discuss how you've optimised data processing systems in previous roles. Sharing specific examples of how you've improved performance or reduced costs will highlight your problem-solving skills and technical expertise.
We think you need these skills to ace 002AVM - Data Engineer (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data engineering, particularly focusing on ETL processes, AWS services, and any programming languages mentioned in the job description. Use specific examples to demonstrate your expertise.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and how your skills align with the company's needs. Mention specific projects or achievements that relate to the responsibilities outlined in the job description.
Highlight Relevant Skills: In your application, emphasise your hands-on experience with AWS tools and technologies, such as AWS Glue, Lambda, and Redshift. Be sure to mention your familiarity with SQL and NoSQL databases, as well as your understanding of cloud architecture.
Showcase Continuous Learning: Demonstrate your commitment to staying updated with emerging trends in data engineering. Mention any recent courses, certifications, or projects that reflect your proactive approach to professional development in this fast-paced field.
How to prepare for a job interview at Augusta Hitech
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with AWS services, especially those mentioned in the job description like AWS Glue, Lambda, and DMS. Highlight specific projects where you implemented these technologies and the impact they had on data processing efficiency.
✨Demonstrate Problem-Solving Abilities
Expect scenario-based questions that assess your ability to troubleshoot and optimise data pipelines. Prepare examples of challenges you've faced in previous roles and how you resolved them, particularly in high-pressure environments.
✨Understand the Business Context
Research the company’s industry and how they leverage data for business success. Be ready to discuss how your skills can directly contribute to their goals and improve their data-driven decision-making processes.
✨Prepare Questions for the Interviewers
Have insightful questions ready about the team dynamics, current projects, and future data initiatives. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.
