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For Companies At a Glance
- Tasks: Design and maintain scalable backend systems and data pipelines on Google Cloud.
- Company: Join a leading tech company transforming data solutions in London.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team driving innovation and making an impact in data engineering.
- Qualifications: Experience with GCP, data engineering, and cloud-based solutions is essential.
- Other info: Work in a collaborative environment with a focus on continuous learning.
The predicted salary is between 54000 - 84000 £ per year.
Role: Senior GCP Data Engineer
Job Type: Permanent
Location: London, UK (Hybrid - 2 days WFO)
Number of hours: 40 hours per week – full time
Key Responsibilities:
- API Development: Design, develop, and maintain robust and scalable backend systems and APIs.
- Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into Google Cloud environments.
- Data Transformation: Implement data transformation processes, including data cleansing, normalization, and aggregation, to ensure data quality and consistency.
- Data Modeling: Develop and maintain data models and schemas to support efficient data storage and retrieval in Google Cloud platforms.
- Data Integration: Integrate data from multiple sources, both on-premises and cloud-based, using Cloud Composer or other relevant tools.
- Data Lakes: Build data lakes using Google Cloud services such as BigQuery.
- Performance Optimization: Optimize data pipelines and queries for improved performance and scalability in Google Cloud environments.
- Collaboration: Work with product managers to ensure superior product delivery to drive business value & transformation.
- Documentation: Document data engineering processes, data flows, and system configurations for future reference and knowledge sharing.
Your Profile
Essential Experience:
- Experience in data engineering, with a strong focus on Google Cloud Platform (GCP)-based solutions.
- Proficiency in the GCP platform, particularly in Data & AI services (e.g., BigQuery, DataProc, Cloud SQL, DataFlow, Pub/Sub, Cloud Data Fusion, Cloud Composer, Python, SQL).
- Designing, developing, and deploying scalable, reliable, and secure cloud-based solutions using GCP services.
- Translating business requirements into technical specifications.
- Proficiently utilizing core GCP services, such as Compute Engine, Kubernetes Engine (GKE), Cloud Storage, Cloud Functions, Cloud SQL, and BigQuery.
- Implementing and managing GCP networking configurations.
- Using IaC tools like Terraform to automate infrastructure provisioning and management.
- Implementing and managing Continuous Integration/Continuous Delivery (CI/CD) pipelines.
- Automating deployment processes.
- Implementing security best practices to protect cloud infrastructure and data.
- Identifying and resolving performance bottlenecks.
Desirable Knowledge & Experience:
- Experience with data analytics and Big Data technologies.
- Knowledge of cloud security best practices and compliance standards.
- Experience with agile development methodologies.
- GCP certifications (e.g., Google Cloud Certified Professional Cloud Developer).
Sr. GCP Data Engineer employer: Tata Consultancy Services
Contact Detail:
Tata Consultancy Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. GCP Data Engineer
✨Tip Number 1
Familiarise yourself with the specific GCP services mentioned in the job description, such as BigQuery and Cloud Composer. 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 professionals in the data engineering field, especially those who work with GCP. Attend meetups, webinars, or online forums to connect with others and gain insights into the latest trends and best practices in GCP data engineering.
✨Tip Number 3
Prepare to discuss your experience with CI/CD pipelines and IaC tools like Terraform during interviews. Be ready to provide examples of how you've implemented these practices in previous roles to demonstrate your technical expertise.
✨Tip Number 4
Showcase your problem-solving skills by preparing for scenario-based questions. Think about past challenges you've faced in data engineering and how you overcame them, particularly in optimising performance and ensuring data quality.
We think you need these skills to ace Sr. GCP Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Google Cloud Platform (GCP) and relevant data engineering skills. Use keywords from the job description, such as 'data pipelines', 'BigQuery', and 'CI/CD', to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your specific experience with GCP. Mention any relevant projects or achievements that align with the responsibilities listed in the job description.
Showcase Relevant Projects: If you have worked on projects involving data ingestion, transformation, or building data lakes, be sure to include these in your application. Provide brief descriptions of your role and the technologies used, especially those related to GCP.
Highlight Certifications: If you hold any GCP certifications, make them prominent in your application. This can set you apart from other candidates and demonstrate your commitment to professional development in cloud technologies.
How to prepare for a job interview at Tata Consultancy Services
✨Showcase Your GCP Expertise
Make sure to highlight your experience with Google Cloud Platform, especially the specific services mentioned in the job description like BigQuery and DataFlow. Be prepared to discuss how you've used these tools in past projects to solve real-world problems.
✨Demonstrate Your Data Pipeline Skills
Prepare examples of data pipelines you've developed or maintained. Discuss the challenges you faced during data ingestion and transformation, and how you optimised performance. This will show your practical knowledge and problem-solving abilities.
✨Understand the Business Context
Familiarise yourself with how data engineering impacts business outcomes. Be ready to explain how your technical skills can translate into business value, particularly in collaboration with product managers as mentioned in the role.
✨Prepare for Technical Questions
Expect technical questions related to data modelling, API development, and cloud security best practices. Brush up on your knowledge of IaC tools like Terraform and CI/CD processes, as these are crucial for the role.
