At a Glance
- Tasks: Design and maintain large-scale ETL pipelines using PySpark on AWS.
- Company: Tech Mahindra, a leading tech firm in the UK.
- Benefits: Competitive salary, flexible working options, and career development opportunities.
- Other info: Collaborative environment with opportunities to innovate and grow.
- Why this job: Join a dynamic team and work on real-time data solutions that drive analytics.
- Qualifications: Experience in data engineering and proficiency in AWS technologies.
The predicted salary is between 54000 - 66000 Β£ per year.
Tech Mahindra in the United Kingdom is seeking a data engineering specialist to design and maintain large-scale ETL pipelines using Py Spark on AWS.
You will build robust parsing, schema management, and real-time data ingestion workflows for analytics and data warehousing.
The role involves optimizing data processing on EMR, integrating Redshift and Click House, implementing error handling, and ensuring schemas align with vendor specs.
Collaboration with cross-functional teams is essential.
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Senior AWS Data Engineer β Real-Time Data & Schema Mastery employer: Tech Mahindra
Tech Mahindra is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Employees benefit from extensive growth opportunities within the life sciences sector, supported by a commitment to diversity and inclusion at all levels. With a focus on cutting-edge IT and AI solutions, team members are empowered to make a meaningful impact while building strong relationships with biopharma clients.
StudySmarter Expert Adviceπ€«
We think this is how you could land Senior AWS Data Engineer β Real-Time Data & Schema Mastery
β¨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior AWS Data Engineer β Real-Time Data & Schema Mastery
Some tips for your application π«‘
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Donβt forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Tech Mahindra, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why youβre a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Tech Mahindra. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Tech Mahindra
β¨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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β¨Get Comfortable with Python and R
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β¨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how weβd approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.