At a Glance
- Tasks: Develop and optimise data processing jobs using AWS technologies and implement robust error handling.
- Company: Join Tech Mahindra, a global leader in tech solutions with a commitment to sustainability.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Be part of a diverse team driving innovation and transformation across industries.
- Why this job: Make an impact in a dynamic environment while working with cutting-edge cloud technologies.
- Qualifications: Experience in AWS, data engineering, and strong coding skills required.
The predicted salary is between 63000 - 77000 £ per year.
About Us
Tech Mahindra offers technology consulting and digital solutions to global enterprises across industries, enabling transformative scale at unparalleled speed.
With 149k+ professionals across 90+ countries helping 1100+ clients, Tech M provides a full spectrum of services including consulting, information technology, enterprise applications, business process services, engineering services, network services, customer experience & design services, AI & analytics, and cloud & infrastructure services.
It is the first Indian company in the world to have been awarded the Sustainable Markets Initiative’s Terra Carta Seal, in recognition of actively leading the charge to create a climate and nature-positive future.
Tech Mahindra (NSE: TECHM) is part of the Mahindra Group, founded in 1945, one of the largest and most admired multinational federations of companies.
- Job Details
- Should be able to Develop and write telecom network performance data parsers in for multiple file formats (XML, ASN.1) & convert into an acceptable Parquet columnar output.
Knowledge & experience of Iceberg Table format is preferred.
- Implement Lambda functions triggered by S3 event notifications via SQS queues for high‑throughput parsing.
- Build & implement code for robust error handling with retries, DLQ, and SNS notifications
- Build a schema management in line with vendor mapping files & write code for updating the schema dynamically with addition of new counters to an extent of automating it.
- Support schema deployment, upgrades, and rollback processes not including user configurations for ignoring counters, grouping overrides, dimension preservation, and counter name mappings.
- Handle schema upserts and merges to simultaneously insert new records and update existing ones.
- Own the end‑to‑end lifecycle of schemas including versioning, updates, and retirement.
- Thorough knowledge of writing building audit logging and metadata in Dynamo DB & forwarding the details via Cloud Watch
- Should be able to understand the 15 / 60 PM counter granularity and able to write codes for aggregation
- Build and optimize distributed data processing jobs using Py Spark on AWS EMR with deployment of these jobs on Data warehouse platforms like Amazon Redshift & Click House
- Work with Amazon MSK (Kafka) for real‑time data ingestion and streaming.
- Automate pipeline orchestration with AWS Step Functions.
- Ensure schemas are aligned with vendor (OEM) specifications and business requirements.
How To Apply
It's easy to apply online; you just need a copy of your up-to-date CV and to follow the step-by step process.
Don't worry if you need to make changes - you'll have the opportunity to review and edit your work on the final page, or you can also share resume directly to provided email address.
We look forward to receiving your application!
Tech Mahindra is an Equal Employment Opportunity employer.
We promote and support a diverse workforce at all levels of the company.
All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability.
All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions.
Senior AWS Data Engineer in Slough 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.
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We think this is how you could land Senior AWS Data Engineer in Slough
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We think you need these skills to ace Senior AWS Data Engineer in Slough
Some tips for your application 🫡
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. Don’t forget to include links to any GitHub repositories if applicable!
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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!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Tech Mahindra!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d 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.
