At a Glance
- Tasks: Design and develop data pipelines for real-time processing and ensure data quality.
- Company: HCLTech, a global leader in technology with a diverse workforce.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement opportunities.
- Why this job: Join a dynamic team and work on impactful data solutions across various industries.
- Qualifications: Experience with Python, SQL, and data warehousing concepts required.
The predicted salary is between 50000 - 70000 € per year.
HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services.
Mandatory Required Skills:
- Python / PySpark / Scala
- SQL and data warehousing concepts
Preferred / Desired Skills:
- Design and build data pipelines (ETL/ELT)
- Manage data infrastructure (databases, lakes, warehouses)
- Handle large-scale data processing and transformation
- Ensure data quality, validation, and reliability
- Integrate data from multiple systems/APIs
Detailed Job Description:
- Design and develop end-to-end data pipelines (ETL/ELT) for batch and real-time processing.
- Build and maintain data ingestion frameworks from multiple data sources.
- Develop scalable data models and data warehouse solutions.
- Implement workflow orchestration (Airflow / Cloud Composer) including retries, dependencies, and monitoring.
- Ensure data quality, validation, and governance mechanisms.
- Design and manage streaming pipelines (Kafka / Pub-Sub) for near real-time data processing.
- Optimize data pipelines for performance, scalability, and cost efficiency.
- Monitor, troubleshoot, and enhance pipeline reliability and observability.
- Collaborate with business, analytics, and ML teams to translate requirements into data solutions.
Data Engineer employer: HCLTech
HCLTech is an exceptional employer for Data Engineers, offering a dynamic work environment that fosters innovation and collaboration across diverse teams. With a strong commitment to employee growth, HCLTech provides extensive training opportunities and career advancement pathways, all while being part of a global network that values diversity and inclusion. Located in a vibrant tech hub, employees enjoy a culture that encourages creativity and the chance to work on cutting-edge projects in digital, cloud, and AI technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with data engineers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, ETL processes, and any projects you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss Python, SQL, and data warehousing concepts in detail. Practise common interview questions and maybe even do some mock interviews with friends.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented data engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the skills and experiences mentioned in the job description. Highlight your expertise in Python, SQL, and data warehousing concepts, as well as any relevant projects you've worked on.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how your background aligns with our needs. Share specific examples of your experience with ETL/ELT processes and data pipeline management.
Showcase Your Projects:If you've built data pipelines or worked on large-scale data processing, don’t hesitate to include these projects in your application. We love seeing real-world applications of your skills!
Apply Through Our Website:For the best chance of getting noticed, make sure to apply through our website. It’s the easiest way for us to keep track of your application and ensure it reaches the right people.
How to prepare for a job interview at HCLTech
✨Know Your Tech Stack
Make sure you’re well-versed in Python, PySpark, Scala, and SQL. Brush up on data warehousing concepts too! Be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Pipeline Skills
Prepare examples of data pipelines you've designed or built. Talk about the ETL/ELT processes you've implemented and how you ensured data quality and reliability. Real-world examples will impress!
✨Understand the Business Context
Familiarise yourself with the industries HCLTech serves, like Financial Services and Healthcare. This will help you connect your technical skills to real-world applications during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about their data infrastructure and the tools they use, like Airflow or Kafka. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
