At a Glance
- Tasks: Design and develop data solutions using cutting-edge technologies like Quantexa and Spark.
- Company: Join HCLTech, a global leader in technology with a people-first culture.
- Benefits: Competitive salary, career growth, and a supportive work environment.
- Other info: Dynamic Agile environment with opportunities for professional development.
- Why this job: Make an impact in data engineering while working on innovative projects.
- Qualifications: Experience with Quantexa, Spark, Python, and big data ecosystems.
The predicted salary is between 63000 - 77000 £ per year.
Job Summary
Selection SR for Ramya VP - Data Engineer with Quantexa
Key Responsibilities
- Design and develop solutions using Quantexa Decision Intelligence Platform
- Build data ingestion, transformation, and ETL pipelines using Spark/PySpark
- Work on entity resolution, network analytics, and graph-based data models
- Integrate multiple structured/unstructured data sources for analytics use cases
- Ensure data quality, validation, and governance standards
- Optimize performance of large-scale data workflows
- Collaborate with business analysts and stakeholders for requirement gathering
- Support deployment, testing, and production release activities
- Work in Agile environment with sprint-based delivery
Skill Requirements
- Hands-on experience with Quantexa platform / Decision Intelligence
- Strong in Apache Spark / PySpark
- Proficiency in Python / Scala
- Experience in ETL, Data Engineering, Data Warehousing
- Knowledge of entity resolution, graph analytics, link analysis
- Experience working with large datasets (Big Data ecosystem – Hive/HDFS)
Other Requirements
AWS Data Technical Specialist - Glue, SQL, Python, DevOps, Snowflake in London employer: HCL Technologies Limited
As a Track Lead in MDM Intune, you will join a forward-thinking organisation that prioritises employee growth and development, offering access to higher education programmes and skills resources. Our collaborative work culture fosters innovation and ensures that your contributions directly enhance the stability and security of our endpoint ecosystem, impacting nearly all users across the enterprise. With generous personal time off and family benefits, we are committed to supporting a balanced and fulfilling work-life experience.
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We think this is how you could land AWS Data Technical Specialist - Glue, SQL, Python, DevOps, Snowflake in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace AWS Data Technical Specialist - Glue, SQL, Python, DevOps, Snowflake in London
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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Craft a Tailored Cover Letter:For a full-time role at HCL Technologies Limited, 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 you’re 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 HCL Technologies Limited. 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 HCL Technologies Limited
✨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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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨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 HCL Technologies Limited!
✨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.
