At a Glance
- Tasks: Design and develop data solutions using Quantexa and build ETL pipelines with Spark.
- 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 Agile environment with a focus on innovation and career advancement.
- Why this job: Join a dynamic team and work on cutting-edge data projects that make a real impact.
- Qualifications: 10-15 years of experience in data engineering and proficiency in Python or Scala.
The predicted salary is between 60000 - 80000 £ 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.
Experience Level Required in Years: 10 - 15 years
Mandatory Required Skills:
- 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)
Detailed Job Description:
- 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
Data Engineer- Quantexa employer: HCLTech
HCLTech is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives and employees are empowered to grow their careers. With a strong focus on professional development and collaboration, particularly in the vibrant tech hub of [location], HCLTech offers unique opportunities to work with cutting-edge technologies like the Quantexa platform, ensuring that every team member can contribute to impactful projects while enjoying a supportive environment.
