10 sep
|
HCLTech
|
México
HCLTech is a general technology company, home to more than 223,000 people in 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. Consolidated revenues as of 12 months ending September 2024 totaled $13.7 billion.
Senior Data Engineer
Location: Remote
Experience: 5+ years
Key Responsibilities
- Design, build, and maintain scalable data pipelines and data products.
- Develop ETL/ELT solutions using Databricks, Spark, and cloud-based technologies.
- Collaborate with Business, Risk, Product, and Engineering teams to deliver data-driven solutions.
- Ensure data quality, monitoring, reliability, and performance across platforms.
- Support migration and modernization initiatives into Databricks and cloud-native environments.
- Create and optimize datasets for analytics, reporting, and risk management.
- Mentor junior engineers and contribute to engineering best practices.
Required Skills
- Strong experience in Data Engineering and large-scale data processing.
- Hands-on expertise with Databricks, Apache Spark, PySpark, SQL, and Python.
- Experience building and maintaining ETL/ELT pipelines.
- Knowledge of cloud data platforms and storage technologies.
- Understanding of data modeling and analytics data structures.
- Experience with data quality, testing, monitoring, and CI/CD practices.
- Familiarity with data formats such as Parquet, Avro, and ORC.
- Experience with workflow orchestration tools such as Airflow.
- Strong problem-solving and communication skills.
Nice to Have
- Java application development experience.
- Previous experience in Risk, Financial Services, or Lending domains.
Must-have stack: Databricks + PySpark + Python + SQL + Airflow + Cloud Data Platforms. To learn more about how we process your personal data, please refer to the HCLTech Candidate Data Privacy Notice:
. Candidate Data Privacy Notice | HCLTech
📌 Data Engineer (México)
🏢 HCLTech
📍 México