Data Engineer
HCLTech
HCLTech is a global 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.
We are looking for strong Data Engineers with experience in building scalable data pipelines and working on modern cloud-based data platforms. The candidate should have hands-on experience in Apple’s preferred data engineering stack and should be comfortable working in a fast-paced Agile environment.
Key Responsibilities:
- Design, develop, and maintain scalable ETL/data pipelines
- Build and optimize batch and streaming data processing workflows
- Work closely with cross-functional teams including Data Analysts, Product Teams, and Platform Engineers
- Ensure high data quality, reliability, and performance across pipelines
- Troubleshoot production issues and perform performance tuning
- Participate in Agile ceremonies and collaborate with distributed teams
Required Skills:
- Strong experience in Python programming
- Hands-on experience with Apache Spark / PySpark
- Experience with Apache Airflow for workflow orchestration
- Strong SQL skills and data modeling knowledge
- Experience working with large-scale distributed data processing systems
- Exposure to cloud platforms such as GCP / AWS
- Experience with CI/CD and version control tools
- Good understanding of data warehousing and big data concepts
Preferred Skills:
- Experience with BigQuery, Iceberg, or Data Lake architectures
- Exposure to Kafka or streaming technologies
- Experience working in enterprise-scale data platforms
- Familiarity with Agile/Scrum methodologies
To learn more about how we process your personal data, please refer to the HCLTech Candidate Data Privacy Notice:
Vacante publicada el 2 días atrás
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