EXL
10,000+ employees
đź’° $2M Venture Round on 2015-01
Choosing a digital partner is about more than capabilities — it’s about collaboration and character.
Data Engineer
đź•’ May 8
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EXL
10,000+ employees
đź’° $2M Venture Round on 2015-01
Choosing a digital partner is about more than capabilities — it’s about collaboration and character.
đź“‹ Description
• Design, develop, and maintain scalable and reliable data pipelines • Build and optimize ETL/ELT processes to ingest data from multiple sources • Develop and manage data models in BigQuery to support analytics and reporting • Implement automated workflows and scheduling using Airflow • Ensure data quality, integrity, and performance across pipelines • Collaborate with cross-functional teams to gather requirements and deliver data solutions • Apply CI/CD best practices to support efficient and reliable deployments • Troubleshoot and resolve data pipeline and performance issues
🎯 Requirements
• Graduate in Data Science, Computer Science, Statistics, or a related field. • 3-4 years of experience in data science or data analysis. • Strong programming experience in Python and SQL. • Hands-on experience with Google Cloud Platform (GCP) services. • Expertise in BigQuery for data warehousing, performance tuning, and cost optimization. • Experience with ETL/ELT frameworks and large-scale data pipeline development. • Workflow orchestration using Apache Airflow. • CI/CD implementation for data pipelines using tools like Git, Jenkins, or Cloud Build. • Solid understanding of data modeling, partitioning, and schema design. • Experience with cloud storage, data validation, and monitoring. • Knowledge of containerization (Docker) and basic DevOps practices is a plus.
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