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À propos
6+ months Rate Range: $45.00 - $48/hour on W2/ C2C (All inclusive)
Job Description: We are seeking a highly skilled Senior Data Engineer to design, develop, and optimize scalable data pipelines and data integration solutions. The ideal candidate will have strong expertise in SQL, Python, PySpark/Snowpark, Snowflake, AWS, and modern data orchestration frameworks. This role requires hands-on development, performance tuning, data modeling, and collaboration across multiple teams to support enterprise data initiatives.
Key Responsibilities • Analyze, design, develop, and deploy data pipelines across various environments. • Develop and optimize complex SQL queries for large-scale datasets. • Convert and modernize SQL-based logic into PySpark/Snowpark implementations. • Build scalable data processing solutions with a focus on performance and reliability. • Extract, transform, and load data from multiple sources while ensuring data quality and efficiency. • Design and implement data integration and orchestration workflows. • Collaborate with cross-functional teams to deliver end-to-end data solutions. • Understand existing Java and SQL-based applications and enhance functionality as required. • Implement and support Change Data Capture (CDC) processes. • Participate in troubleshooting, root cause analysis, and production support activities. • Contribute to API integration and data service development initiatives.
Required Skills • Strong SQL development experience with complex query optimization. • Hands-on experience with Python, PySpark, and Snowpark. • Experience with data science libraries such as Pandas and NumPy. • Strong understanding of data pipeline architecture and ETL/ELT processes. • Hands-on experience with Snowflake. • Experience with DBT (Data Build Tool). • Experience with AWS services including S3 and EC2. • Hands-on experience with Linux commands and shell scripting. • Experience with workflow orchestration tools and scheduling platforms such as Autosys. • Knowledge of CDC (Change Data Capture) concepts and implementation. • Strong analytical and problem-solving skills. • Experience working as an individual contributor in an agile environment.
Preferred Skills • Talend development experience. • Hands-on Java development experience. • Exposure to Angular. • Understanding of REST APIs and API design principles. • Experience with enterprise-scale data platforms and cloud-native architectures.
Qualifications • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. • 6+ years of experience in Data Engineering, Big Data, or Data Platform development. • Experience working with large-scale enterprise data environments.
Company Benefits & Culture Competitive salary and benefits package Supportive and collaborative work environment For immediate consideration please click APPLY to begin the screening process with Alex. Opportunities for professional growth and development
Compétences linguistiques
- English
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