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We are seeking a skilled Data Engineer with strong experience in ETL development, Snowflake, and Python to join our team. This role will be responsible for designing, building, and maintaining scalable data pipelines and cloud-based data solutions that support analytics, reporting, and business decision-making. The ideal candidate has hands-on expertise in modern data engineering practices, strong problem-solving abilities, and experience working with structured and unstructured data in fast-paced environments.
Job Responsibility
Design, develop, and maintain robust ETL/ELT pipelines for ingesting, transforming, and loading data from multiple sources
Build and optimize data solutions within Snowflake
Develop reusable scripts and workflows using Python
Integrate data from APIs, databases, flat files, and third-party platforms
Monitor, troubleshoot, and enhance data pipeline performance, reliability, and scalability
Collaborate with analytics, engineering, and business teams to understand data requirements
Ensure data quality, integrity, governance, and security across platforms
Support data modeling, warehouse design, and performance tuning
Document technical designs, workflows, and operational processes
Participate in code reviews, testing, and deployment activities
Requirements
Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience
3+ years of experience in data engineering or ETL development
Strong hands-on experience with Snowflake
Proficiency in Python for data processing and automation
Experience developing and supporting ETL/ELT workflows
Strong SQL skills and experience with relational databases
Familiarity with cloud data platforms and modern data warehouse architecture
Experience with data integration, transformation, and orchestration tools
Strong analytical, troubleshooting, and communication skills
What we offer
Medical, vision, dental, and life and disability insurance