Data Engineer
Description For Data Engineer
ShyftLabs, a dynamic data product company founded in 2020, is seeking a skilled Data Engineer to join their team. The company has established itself as a trusted partner for Fortune 500 companies, delivering innovative digital solutions that drive business growth.
The role demands a professional with strong expertise in data engineering, particularly in Master Data Management (MDM) systems. You'll be responsible for managing data infrastructure, optimizing data models, and ensuring system efficiency using tools like Snowflake and AWS services. The position involves working with various stakeholders to resolve data-related challenges and maintain high-quality data standards.
The ideal candidate should have at least 3 years of experience in data engineering, with strong proficiency in SQL, Python, and ETL processes. Knowledge of AWS services and data privacy regulations is crucial. The role offers an excellent opportunity to work with cutting-edge technologies while solving complex data challenges for major enterprises.
ShyftLabs offers a competitive compensation package, including comprehensive insurance benefits and significant investment in employee development. The hybrid work environment provides flexibility while maintaining collaborative opportunities with the team. This role is perfect for a data professional who wants to make a significant impact in a growing company while working with Fortune 500 clients.
Responsibilities For Data Engineer
- Act as first point of contact for data issues in MDM system
- Investigate and resolve data-related issues
- Coordinate with Product Manager, QA Lead, and Technology Lead
- Build and optimize data models for Snowflake tables
- Write complex SQL queries for data manipulation
- Work with AWS resources (CloudWatch, Lambda, SQS, Kinesis Streams)
- Maintain documentation and knowledge base
- Monitor system logs and alerts
- Participate in team meetings and process improvements
Requirements For Data Engineer
- Bachelor's degree in Computer Science, Information Technology, or related field
- Minimum 3 years of experience in data engineering
- Strong expertise in SQL and database query languages
- Experience with data warehousing solutions and RDBMS
- Proficiency in ETL tools and data pipeline construction
- Familiarity with AWS services
- Excellent programming skills in Python
- Understanding of data privacy regulations (DSAR and CCPA)
- Strong communication and problem-solving skills
Benefits For Data Engineer
- Competitive salary
- Strong insurance package
- Learning and development resources
