Senior Data Engineer
3 weeks ago
As a Senior Data Engineer at HyrEzy Talent Solutions, you will have the opportunity to work with leading professionals and build your professional skills in various analytical techniques and industry specialties. Our analytics and automation service helps organizations navigate business risks and opportunities, and we apply our experience in ongoing business operations and corporate lifecycle events to help clients become stronger and more resilient.
Key Responsibilities
- Develop data engineering and analytics solutions tailored to unique business challenges.
- Collaborate with clients, technology partners, and your team to deliver custom, scalable data solutions to clients.
- Ensure high standards of data quality and client satisfaction.
Requirements
- 6-8 years of data engineering experience in programming and building large-scale data/analytics solutions operating in production environments.
- Proven experience in managing multiple, complex data engineering projects simultaneously.
- Strong problem-solving skills and the ability to handle complex, ambiguous situations.
- Exceptional project management skills, with experience in Agile methodologies.
- A client-service mindset and a desire to take on tough and challenging projects
- Effective communication skills, both written and verbal
- Exceptional attention to detail and ability to work effectively with minimal supervision
- Ability to work effectively across functions and levels; comfort collaborating with teammates in a virtual environment
Preferred Technologies
- Data analytics tools: SQL, Python, Snowflake
- Data Engineering tools: SSIS, Matillion, dbT
- CDC tools: Fivetran, STRIIM
- Data visualization tools: Tableau, Power BI
- Cloud platform: AWS, Azure
- Experience with CI/CD pipelines, automation tools, and DevOps practices.
Qualifications
- Bachelor's Degree in Computer Science, Management Information Systems, Engineering, Data Science, Statistics, Mathematics, or related disciplines
- Certifications in any analytics/visualization tools or cloud platforms (e.g. Snowflake, Snowpro, AWS Data Analytics Specialty, Azure Data Engineer / Analyst) are a plus
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