Data Engineer II
About The Position
We are seeking a highly skilled and talented Intermediate level Data Engineer with strong hands-on proficiency in a cloud environment to develop and maintain modern, scalable data platforms. The ideal candidate should be a good team player with 3-5 years of experience in data engineering developing scalable and efficient ETL pipelines processing different formats of data (structured, semi-structured and unstructured) with deep hands-on expertise in Snowflake and Matillion and preferably some recent experience with Snowflake Cortex AI or Matillion Maia. This role requires curiosity, ability to thrive in a fast and evolving environment, effective communication, and deep expertise in developing, and deploying scalable, and high-performance cloud-native data solutions, under the guidance of architects, and team leaders.
Requirements
- Bachelor’s degree in computer science, Engineering, or related field.
- 3-5 years of experience in Data Engineering(Informatica/Talend/Matillion/SSIS), with at least 2 years in Snowflake. Experince with Matillion preferred,
- Proficiency in Python / PySpark, and SQL.
- Strong hands-on experience building data pipelines
- Experience working with different data sources (structured, semi-structured, and unstructured)
- Curious and growth mindset, detail oriented, strong problem-solving, and excellent verbal and written communication skills
- Passion for staying updated with the latest cloud and AI/ML technologies and ability to evaluate and adopt emerging tools and methodologies.
Nice To Haves
- Matillion data engineering certifications such as: Matillion ETL Foundations Certification, Matillion Data Productivity Cloud Foundations Certification
- Snowflake certifications such as: SnowPro Core Certification, SnowPro Advanced: Data Engineer
Responsibilities
- Under the guidance from architect/lead, actively involves in requirement gathering from customers, ideating, and implementing the technical solutions
- Collaborates closely with architects/leads and other stakeholders to identify the appropriate tools/technologies and implement the data management solutions
- Develop scalable data ingestion, transformation, and orchestration pipelines following modern principles and industry best practices for data lake or data warehouse / analytics solutions in an on-prem or cloud native architecture
- Builds all data management/analytics solutions following applicable Info-sec, quality control, and governance/maintenance standard
- Complies with all internal and external (project specific) operational, compliance and governance processes.
- Implement CI/CD pipelines for data and analytics workloads
Benefits
- Medical, Dental, and Vision
- Critical Illness, Accident, and Hospital
- 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
- Life Insurance (Voluntary Life and AD&D for employee and dependents)
- Short and Long-Term Disability
- Health Spending Account (HSA)
- Transportation Benefits
- Employee Assistance Program
- Time Off/Leave (PTO, Vacation or Sick Leave)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
