What are the responsibilities and job description for the Full Time Data Engineer With 15 Years+ Exp. position at SwankTek Inc.?
They are looking for senior data engineers with expertise in cloud technologies, data architecture, and data warehousing. The key technical skill sets required for this role include:
1. Experience in designing and implementing data warehousing solutions.
2. Proficiency in either GCP or AWS cloud environments, though familiarity with Azure is not as highly favored.
3. Proficiency in programming languages such as Python (preferred) or R, as well as experience in building APIs and working with Kubernetes or containerization.
4. Familiarity with modern ETL tools like Airbyte, Matillion, or Fivetran.
Additionally, strong communication skills are important. While not mandatory, experience in digital advertising technology is highly desirable. Candidates should have minimum 14 years of relevant experience, but more senior candidates are welcome as long as they are hands-on. The role is a full-time opportunity based preferably in New York, with the flexibility to work three to five days in the office based on team requirements. Only green card holders and US citizens are eligible, and experience with open-source or enterprise ETL tools like Informatica and Talend is beneficial.
90 Park Avenue, New York, NY 10174 & 185 US Highway 46, Fairfield, NJ
At-a-Glance:
Are you ready to build your career by joining one of the world’s largest outdoor media company? If so, our client is hiring a Senior Data Engineer.
Required:
15 years of:
- Experience designing and implementing data warehouse solutions, focusing on scalability and performance.
- Experience writing complex SQL queries and developing robust ETL/ELT pipelines to transform and integrate data.
- Programming experience in languages like Python, focusing on building scalable and efficient solutions.
- Extensive experience in building and optimizing APIs, containerization, and orchestration with Kubernetes to ensure scalable, high-performance data systems.
- Hands-on experience with Cloud data warehouses (ideally with Snowflake, Google BigQuery, or AWS Redshift).
- Proficient in cloud technologies such as GCP or AWS. (Not Azure experience)
- Experience leading and collaborating with agile teams, utilizing tools like Jira and Confluence, to drive user-centered and iterative development processes.
