Data Engineer
hace 6 días
We are seeking a highly skilled Data Engineer to join our dynamic team at Stateside, an international leader in technology innovation.
The ideal candidate will be responsible for developing, optimizing, and maintaining data pipelines and infrastructure that support our data-driven decision-making processes. This role involves working with various distributed data processing systems, cloud platforms, and orchestration tools to ensure our data systems are robust, scalable, and efficient.
Key Responsibilities:
- Data Pipelines: Design, build, and maintain data pipelines using Hive, Redshift, Snowflake, Python, and pandas.
- Cloud Infrastructure: Manage data systems on GCP, AWS, or Azure.
- Workflow Orchestration: Automate workflows with Airflow or Prefect.
- Data Visualization: Create dashboards and reports using tools like Sigma, Looker, Tableau, or Datastudio.
Required Skills and Qualifications:
- Proficient in Python, SQL, and pandas.
- Experience with distributed data systems (Hive, Redshift, Snowflake).
- Knowledge of cloud platforms (GCP, AWS, Azure).
- Familiarity with orchestration tools (Airflow, Prefect).
- Experience with BI/Visualization tools (Sigma, Looker, Tableau, Datastudio).
Preferred Skills (Bonus):
- Experience with DBT, Terraform, and machine learning techniques.
- Familiarity with product analytics tools (Amplitude, Google Analytics, Mixpanel).
Stateside is an equal opportunity employer dedicated to a policy of non-discrimination in employment on any basis. We offer a competitive salary of $120,000 - $180,000 per year, depending on experience, as well as a range of benefits including health insurance, 401(k) matching, and professional development opportunities.
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