Tredence Inc. is a company focused on data engineering and analytics, and they are seeking an Associate Manager to oversee end-to-end delivery in data engineering projects. The role involves managing teams, optimizing data pipelines, and working cross-functionally to meet business requirements.
Responsibilities:
- Manage end to end delivery by Investigating problem areas, working cross-functionally with product manager & other stakeholders
- Follow the Agile development methodology; think strategically and execute methodically
- Develop and manage capacity and growth projection forecasts of the environment within budgets
- Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements
- Drive optimization, testing and tooling to improve quality of solutions
- Manage teams that build and operate high volume distributed systems in a SaaS environment
- Great at devising efficient processes that increase velocity and quality
- Managing and administering Databricks environment include managing workspace setup, user permissions, cluster configuration, security policies, and cost optimization
Requirements:
- Bachelor's degree (or foreign equivalent) in Data Science, Information Technology, or related field
- Five (5) years of experience in the job offered or a related position
- Demonstrable knowledge of: Python
- Demonstrable knowledge of: SQL
- Demonstrable knowledge of: Databricks
- Demonstrable knowledge of: Snowflake
- Demonstrable knowledge of: Azure Data Lake Storage
- Demonstrable knowledge of: Azure Data Factory
- Demonstrable knowledge of: Power BI
- Demonstrable knowledge of: Apache Spark
- Demonstrable knowledge of: Apache Airflow
- Demonstrable knowledge of: GitHub CI/CD
- Demonstrable knowledge of: Kubernetes
- Travel to unanticipated client locations throughout the U.S. approximately 30%, as required
- May telecommute from any location within the U.S