Sage Metrics Services · 8 hours ago
Sr Data Engineer - New York, Santa Monica,Seattle
Sage Metrics Services is seeking a Senior Data Engineer to contribute to the company’s success by partnering with various teams to design and build data pipelines for measuring KPIs and metrics. The role involves collaborating with stakeholders, identifying data sources, and implementing automated data quality checks.
Responsibilities
Partner with technical and non-technical colleagues to understand data and reporting requirements
Work with engineering teams to collect required data from internal and external systems
Design table structures and define ETL pipelines to build performant data solutions that are reliable and scalable in a fast growing data ecosystem
Develop automated data quality checks
Develop and maintain ETL routines using ETL and orchestration tools such as Airflow
Implement database deployments using tools like SchemaChange
Perform ad hoc analysis as necessary
Perform SQL and ETL tuning as necessary
Qualification
Required
Airflow, Data Bricks, SQL, Python, Spark, Snowflake
Experience with at least one cloud platform (AWS / Azure / GCP)
Strong analytical and problem-solving skills
Strong communication skills, ability to collaborate with cross-functional teams & interact with stakeholders
Familiarity with Agile Scrum principles and ceremonies
Data Engineering skills using - Complex or Advanced SQL queries
Python
Spark
Snowflake
Databricks
Airflow or Prefect
8+ years of relevant data engineering experience
Bachelor's/Master's degree in Computer Science, Engineering, or related field
Preferred
Data Modeling (e.g., Dimensional Modeling)
Experience working with Kafka
Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions, etc.) & Docker containers
Exposure to monitoring tools like Datadog
Company
Sage Metrics Services
Sage Metrics Services is a human resource consulting and recruitment agency.
Funding
Current Stage
Early StageCompany data provided by crunchbase