Job description

Position is Remote

Summary: The Senior Data Engineer will contribute to the Company’s success by partnering with business, analytics, and infrastructure teams to design and build datasets to facilitate measuring marketing campaign effectiveness. Collaborating across disciplines, they will identify internal/external data sources to design table structure, define ETL strategy & 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 strategy to build performant Data solutions that are reliable and scalable in a fast-growing data ecosystem.

· Develop Data Quality checks and visualizations/dashboards

· Develop and maintain ETL routines using ETL and orchestration tools such as Airflow and Nifi

· Implement database deployments using tools like Liquibase

· Perform ad hoc analysis as necessary.

· Perform SQL and ETL tuning as necessary.

· Develop and maintain Dashboards/reports using Looker

Qualifications:

· Degree in an analytical field such as economics, mathematics, or computer science, required.

· 3+ years of relevant data engineering experience, required.

· 2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, required.

· 2+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift), required.

· 1+ years of experience programming languages (e.g., Python, Pyspark), preferred.

· 1+ years of experience with data orchestration/ETL tools (Airflow, NiFi), preferred.

· Strong understanding of data modelling principles including Dimensional modelling, data normalization principles.

· Good understanding of SQL Engines and able to conduct advanced performance tuning.

· Familiarity with data exploration / data visualization tools like Tableau, Looker, Chartio.

· Ability to think strategically, analyse and interpret market and consumer information.

· Strong communication skills – written and verbal presentations.

· Excellent conceptual and analytical reasoning competencies.

· Comfortable working in a fast-paced and highly collaborative environment.

· Familiarity with Agile Scrum principles and ceremonies

HM Manager Intake:

· Team uses Airflow. Snowflake, AWS, backend is snowflake, will be working with subscriber data, subscriber metrics ultimately for the execs for data diagrams. also looking for a "can do" attitude

· When sourcing candidates please make sure they have Snowflake experience as well both Airflow and Snowflake experience combined.

Job Type: Full-time

Benefits:

• 401(k)
• Dental insurance

Schedule:

• 8 hour shift

Experience:

• Machine learning: 2 years (Preferred)

Work Location: Remote

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