Senior Data Engineer

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 Data Quality checks.
• Develop and maintain ETL routines using ETL and orchestration tools such as Airflow.
• Implement database deployments using tools like Schema Change.
• Perform ad hoc analysis as necessary.
• Perform SQL and ETL tuning as necessary.

Requirements:

• 5+ years of relevant data engineering experience.
• Strong understanding of data modelling principles, including Dimensional modeling data normalisation principles.
• Good understanding of SQL Engines and able to conduct advanced performance tuning.
• 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

Preferred Qualifications:

• 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 with programming languages (e. g., Python, Pyspark), preferred.
• 1+ years of experience with data orchestration/ETL tools (Airflow, NiFi), preferred.
• Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow.
• Bachelor's Degree in computer science, information systems, or a related field or equivalent work experience.