Senior Data Engineer

Your Impact and Mission:

Lead the Data Engineering domain , serving as the inaugural Data Engineer for the company.

Establish a robust data architecture to facilitate efficient and seamless data consumption.

Gather data events and implement strategies for their collection.

Construct and enhance high-performance ETL processes, incorporating pertinent big data technologies and tools such as Airflow and Databricks.

Develop, implement, and maintain change control and testing processes.

Design and construct monitoring tools to ensure the efficiency and reliability of data processes.

Collaborate closely with Data Scientists, Analysts, Data PMO, and R&D teams to identify and address data requirements.

Your Experience and Skills:

Hold a BA/BSc in Math, Statistics, Information Systems, or a related quantitative field.

4+ years of experience in Data Engineering roles.

Deep understanding and experience with data lakes in the cloud

Demonstrate proficiency in Python and the Big Data stack, including Spark, Java, and Scala.

Exhibit extensive knowledge and experience in managing complex ETL processes, data integration, and data warehousing.

Hands-on experience with distributed data technologies such as Airflow, Spark, Presto, DBT, etc.

Embrace a strong sense of ownership, possess excellent organizational skills, and function effectively as a self-learner and team player