Data Engineer

Position:

Location:

Experience:

We are looking for a skilled Data Engineer responsible for building ETLs, data pipelines, and setting automation schedules for data collection. The ideal candidate will have expertise in Python for applying transformation techniques, and proficiency in database management systems such as SQL, MySQL, and MongoDB. Experience with GCP cloud services, including BigQuery and Cloud Functions, is essential.

Responsibilities:

• Assemble large, complex datasets that meet functional and non-functional business requirements.
• Identify, design, and implement internal process improvements, including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
• Build the necessary infrastructure for optimal extraction, transformation, and loading (ETL) of data from various sources using GCP/Azure and SQL technologies.
• Develop analytical tools to utilize the data pipeline, providing actionable insights into key business performance metrics such as operational efficiency and customer acquisition.
• Collaborate with stakeholders (data, design, product, and executive teams) to address data-related technical issues.
• Understand visualization requirements and translate them into actionable data pipelines.

Qualifications and Skills:

• Strong expertise in SQL and Python.
• Knowledge of both relational (e.g., SQL, BigQuery) and non-relational (e.g., MongoDB) database management systems.
• Experience with GCP cloud services, including BigQuery and Cloud Functions.