Remote Senior Data Engineer

Summary

The job description is for a Data Engineer role in Margera, a boutique analytics agency that helps enterprise companies grow through data and analytics. The role involves participating in all aspects of data platform lifecycle, curating complex datasets, designing and building ETL pipelines, working collaboratively within cross-functional teams, implementing solutions on the Cloud, and using tools and technologies like Python, SQL, Google BQ, Data Studio, ML libraries.

Requirements

• Min 3 years of relevant work experience
• University degree in Software Engineering, Computer Science or similar
• Working experience using python on data and data-related libraries (eg. TensorFlow, NumPy, SciPy, Pandas, etc)
• Experience and expertise with relational databases for data handling and query optimisation
• Experience on bringing data pipelines into production
• Experience of Data modeling, schema definition, data warehouse design, data lake concepts and practices
• Extensive hands on experience in processing large amount of data from various sources in a programmatic way
• Experience with latest software engineering practices (source code management - git, integration and performance testing, CI/CD)

Responsibilities

• Participating in all aspects of data platform lifecycle
• Curating complex datasets to prepare for either ML modeling or to be used for analytical work
• Designing and building ETL pipelines to include data from a wide variety of sources
• Work collaboratively within cross-functional Teams (Analysts, Account Manager, Client Managers)
• Implement solutions on the Cloud (we work on all 3 Clouds, AWS/GCP/Azure)
• Work with tools and technologies such as Python, SQL, Google BQ, Data Studio, ML libraries

Preferred Qualifications

• Experience with ML models
• Understanding of online advertising space

Benefits

• Competitive compensation
• Monthly bonus
• Discretionary annual salary increases
• Internal trainings either product specific (like Google Analytics, Microsoft PowerBI) or data in general (SQL, AI/ML foundations)
• Tech equipment (laptop and big screen)