Company Overview :

Muoro is a rapidly growing data analytics and solutions company empowering businesses across various sectors, including finance, healthcare, and retail, to make data-driven decisions.

We specialize in building robust data platforms and providing actionable insights that drive business growth and efficiency. Our collaborative and innovative culture fosters continuous learning and development, making Muoro a great place to advance your career in data engineering.

Role Overview :

As a Sr. Data Engineer at Muoro, you will be instrumental in designing, building, and maintaining our data infrastructure. You will collaborate closely with data scientists, analysts, and other engineers to develop scalable and reliable data pipelines that support our analytics and reporting needs. Your expertise will be crucial in ensuring data quality, security, and governance across the organization, ultimately enabling us to deliver impactful insights to our clients and stakeholders.

Key Responsibilities :

- Design and implement scalable and robust data pipelines using ETL processes to ingest, transform, and load data from various sources into our data warehouse.

- Develop and maintain data models that support business requirements and ensure data consistency and integrity.

- Build and optimize data solutions using Azure Databricks and Spark/PySpark for large-scale data processing and analysis.

- Implement and enforce data governance policies and procedures to ensure data quality, security, and compliance.

- Collaborate with data scientists and analysts to understand their data needs and provide them with the necessary data infrastructure and tools.

- Monitor and troubleshoot data pipeline performance, identify bottlenecks, and implement solutions to improve efficiency and reliability.

- Contribute to the development of data architecture standards and best practices.

- Mentor junior data engineers and provide technical guidance.

Required Skillset:

- Demonstrated ability to design, develop, and maintain complex data pipelines using ETL tools and techniques.

- Strong proficiency in SQL and experience working with relational databases.

- Hands-on experience with Python and Spark/PySpark for data processing and analysis.

- Solid understanding of data modeling principles and experience designing data warehouses and data marts.

- Experience with Azure Databricks and other Azure data services.

- Knowledge of data governance principles and practices.

- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

- Ability to solve complex problems and think critically about data-related challenges.

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

- 6-10 years of experience in data engineering or a related role.