As a Data Engineer specializing in Snowflake, you will play a pivotal role in designing, implementing, and maintaining the data architecture for our organization.
Your expertise in Snowflake, a cloud-based data warehousing platform, will be essential in optimizing data workflows, ensuring data quality, and enabling efficient data analysis and reporting.
Responsibilities include collaborating with cross-functional teams to understand data requirements and designing scalable and efficient data transformations using Snowflake.
You will develop and maintain the data architecture, ensuring it aligns with business goals and industry best practices.
You will configure and optimize Snowflake environments to meet performance and scalability requirements.
Implementing and maintaining data pipelines and ETL processes using Snowflake features and functionalities will be part of your role.
You will design and implement data models that support the analytical needs of the organization.
Monitoring and optimizing query performance in Snowflake, identifying and addressing bottlenecks in data processing will be required.
You will integrate data from various sources into Snowflake, ensuring data consistency, accuracy, and timeliness.
Implementing and enforcing security measures to protect sensitive data within Snowflake and ensuring compliance with data governance requirements will be essential.
You will create and maintain comprehensive documentation for data engineering processes, Snowflake configurations, and data models.
Collaborating with data scientists, analysts, and business stakeholders to understand data needs and deliver effective data solutions will be part of your responsibilities.
Requirements:
A Bachelor's degree in Data or Computer Science, Information Technology, or a related field is required.
Proven experience as a Data Engineer with a focus on Snowflake is necessary.
In-depth knowledge of Snowflake architecture, features, and best practices is essential.
Proficiency in SQL, experience with data modeling tools, and experience with AI/ML frameworks are required.
Strong problem-solving skills and the ability to optimize data workflows for performance are necessary.
Experience with cloud platforms (e.g., Snowflake, Azure) and related services is required.
Familiarity with data integration tools and ETL processes is essential.
Excellent communication and collaboration skills are necessary for this role.
Certifications in Snowflake or related technologies are a plus.
A strong understanding of data integration practices and API connectivity across SaaS platforms is required.
Benefits:
Unit4 offers a culture built on trust, giving you the freedom and autonomy to be successful.
The company provides balance with an uncapped time off policy, remote working opportunities, and Global Wellbeing Days when the whole company can prioritize well-being.
You will work with talented colleagues, role models, and mentors, learning and being inspired by some of the best talent in the software industry.
There is a commitment to sustainability with initiatives such as the Act4Good program, allowing everyone at Unit4 to engage in actions that benefit society and the planet.
A safe and inclusive working environment is supported by Employee Resource Groups, which are open to all and include Women at Unit4, Pride at Unit4, Mental Health and Access at Unit4, and People of Color at Unit4.
