Senior Data Analytics Engineer

Who you are

You have 5+ years of experience as a Data Engineer, with a strong background in building and managing data pipelines and ecosystems. Your expertise in SQL and Python allows you to manipulate and analyze large datasets effectively, ensuring data quality and accessibility. You are familiar with cloud platforms, particularly AWS, and have experience with data warehousing solutions. Your knowledge of Apache Spark and Airflow enables you to design and implement robust ETL processes that support business intelligence and analytics initiatives. You understand the importance of data modeling and have experience creating data models that align with business needs. You are also comfortable with data visualization tools, allowing you to present insights clearly and effectively.

Desirable

Experience with machine learning frameworks and concepts is a plus, as you will support AI/ML initiatives. Familiarity with data governance and compliance standards will help you ensure that data practices align with organizational policies. You thrive in collaborative environments and enjoy working closely with cross-functional teams to answer critical business questions.

What you'll do

In this role, you will take full ownership of the data ecosystem, ensuring that data is accessible, reliable, and scalable. You will manage the modern data stack, which includes designing and implementing data pipelines that support various business functions. Your responsibilities will include collaborating with stakeholders to understand their data needs and translating those into technical requirements. You will also be involved in optimizing data workflows and improving data processing efficiency. As a key player in supporting AI/ML initiatives, you will work on integrating machine learning models into the data pipeline, ensuring that data is prepared for analysis and model training. You will also monitor data quality and implement best practices for data management, ensuring that the data ecosystem remains robust and efficient.

What we offer

WorkWave provides a dynamic work environment where innovation is encouraged. You will have the opportunity to work on cutting-edge AI and data analytics projects that have a significant impact on the business. We offer competitive compensation and benefits, along with opportunities for professional growth and development. Join us in shaping the future of data analytics and AI at WorkWave.