As a Senior Data Engineer, you'll play a crucial role in developing and optimizing data pipelines and workflows. This position is ideal for those with a strong background in data engineering and a passion for working with big data technologies.
Innovative and data-driven
In this role, you will be responsible for developing and optimizing data pipelines and workflows that are essential for the company's data operations. You will work with advanced data models to support complex data analysis and reporting needs. Your expertise in SQL and Spark will be critical in ensuring that data is processed efficiently and accurately.
Your day-to-day tasks will include designing ETL/ELT processes that facilitate the smooth flow of data from various sources into data warehouses. You will collaborate with data analysts and other stakeholders to understand their data needs and ensure that the data infrastructure meets those requirements. This role is perfect for someone who enjoys problem-solving and has a keen interest in big data technologies.
Key responsibilities include: • Developing and maintaining data pipelines • Designing and implementing ETL/ELT processes • Optimizing data workflows for performance and reliability • Collaborating with cross-functional teams to gather data requirements
To succeed in this position, you should have at least five years of experience in data engineering, with a solid understanding of data warehousing and big data concepts. A strong proficiency in SQL and Spark is essential, along with the ability to design complex data models. If you are a proactive individual who thrives in a fast-paced environment, this role could be a great fit for you.
You'll be taken to the original listing on CareerJet to apply.