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Senior Data Engineer

1 month ago

St Paul, United States Confluent Full time

About the Role: The mission of the Data Science/Data Engineering team at Confluent is to serve as the central nervous system of all things data for the company: we build data and analytics infrastructure, insights, models and tools, to empower data-driven thinking, and optimize every part of the business. This position offers limitless opportunities for an ambitious data engineer to make an immediate and meaningful impact within a hyper growth start-up, and contribute to a highly engaged open source community. This is a partnership-heavy role. As a member of the Data team, you will enable various functions of the company, i.e. Product, Engineering, Go-to-Market, etc., to be data-driven. As a Data Engineer, you will take on big data challenges in an agile way. You will build data pipelines that enable data scientists, operation teams, and executives to make data accessible to the entire company. You will also build data models to deliver insightful analytics while ensuring the highest standard in data integrity. You are encouraged to think out of the box and play with the latest technologies while exploring their limits. Successful candidates will have strong technical capabilities, a can-do attitude, and are highly collaborative. What You Will Do: Design, build and launch extremely efficient and reliable data pipelines to move data across a number of platforms including Data Warehouse and real-time systems Develop strong subject matter expertise and managing the SLAs for those data pipelines Set up and improve BI tooling and platforms to help the team create dynamic tools and reporting Partner with Data Scientists and business partners to develop internal data products to improve operational efficiencies organizationally What You Will Bring: 6 years of experience in a Data Engineering role, with a focus on data warehouse technologies, data pipelines and BI tooling Bachelor or advanced degree in Computer Science, Mathematics, Statistics, Engineering, or related technical discipline Expert knowledge of SQL and of relational & cloud database systems and concepts Strong knowledge of data architectures and data modeling and data infrastructure ecosystem Experience with enterprise business systems such as Salesforce, Marketo, Zendesk, Clari, Anaplan, etc. Experience with ETL pipeline tools like Airflow, DBT, and with code version control systems like Git The ability to communicate cross-functionally, derive requirements and architect shared datasets; ability to synthesize, simplify and explain complex problems to different types of audiences, including executives The ability to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful What Gives You an Edge: Experience with Apache Kafka Knowledge of batch and streaming data architectures Product mindset to understand business needs, and come up with scalable engineering solutions Come As You Are At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.

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