Data Engineer

FocusKPI is looking for a Data Engineer to work for our client.

Work Location: Remote
Duration: Contract-to-hire position

Responsibilities:

• Develop and manage data pipelines at enterprise scale
• Build data modeling and foundational datasets that are scalable and easy to use for Data Scientists and Analysts
• Develop strong subject matter expertise in Data warehousing, ETLs, foundational datasets and their use cases
• Monitor data pipeline quality and implement systematic solutions to alert, validate, and fix issues within SLA

Qualifications:

• 3+ years of experience in a Data Engineering role, with a focus on data warehouse technologies, data pipelines and BI tooling.
• Expert knowledge of SQL, Java, Python and of relational database systems and concepts.
• Bachelor or advanced degree in Computer Science, Mathematics, Statistics, Engineering, or related technical discipline
• Strong knowledge of data architectures and data modeling and data infrastructure ecosystem.
• Experience with enterprise business systems such as Salesforce, Marketo, Zendesk, etc.
• Experience with ETL pipeline tools like Airflow, 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.

Thank you!

FocusKPI Hiring Team

Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California with an East Coast office in Boston, Massachusetts.

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