Liquids Technology, Data Engineer, AVP

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– Liquids Technology, Data Engineer, AVP
– Miami, FL

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• Liquids Technology, Data Engineer, AVP

Liquids Technology, Data Engineer, AVP

• location: Miami, FL
• type: Permanent
• salary: $140,000
  – $150,000 per year

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job details:

• location: Miami, FL
• salary: $140,000
  – $150,000 per year
• date posted: Tuesday, September 7, 2021
• job type: Permanent
• industry: Professional, Scientific, and Technical Services
• reference: 867694

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• apply now

job description

Liquids Technology, Data Engineer, AVP

job summary:
The client is looking to hire a passionate data engineer to be an integral member of the Data Science and Engineering Team within Innovations, the firm’s technology team.

We are a new and growing team using data science and data engineering to provide a competitive advantage to our investment professionals and management teams, allowing Blackstone to be a more efficient investor and owner of assets.

location: Miami, Florida
job type: Permanent
salary: $140,000
– 150,000 per year
work hours: 8am to 4pm
education: Bachelors

responsibilities:
Key Responsibilities:

• Full-stack design, development, and operation of core data stack including data lake, data warehouse, and data pipelines
• Build data flows for data acquisition, aggregation, and modeling, using both batch and streaming paradigms
• Consolidate/join datasets to create easily consumable, consistent, holistic information
• Design and implement machine learning models and prediction APIs, and ensure their operational performance over time
• Empower data scientists and data analysts to be as self-sufficient as possible by building core systems and developing reusable library code
• Support and optimize desktop and cloud environments for data scientists and data analysts
• Ensure efficiency, quality, resiliency of data science core systems
• Work with senior technical staff throughout Blackstone’s portfolio companies to develop data flows

Qualifications:

• Undergraduate or graduate degree in a technical or scientific field, such as Computer Science, Engineering, Mathematics, or similar
• 2-5 years professional experience as a data engineer, software engineer, data analyst, data scientist, or related role
• Analytically minded and detail-oriented: you actually like staring at data, looking for patterns and outliers, establishing data models, and rigorously answering questions
• Expertise in data engineering languages such as Python, Java, Scala, SQL.
• Data modeling and data governance experience; you’ve designed and implemented a data mart, a data warehouse, or the back-end database of an application
• Experience building ETL and data pipelines, especially via code-oriented systems like Spark, Airflow, Luigi, or similar, and with varied data formats
• Cloud-oriented but comfortable with on-premises infrastructure
• Experience operating in a secure networking environment (e.g.

  behind a corporate proxy) is a plus

• Creative problem-solving skills, especially in situations where “nobody has tried this before”
• Excellent technical documentation and writing skills: you know Markdown syntax cold, and have published API documentation or similar
• You’re not satisfied with “close enough” solutions, and you design long-term solutions that are robust over time
• You have a bias towards automation: “one-time scripts” eat away at your soul a little bit each time you write one
• Proficiency in statistics and machine learning is a nice-to-have, and interest in learning these is even better!
• Familiarity with visualizing data with Tableau and similar tools
• Great customer service and technical troubleshooting skills

qualifications:

• Experience level: Experienced
• Minimum 4 years of experience
• Education: Bachelors (required)

 
skills:

• Data Center

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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