Director, Data Engineering Director, Data Engineering …

S&P Global
à Charlottesville, VA, États-Unis
CDI, Plein-temps
Soyez parmi les premiers à postuler
Competitive
S&P Global
à Charlottesville, VA, États-Unis
CDI, Plein-temps
Soyez parmi les premiers à postuler
Competitive
Director, Data Engineering
Grade: 13

The Team:

S&P Global Sustainable1 is looking for a leader in the Data Engineering field to build and grow Data Engineering team and capabilities. As Director of Data Engineering reporting into the CTO you will design and implement the next version of our integrated data platform. You will own and drive strategic planning, business analysis and technical implementation of data engineering, tools, and data architecture definition. In addition to managing our portfolio of datasets globally, you will play key role in leading our data engineering community to leverage these datasets effectively. You will also produce documentation and lead training sessions for data engineering solutions.

What is in it for you:
  • Collaborate with and influence leadership so that your teams work directly impacts company strategy and direction.
  • Develop new techniques and data that will enable answering previously unanswerable and new questions.
  • Develop deep partnerships with engineering and product teams to deliver on major cross-functional measurements, testing.
  • Communicate effectively to all levels of the organization, including executives.
  • Provide success in partnering teams with dramatically varying backgrounds, from the highly technical to the highly creative.
  • Experience designing a data engineering roadmap and executing the vision behind it.
  • Experience instilling a culture of ownership, collaboration, and results.
  • Track record of recruiting talent in data engineering, analytics, and data science.
  • Good business acumen to orient data analysis to business needs of clients.
  • Ability to translate business concepts into a technical architecture
  • Ability to collaborate with cross-functional teams to define priorities and develop roadmaps
  • Project management skills
  • Demonstrated intellectual and analytical rigor, strong attention to detail Team oriented, energetic, collaborative, diplomatic, and flexible style
  • Demonstrated intellectual and analytical rigor, strong attention to detail Team oriented, energetic, collaborative, diplomatic, and flexible style
  • You will have the opportunity to be very autonomous, self-driven, able to navigate and lead through ambiguity
  • You excel at articulating complex topics to the layman (understands audience and speaks to be understood)
  • Experience with crafting and operating scalable, resilient, highly available services
  • You have a deep understanding and appreciation of both machine-readable standards and master data management (MDM)
Responsibilities:
  • 10+ yrs. work experience in an analytical field such as computer science. Minimum of 5 years' experience in a leadership role.
  • Working knowledge of Hadoop ecosystem and associated technologies, (For e.g., Apache Spark, MLlib , GraphX , iPython , sci-kit, Pandas etc.)
  • Experience in creating large scale data engineering pipelines, data-based decision-making, and quantitative analysis.
  • Exposure with Visualization Tools like Tableau, Power BI, D3 and exposure to code version control systems (git).
  • Experience - CICD/ Data Architectures/ Pipelines/ Quality /Code Management.
  • Advanced experience in writing and optimizing efficient SQL queries with Python, Spark, Hive, Scala handling Large Data Sets in Big-Data Environments.
  • Experience with SQL for extracting, aggregating, and processing big data Pipelines using Hadoop, EMR & NoSQL Databases.
  • Experience creating/supporting production software/systems and a proven track record of identifying and resolving performance bottlenecks for production systems.
  • Experience with Unix/Shell and exposure to Scheduling tools like Oozie and Airflow.
  • Exposure to stream-processing systems like Apache Storm, Spark-Streaming.
  • Experience with Big Data platforms such as Apache Hadoop and Apache Spark, NiFi
  • Understanding of Machine Learning technology concepts and application
  • Experience implementing SOA framework
  • Experience with enterprise library development and management Experience with API development and management
  • Experience working in agile scrum environment
  • Ability to translate data and technical concepts into requirements documents, business cases.
S&P Global states that the anticipated base salary range for this position is $122,200 to $279,200 . Base salary ranges may vary by geographic location.
In addition to base compensation, this role is eligible for an annual incentive plan.
This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, visit https://www.spgbenefitessentials.com/newhires .

At S&P Global, we don't give you intelligence-we give you essential intelligence. The essential intelligence you need to make decisions with conviction. We're the world's foremost provider of credit ratings, benchmarks and analytics in the global capital and commodity markets. Our divisions include S&P Global Ratings, S&P Global Market Intelligence, S&P Dow Jones Indices and S&P Global Platts. For more information, visit www.spglobal.com .

S&P Global has a Securities Disclosure and Trading Policy ("the Policy") that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy's requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy.

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.

The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law.

IFTECH103.2 - Middle Management Tier II (EEO Job Group)

Job ID: 267424
Posted On: 2021-10-26
Location: Charlottesville, Virginia, United States
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