Lead Data Engineer

**Lead Data Engineer - Big Data**:

- Virtual, Nevada
- Information Technology
- 298427

**Job Description**:
**About The Role**:
**Grade Level (for internal use)**:
12
About the Role:
Title: Lead Data Engineer - Big Data

**The Team**:
You will be an expert contributor and part of the Rating Organization’s Ingestion Pipelines Engineering Team. This team, who has a broad and expert knowledge on Ratings organization’s critical data domains, technology stacks and architectural patterns, fosters knowledge sharing and collaboration that results in a unified strategy. All Data Services team members provide leadership, innovation, timely delivery, and the ability to articulate business value. Be a part of a unique opportunity to build and evolve S&P Ratings next gen Ingestion pipelines platform.

**Responsibilities and Impact**:

- Design & Build ingestion pipelines using ELT and schema on read in Databricks delta lake
- Design & Develop “Transformations” aspects using ELT framework to modernize the Ingestion pipelines and build data transformations at scale
- Provide technical expertise in the areas of design and implementation of Ratings Data Ingestion pipelines with modern AWS cloud and other technologies such as S3, Hive, Databricks, Scala, Python and Large-scale data analytics tools
- Build and maintain a data environment for speed, accuracy, consistency and ‘up’ time
- Work closely with other data teams & Data Science team and participate in development of Ingestion pipelines
- Ensure data governance principles adopted, data quality checks and data lineage implemented in each hop of the data
- Be in tune with emerging trends Big data and cloud technologies and participate in evaluation of new technologies
- Ensure compliance through the adoption of enterprise standards and promotion of best practice / guiding principles aligned with organization standards

**Compensation/Benefits Information**:
S&P Global states that the anticipated base salary range for this position is $118,094 to $237,100. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications.

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,.

**What We’re Looking For**:
**Required Qualifications**:

- BE, MCA or MS degree in Computer Science or Information Technology.
- 10+ years of experience as Data Engineer at an innovative organization
- 5+ years of hands-on experience in implementing data lake systems using AWS/Azure cloud technologies such as S3, Databricks, Hive, Large-scale data analytics tools & Scala, Python etc.
- Strong expertise (preferable 5 yrs) in SDLC cycle including stakeholder management, people management, risk management, strategic management, communication management
- Should be in position to handle issue resolution and provide direction to teams both technically and functionally
- Experience with development frameworks as well as data and integration technologies such as Python, Scala
- Experience in microservices and API design and implementation, with service-oriented architectures, SOAP and RESTful APIs
- Deep Experience with three or more technologies of Java/J2EE, C#, AWS, Large-scale data analytics tools, Python, Scala, any RDBMS, Data stream processing tools, Informatica, Angular/ReactJS, Databricks, Cloud-native orchestration tools
- Experience with Continuous integration and deployment tools like Jenkins and Azure DevOps
- Experience working in UNIX/Linux environment including shell scripting
- Strong understanding of cloud native architectures, design patterns and best practices
- Should be in position to articulate and convert requirements into solution.
- Knowledgeable in technology and industry trends with ability to develop and present substantive technical solutions
- Knowledge of Agile approaches to software development and able to put key Agile principles into practice to deliver solutions incrementally
- Quality first mindset with a strong background and experience developing products for a global audience at scale
- Excellent analytical thinking, interpersonal, oral, and written communication skills with strong ability to influence both IT and business partners

**Additional Preferred Qualifications**:

- Experience With Machine Learning Libraries and Frameworks (TensorFlow, MLlib) is an added advantage
- Monitors industry trends and directions; develops and presents substantive technical recommendations to senior management
- Excellent analytical thinking, interpersonal, oral, and written communication skills with strong ability to influence both IT and business partners
- Ability to prioritize and manage work to critical project timelines in a fast-paced environment
- Financial services industry experience

**Right to Work Requirement