Senior Data Engineer
S&P GlobalAbout the role
About the Role:
Grade Level (for internal use):
10About the Role:
The Team:
The Data Lake team is responsible for ETL and data ingestion from internal source systems in batch/real-time modes, curation and governance of the data assets created in the platform. The team focusses majorly on the Integration projects and deliver the time sensitive information. The team 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.
Responsibilities and Impact:
- Design and develop ETLs in Informatica Power Center from various sources to Oracle data warehouse.
- Perform advanced ETL development activities using Informatica, PL/SQL, Oracle Database tuning, SQL tuning.
- Provide data analysis to support new project definition/design to troubleshoot/resolve issues with existing subject areas.
- Design data solutions on Databricks including delta lake, data warehouse, data marts and other data solutions to support the analytics needs of the organization.
- Apply best practices during design in data modeling (logical, physical) and ETL pipelines (streaming and batch) using cloud-based services.
Compensation/Benefits Information:
S&P Global states that the anticipated base salary range for this position is $80109 to $160600. 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 not eligible for additional compensation such as an annual incentive bonus or sales commission plan.
This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.
What We’re Looking For:
Basic Required Qualifications:
- (BE, MCA or MS degree in Computer Science or Information Technology
- 6+ years of experience in Informatica Power Center (ETL), Oracle SQL and PLSQL.
- 3+ years of experience in data transformation and analysis with one or more of Scala, Python, Spark and related libraries and Databricks.
- Strong foundational understanding on data models and query languages.
- Unix shell scripting is mandatory to execute the Informatica workflows.
- Experience in continuous delivery through CI/CD.
Additional Preferred Qualifications:
- Financial services industry experience is an added advantage.
- Databricks experience or certifications is an added advantage.
- AWS or any public cloud certification is an added advantage
Right to Work Requirements:
This role is limited to persons with indefinite right to work in the United States.
Return to Work:
Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace.
About S&P Global Ratings
At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions.
S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today.
For more information, visit www.spglobal.com/ratings
What’s In It For You?
Our Purpose:
Progress is not a self-start
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