Data Engineer
Data Engineer
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Job Description
About the Role:
Grade Level (for internal use):
10The Team: The Data Engineering team is responsible for architecting building and maintaining our evolving data infrastructure as well as curating and governing the data assets created on our platform. We work closely with various stakeholders to acquire process and refine vast datasets focusing on creating scalable and optimized data pipelines. Our team possesses broad expertise in critical data domains technology stacks and architectural patterns. We foster knowledge sharing and collaboration resulting in a unified strategy and seamless data management.
The Impact: This role is the foundation of the products delivered. The data onboarded is the base for the company as it feeds into the products platforms and essential for supporting our advanced analytics and machine learning initiatives.
Whats in it for you: Be the part of a successful team which works on delivering top priority projects which will directly contribute to Companys strategy. Drive the testing initiatives including supporting Automation strategy performance and security testing. This is the place to enhance your Testing skills while adding value to the business. As an experienced member of the team you will have the opportunity to own and drive a project end to end and collaborate with developers business analysts and product managers who are experts in their domain which can help you to build multiple skillsets.
Responsibilities:
- Design develop and maintain scalable and efficient data pipelines to process large volumes of data.
- To implement ETL processes to acquire validate and process incoming data from diverse sources.
- Collaborate with crossfunctional teams including data scientists analysts and software engineers to understand data requirements and translate them into technical solutions.
- Implement data ingestion transformation and integration processes to ensure data quality accuracy and consistency.
- Optimize Spark jobs and data processing workflows for performance scalability and reliability.
- Troubleshoot and resolve issues related to data pipelines data processing and performance bottlenecks.
- Conduct code reviews and provide constructive feedback to junior team members to ensure code quality and best practices adherence.
- Stay updated with the latest advancements in Spark and related technologies and evaluate their potential for enhancing existing data engineering processes.
- Develop and maintain documentation including technical specifications data models and system architecture diagrams.
- Stay abreast of emerging trends and technologies in the data engineering and big data space and propose innovative solutions to enhance data processing capabilities.
What Were Looking For:
- 5 Years of experience in Data Engineering or related field
- Strong experience in Python programming with expertise in building dataintensive applications.
- Proven handson experience with Apache Spark including Spark Core Spark SQL Spark Streaming and Spark MLlib.
- Solid understanding of distributed computing concepts parallel processing and cluster computing frameworks.
- Proficiency in data modeling data warehousing and ETL techniques.
- Experience with workflow management platforms preferably Airflow.
- Familiarity with big data technologies such as Hadoop Hive or HBase.
- Strong Knowledge of SQL and experience with relational databases.
- Hand on experience with AWS cloud data platform
- Strong problemsolving and troubleshooting skills with the ability to analyze complex data engineering issues and provide effective solutions.
- Excellent communication and collaboration skills with the ability to work effectively in crossfunctional teams.
- Nice to have experience on DataBricks
Preferred Qualifications: Bachelors degree in Information Technology Computer Information Systems Computer Engineering Computer Science or other technical discipline
Whats In It For You
Our Purpose:
Progress is not a selfstarter. It requires a catalyst to be set in motion. Information imagination people technologythe right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence pinpointing risks and opening possibilities. We Accelerate Progress.
Our People:
Were more than 35000 strong worldwideso were able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. Were committed to a more equitable future and to helping our customers find new sustainable ways of doing business. Were constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
Our Values:
Integrity Discovery Partnership
At S&P Global we focus on Powering Global Markets. Throughout our history the worlds leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do bring a spirit of discovery to our work and collaborate in close partnership with each other and our customers to achieve shared goals.
Benefits:
We take care of you so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global.
Our benefits include:
Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off helps keep you energized for your time on.
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
Invest in Your Future: Secure your financial future through competitive pay retirement planning a continuing education program with a companymatched student loan contribution and financial wellness programs.
Family Friendly Perks: Its not just about you. S&P Global has perks for your partners and little ones too with some bestin class benefits for families.
Beyond the Basics: From retail discounts to referral incentive awardssmall perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:
At S&P Global we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills experience and contributions. Our hiring practices emphasize fairness transparency and merit ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration we drive innovation and power global markets.
Equal Opportunity Employer
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:and your request will be forwarded to the appropriate person.
US Candidates Only:The EEO is the Law Poster discrimination protections under federal law. Pay Transparency Nondiscrimination Provision Middle Professional Tier I (EEO Job Group)
Employment Type
Full-Time
Key Skills
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