Data Engineer

Lillhärdal, Jamtland County, Sweden

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$110,000 – $150,000Compensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Data Engineering, Cloud ComputingIndustries

Requirements

Candidates should possess a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, along with 3-5 years of experience in data engineering with a focus on Google Cloud Platform (GCP). They must have experience with Infrastructure as Code and provisioning infrastructure as code in a cloud environment, strong proficiency in Python and SQL, and experience with data modelling, Container platforms, ETL/ELT processes, and data warehousing. Familiarity with machine learning concepts and workflows is a plus.

Responsibilities

The Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines using GCP services such as BigQuery, Cloud Run, and Google Cloud Storage. They will collaborate with AI engineers and data analysts to understand data requirements and deliver high-quality data solutions, implement data quality checks and monitoring, optimize data processing for efficiency, and contribute to the development of the overall data architecture and strategy. Additionally, they will design and implement infrastructure as code using tools like Terraform.

Skills

Google Cloud Platform

BigQuery

Cloud Run

Google Cloud Storage

Python

SQL

Infrastructure as Code

Terraform

Data Modelling

ETL/ELT

Data Warehousing

Container Platforms

S&P Global

Provides financial information and analytics services

About S&P Global

S&P Global provides financial information and analytics to a wide range of clients, including investors, corporations, and governments. The company offers services such as credit ratings, market intelligence, and indices, which help clients understand and navigate the global financial market. S&P Global's products work by utilizing advanced data analytics and research to deliver insights that assist clients in making informed decisions and managing risks. Unlike many competitors, S&P Global has a diverse range of divisions, including S&P Global Ratings and S&P Dow Jones Indices, which allows it to cater to various financial needs. The company's goal is to support clients in driving growth while also committing to corporate responsibility and positive societal impact.

New York City, New YorkHeadquarters

1917Year Founded

IPOCompany Stage

Data & Analytics, Financial ServicesIndustries

10,001+Employees

Benefits

Health Insurance

Unlimited Paid Time Off

Professional Development Budget

401(k) Company Match

Family Planning Benefits

Employee Discounts

Risks

Integration challenges with new acquisitions like ProntoNLP may cause operational issues.

Increased competition from AI-driven platforms like Brooklyn Investment Group.

Dependence on volatile credit ratings market could impact revenue stability.

Differentiation

S&P Global integrates advanced AI tools for superior financial analytics capabilities.

The company offers comprehensive ESG solutions, meeting growing sustainability demands.

S&P Global's diverse divisions provide a wide range of financial services globally.

Upsides

Acquisition of ProntoNLP boosts data analytics and sentiment scoring capabilities.

Rising demand for ESG data enhances S&P Global's market position.

Expansion into India strengthens S&P Global's research and insights offerings.

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