S&P Global

Lead Software Engineer (Data Engineer)

S&P Global
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1 day ago
Noida, India +3 moreStaff+

Responsibilities

  • Assist with onboarding new data assets to the enterprise data platform.
  • Monitor, troubleshoot, maintain, and enhance existing data pipelines.
  • Support data ingestion, transformation, storage, processing, validation, quality checks, metadata management, and lineage documentation.
  • Use Amazon S3 and AWS Glue Data Catalog to support cloud storage, data cataloging, discoverability, and governance.
  • Write and maintain Python scripts for data processing, ingestion, and automation.
  • Support deployment, testing, monitoring, incident response, and operational troubleshooting.
  • Contribute to deployment and operational workflow automation using AWS CloudFormation or similar tools.
  • Document onboarding procedures, pipeline configurations, and operational processes while collaborating with senior engineers and stakeholders.

Requirements

  • 5+ years of experience in data engineering, data support, or related roles.
  • Basic knowledge of SQL, Python, and big data processing engines.
  • Hands-on programming experience in Python or similar languages for data processing and automation.
  • Familiarity with cloud data platforms such as Databricks or similar technologies.
  • Understanding of data onboarding, data quality, metadata, and data lineage concepts.
  • Hands-on experience with AWS services including Amazon S3, AWS Glue Data Catalog, AWS IAM, and AWS CloudWatch.
  • Preferred: exposure to data pipelines, data onboarding, or data migration projects.
  • Preferred: knowledge of Delta Lake, Iceberg, or similar storage formats.
  • Preferred: basic understanding of data governance and security principles and relevant data engineering or AWS certifications or training.
  • Ability to solve problems, pay attention to detail, and collaborate effectively.

Benefits

  • Health care coverage and wellness benefits.
  • Generous paid time off and flexible downtime.
  • Continuous learning resources and career development support.
  • Retirement planning, continuing education support, company-matched student loan contributions, and financial wellness programs.
  • Family-friendly benefits and perks.
  • Retail discounts and referral incentive awards.

Tech Stack

AWSDatabricksPythonSQL

Categories

Data Engineering
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