Senior Software Developer (Python)

Key Skills

Agile methodologies, Apache Hadoop, Apache Kafka, Apache NiFi, Argo, AWS, Azure, Big Data Technology, C# Programming, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Databricks, Docker, Elasticsearch, Google Cloud Platform (GCP), Java Programming, Kubernetes-K8s, Machine learning techniques, MLOps tools, NoSQL, Python Programming, Scala Programming, Snowflake, SQL

Job Description

The Impact: The Senior Software Engineer will work to improve and enhance the architecture, design, scalability, and performance of our evolving automation needs

What’s in it for you: It’s a fast-paced agile environment that deals with huge volumes of data, so you’ll have an opportunity to sharpen your data skills and work on an emerging technology stack 

 Responsibilities:

• Design, and implement software components for our shared automation capabilities platform.
• Perform analysis and articulate solutions.
• Design underlying engineering for multiple product offerings supporting a large volume of end-users.
• Develop project plans with task breakdowns and estimates.
• Manage and improve existing solutions.
• Solve a variety of complex problems and figure out possible solutions, weighing the costs and benefits.
• Perform other duties as 
• assigned

What We’re Looking For:

Basic Qualifications:

• Bachelors/Master’s Degree in Computer Science, Information Systems or equivalent.
• 5+ years experience in application development 
• Proficient with software development lifecycle (SDLC) methodologies like Agile, Test-driven development
• Proficient with Python, with Java/J2EE , Scala, and C# are a plus 
• Experience with stream processing engines like Kafka, Spark, etc.
• Experience in building event-driven scalable & resilient systems 
• Experience with Big Data platforms such as Apache Hadoop and Apache Spark, NiFi
• Experience with SQL and NoSQL databases (Elasticsearch) 
• Experience with CI/CD tools such as ArgoCD, GitLab etc. 
• Experience with Infrastructure as Code such as Terraform 
• Experience with containerization technologies and orchestration (Docker and Kubernetes) 

Preferred Qualifications:

• Familiarity and/or enthusiasm with Data Science / Machine Learning is a plus
• Familiarity and/or enthusiasm with MLOps 
• Experience working in cloud computing environments such as AWS, Azure, or GCP
• Experience in Databricks, SnowFlake 
• Experience building APIs 
• Experience with Data Engineering 
• Experience with Document Storage Systems 
• Experience with DAG orchestration such as Airflow etc 

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 , we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace.

Grade(relevant for internal applicants only) :10

The Location: Gurgaon, Hyderabad, Ahmedabad

About Company Statement:

S&P Global delivers essential intelligence that powers decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, you’ll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape.

-----------------------------------------------------------

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: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. 

US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law.