S&P Global Hyderabad Senior Data Engineer Posts | Bachelor’s Degree | Apply Now
S&P Global is an American publicly traded corporation, with a focus on its business in areas of financial information and analytics.
In the latest job announcement, S&P Global announces job vacancies for Senior Data Engineer posts, with work location in Hyderabad.
Under S&P Global Hyderabad Senior Data Engineer 2024 Jobs, candidates having required skills in Python, Docker, MS SQL Server, PostgreSQL, Databricks, and Snowflake can apply.
The selected candidate will be recruited with a permanent and full-time job.
An Interested and qualified candidate has to apply through online mode.
Job Designation: Senior Data Engineer.
Job Code: 295674.
Education Qualification: Bachelor’s Degree.
Experience Level: 6+ years.
Job Location: Hyderabad.
Apply Mode: Online.
Role:
- Technical Leadership, you will have the chance to showcase your technical expertise and be a senior member of a team of talented engineers.
- Ownership and impact, as a senior engineer, you will have the autonomy and responsibility to take ownership and make a significant impact.
- In professional development, you will have access to a range of learning opportunities.
- Cutting-edge technology and challenges. S&P Global is at the forefront of technological innovation and as a senior engineer, you will be at the forefront of driving it.
Responsibilities:
- Designing and implementing data-ingestion and data-publishing tools for diverse datasets.
- Implementing and maintaining data-monitoring and data-cataloguing tools.
- Implementing and maintaining process-management and data-movement tools for ETL’s.
- Offering guidance and best practices to scrum teams who work with data.
- Evaluating and implementing new data management technology with the goal of continually improving team efficiency and data quality.
What We’re Looking For:
- Bachelor's degree in Computer Science, Information Systems, or a related field, OR equivalent experience.
- Minimum of 6+ years’ experience as a software engineer
- Experience as a Data Engineer in a production environment
- Focus on ETL’s, data monitoring, data engineering, etc.
- Python, Docker, MS SQL Server, PostgreSQL, Databricks, Snowflake
- Experience with AWS and GCP
- AWS tech: Aurora DB, Glue, Lambda, Redshift
- Infrastructure as code using Terraform/CloudFormation
- Solid understanding of containers and orchestration tools (Docker, CI/CD, etc.)
- AirFlow, NiFi and other data-management and process-management tools a plus
How to apply:
Interested and qualified job applicants have to apply through online mode, by initially registering with S&P Global career portal and login in to apply.
Apply online:
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