Goldman Sachs Recruitment 2026 : Hiring as Software Engineering
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Goldman Sachs Recruitment 2026 : Goldman Sachs is hiring talented B.E/B.Tech/M.E/M.Tech graduates for the role of Software Engineering in Bangalore. This opportunity is ideal for candidates looking to build innovative technology solutions, work on large-scale financial systems, and collaborate with industry-leading professionals in a dynamic and fast-paced environment. Join Goldman Sachs to accelerate your career and contribute to cutting-edge engineering projects that drive global financial markets.
Goldman Sachs Off Campus Drive 2026 Details :
| Company Name | Goldman Sachs |
| Company Website | https://www.goldmansachs.com/ |
| Job Role | Software Engineering |
| Qualification | B.E/B.Tech/M.E/M.Tech |
| Salary | Best in industry |
| Job Location | Bangalore |
| Experience | 1+ Years |
| Last Date | ASAP |
Goldman Sachs Recruitment 2026 Eligibility Criteria :
- Bachelor’s or master’s degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise.
- 1+ years of experience
- Strong hands-on programming experience in Python or Java.
- Good working knowledge of SQL, including troubleshooting, optimization and data analysis.
- Ability to learn new tools, internal platforms and delivery workflows quickly.
- Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices.
Data Engineering Capability
- Understanding of temporal data modelling, including the handling of historical state and change over time.
- Knowledge of schema design, schema evolution and data compatibility considerations.
- Understanding of partitioning, clustering and other techniques used to improve data performance at scale.
- Ability to make sensible design choices across normalized and denormalized models, and between natural and surrogate keys.
- Practical approach to data quality, reconciliation and root-cause analysis.
- Experience building or supporting production data pipelines in a collaborative engineering environment.
- Experience working with distributed data processing frameworks such as Apache Spark.
- Working knowledge of common data formats such as JSON, Avro and Parquet.
- Stronger ownership of technical design across multiple datasets or pipeline domains.
- Experience guiding implementation standards, code quality and engineering practices within a team.
- Ability to lead delivery for a workstream, manage dependencies and support less experienced engineers.
Examples of technologies in scope include:
- Data processing and logic: ANSI SQL, Apache Spark, Kafka
- Data formats: JSON, Avro, Parquet
- Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ
- Engineering and deployment: CI/CD tooling, containerized or Kubernetes-based deployment approaches where relevant
- You will also work with internal data management and platform tooling, so a practical and adaptable engineering mindset is important.
Key Responsibilities
- Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform.
- Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability.
- Where needed, build reusable tooling to improve delivery, consistency and operational support.
- Ensure data pipelines are production-ready, well tested and operationally supportable.
- Data Modelling and Curation
- Develop raw, refined and curated datasets that support analytics, reporting and AI use cases.
- Apply sound data modelling principles to represent business entities, relationships and historical change accurately.
- Work with consumers to shape data products that are usable, well documented and aligned to business needs.
- Data Quality and Reconciliation
- Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets.
- Use reconciliation approaches to build confidence in production outputs and investigate breaks where they arise.
- Contribute to clear standards for testing, monitoring and issue resolution.
- Contribute to practical improvements in testing, monitoring or reconciliation tooling where these strengthen platform reliability and day-to-day delivery.
How to Apply for Goldman Sachs Hiring 2026?
Applicants who meet the required eligibility requirements can apply for Goldman Sachs Recruitment 2026 by registering and completing the online application form through the official portal before the last date.
Apply Link : Click Here To Apply
And also apply in Zebra Recruitment 2026
About Company :
We are looking for engineers who can deliver well-structured, reliable solutions in production and who take ownership of the quality of what they build. The role suits candidates who are technically strong, pragmatic and comfortable working in a fast-paced environment where data platforms support important business outcomes.