HSBC is hiring for the position of Data Engineer in Bangalore, India. Candidates with a Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | HSBC |
| Position | Data Engineer |
| Qualifications | Bachelor’s/ Master’s Degree |
| Experience | Freshers/ Experienced |
| Location | Bangalore, India (Hybrid) |
Key Responsibilities:
- Collaborate with Front Office teams to enable and develop market-leading Artificial Intelligence (AI) and Machine Learning (ML) solutions for the Markets and Securities Services (MSS) division.
- Act as both an advisor and a builder of innovative AI/ML solutions for clients, sales, and trading, working closely across MSS business lines and HSBC divisions.
- Introduce innovative ideas and approaches to AI/ML solutions and the underlying data sources to address existing and emerging business problems while identifying market and client opportunities.
- Contribute as a Data Engineer within a global team to build, experiment with, and productionize AI/ML solutions that deliver measurable value to the business and clients.
- Partner closely with sales and trading teams to design and deliver impactful data-driven and AI-enabled solutions.
- Source and integrate internal and external data for cross-asset data applications, including building data dictionaries, staging layers, integration frameworks, and permission controls to enable efficient data discovery and access.
- Develop advanced analytics solutions for both structured and unstructured data, such as time-series market data, news feeds, and document processing.
- Build scalable data pipelines and APIs to support high-volume and low-latency data processing for AI/ML applications, including Generative AI, NLP, and traditional machine learning models.
- Contribute to technical solution design through hands-on development, ensuring adherence to software development lifecycle (SDLC) standards.
- Identify, manage, and mitigate risks and issues to ensure timely delivery of high-quality solutions.
- Conduct post-implementation reviews to evaluate delivery outcomes and demonstrate the success and impact of implemented solutions.
Eligibility Criteria:
- Proficiency in Python within an enterprise-scale development environment.
- Strong experience with relational and NoSQL databases, including SQL, MongoDB, KDB, and PGVector.
- Hands-on experience with big data processing technologies such as Spark and BigQuery.
- Practical experience working with cloud platforms, including Google Cloud Platform (GCP) and Microsoft Azure.
- Strong experience with CI/CD pipelines (e.g., Jenkins), version control systems (Git), software testing practices, and a solid understanding of DevOps methodologies.
- Experience in API development, including implementation of access control and permission management.
- Strong foundational knowledge of computer science concepts, including programming, distributed computing, operating systems, security, and networking.
- Demonstrated ability to design and build data models, data warehouses, and end-to-end data pipelines.
- Experience with additional programming languages such as Java, C++, or JavaScript is an added advantage.
About Company:
We’re a financial services organisation that serves more than 40 million customers, ranging from individual savers and investors to some of the world’s biggest companies and governments. Our network covers 63 countries and territories, and we’re here to use our unique expertise, capabilities, breadth and perspectives to open up a world of opportunity for our customers.
How To Apply?
- First, read through all of the job details on this page.
- Scroll down and press the Click Here button.
- To be redirected to the official website, click on the apply link.
- Fill the details with the information provided.
- Before submitting the application, cross-check the information you’ve provided.
