The AI/ML Data Engineer will be responsible for building and maintaining data architectures, including pipelines, warehouses, and lakes. Key responsibilities include designing systems for data management, collaborating with data scientists, and ensuring data accuracy, security, and compliance while driving innovation in digital offerings.
Job Description
Purpose of the role
To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Accountabilities
- Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
- Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
- Development of processing and analysis algorithms fit for the intended data complexity and volumes.
- Collaboration with data scientist to build and deploy machine learning models.
Analyst Expectations
- Will have an impact on the work of related teams within the area.
- Partner with other functions and business areas.
- Takes responsibility for end results of a team’s operational processing and activities.
- Escalate breaches of policies / procedure appropriately.
- Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
- Advise and influence decision making within own area of expertise.
- Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
- Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
- Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
- Make evaluative judgements based on the analysis of factual information, paying attention to detail.
- Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
- Guide and persuade team members and communicate complex / sensitive information.
- Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.
Join us an AI/ML Data Engineer Barclays where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences. You may be assessed on the key critical skills relevant for success in role, such as:
- In-depth knowledge of AWS services
- In-depth knowledge of Datawarehouse/data pond
- AWS Lambda
- AWS Glue, AWS Sagemaker
- Amazon Redshift, Kinesis,S3
Below given additional relevant skills are highly valued:
- Python, Pyspark
- ML Basics
- Basics of GenAI & LLM
This role is based in Pune.
Top Skills
Pyspark
Python
Barclays Chennai, Tamil Nadu, IND Office
Chennai, India, 600004
Similar Jobs
Be an Early Applicant
The Risk and Control Analyst will manage the delivery of technical projects, ensuring compliance with regulations and best practices. This includes collaborating with stakeholders to assess risks, manage change requests, and support audit activities while promoting a culture of continuous improvement and excellence within the organization.
Be an Early Applicant
The ML Data Engineer will build and maintain data architectures, including pipelines, warehouses, and lakes, ensuring data accuracy, accessibility, and security. Responsibilities include developing algorithms for data processing and analysis, collaborating with data scientists, and managing risks and controls within data operations.
Be an Early Applicant
The Payment Processing Analyst at Ecolab is responsible for reviewing invoices, preparing payment files, and ensuring timely and accurate cash payments to vendors. Key tasks include maintaining attention to detail, managing critical vendor payments, and supporting compliance with company policies and legal requirements. The role also involves participation in continuous improvement initiatives.
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
