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Barclays
Build and maintain infrastructure platforms and products for data systems, develop and deliver high-quality infrastructure solutions, monitor system performance, implement automation, ensure security, and collaborate with data scientists to deploy ML models.
Responsible for building and maintaining infrastructure platforms and products that support applications and data systems, ensuring reliability, scalability, and security, with a focus on developing and delivering high-quality infrastructure solutions and automating tasks.
Purpose of the role
To build and maintain infrastructure platforms and products that support applications and data systems, using hardware, software, networks, and cloud computing platforms as required with the aim of ensuring that the infrastructure is reliable, scalable, and secure. Ensure the reliability, availability, and scalability of the systems, platforms, and technology through the application of software engineering techniques, automation, and best practices in incident response.
Accountabilities
Assistant Vice President Expectations
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 Barclays as a Data Engineer role, where you will be responsible for building and maintaining the systems that collect, store, process, and analyze data. Your work will ensure that all data is accurate, accessible, and secure. You will collaborate with data scientists and other stakeholders to build and deploy machine learning models and support data-driven decision-making within the organization. At Barclays, we don't just anticipate the future - we're creating it.
To be successful in this role, you should have below skills:
Build and Maintain Data Architectures: Develop and maintain data pipelines that enable the transfer and processing of durable, complete, and consistent data 1.
Design and Implement Data Warehouses and Data Lakes: Manage appropriate data volumes and velocity while adhering to required security measures 1.
Develop Processing and Analysis Algorithms: Create algorithms fit for the intended data complexity and volumes 1.
Collaborate with Data Scientists: Work closely with data scientists to build and deploy machine learning models 1.
Some other highly valued skills may include below:
Building and maintaining scalable, reliable data pipelines
Ensuring data durability, completeness, and consistency
Designing and managing data storage solutions
Handling large volumes and high-velocity data securely
Creating efficient data processing and analysis algorithms
Optimizing for complexity and performance
Supporting data scientists in building and deploying ML models
Providing clean, structured data for model training and inference
Strong programming skills (e.g., Python, SQL, Scala)
Familiarity with tools like Apache Spark, Kafka, Airflow, and cloud platforms (AWS, Azure, GCP)
Ensuring data privacy, access control, and compliance with standards
You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.
This role is based in our Pune office.
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AI Est. Total Comp
$24,096
Location
Pune, Gera Commerzone SEZ
Work Type
On-site
Seniority
mid
Experience
Unknown years
Category
Data Engineering
Visa Sponsorship
Unknown
41 H1B cases filed
Quality Score
1.9