Data Engineer

Join us as a Data Engineer at Barclays where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. As data engineer, i you will be improving client experience by Creating a frictionless client experience across channels, Reducing genuine decline rates, Improving our Identity and Verification (ID&V) technologies. Increasing business engagement by Supporting business growth in new and existing products, while reducing fraud losses and costs, Sharing best practices between previously siloed teams to drive significantly improved customer experience, Aligning processes across multiple global locations. Growing capabilities by Leveraging cutting-edge Machine Learning tech and algorithms to detect fraudulent behaviors. Establishing dedicated internal modelling team aligned to Fraud; Engaging with best-in-class external providers and use cutting edge Machine Learning tech .

To be successful as a Data Engineer you should have experienced with:

• Should have strong hands-on experience on Ab Initio GDE
• Troubleshoot any Ab Initio related problem/error, implemented realtime, batch based solutions with large volume of data processing
• Should have delivered Warehouse projects
• Should have knowledge / exposure on other ETL (Spark/Scala & Cloud based ETL) tools
• Should have working knowledge SQL and NOSQL databases like Teradata, Oracle, Hadoop, and Streaming data
• Relevant years of experience minimum 2-3 years in Development/Built

Some other highly values skills include:

• Can work independently with minimum supervision and help the development team on technical expertise
• Pioneering - High level of initiative/innovation
• Flexible and adaptable working style to work with multiple stakeholders

You may be assessed on 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 Pune.

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

• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Requires in-depth technical knowledge and experience in their assigned area of expertise
• Thorough understanding of the underlying principles and concepts within the area of expertise
• They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
• 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.