Cloud Data Engineer

Join us as a Cloud Data Engineer at Barclays, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences.

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

Basic/ Essential Qualifications:

• Collaborate with development teams to ensure testability and quality throughout the SDLC
• Identify opportunities for test optimization and implement solutions to improve test efficiency
• Clear communication skills to engage with key stakeholders and team members
• SQL proficiency to query and extract insights from large datasets
• Working knowledge with Snowflake, Starburst, Oracle , Hadoop , Pyspark , Ab-intio and other ETL
• Ability to work with large volumes of data to identify issues and recommend tactical and strategic solutions
• Experience with metadata and domain maintenance
• Familiarity with JIRA for workflow tracking
• AWS, Databricks and Azure testing experience

Desirable skillsets/ good to have:

•  Well-versed hands-on experience on creating best test framework.
• Person should give technical guidance and drive the Test Automation team. Drive automation in a pro-active mode than reactive. This means the Automation Analyst needs to ensure that automation pack is updated in parallel to the development lifecycle so that the same can be executed at the time of the release made available on test env for test execution.
• Actively contribute to DevOps agenda forward from automation point, Jenkins/GitLab pipelines configuration is must.
• Help mature the current automation capability by ensuring proper documentation of frameworks, utilities, and tools in the teams’ central knowledge base.
• Good working experience of ETL and Data testing-based automation for a quick turnaround time.
• Platform data modelling, including logical and physical data models
• Gathering and documenting business or operational requirements, including identifying gaps in current capabilities
• Understanding of data stewardship, data quality, and data lineage
• Creating user stories and acceptance criteria, and executing user acceptance testing

This job 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.