AWS Developer and Support Engineer

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.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• 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 will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.

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 as an AWS Developer. At Barclays, we don’t just adapt to the future, we create it. As an AWS Support Engineer, you will harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences.

To be a successful AWS Developer, you should have experience with:

• Practical experience working within a support function & ITIL Environment. Strong experience of L2/L3 Application Support Experience is a Must. Good understanding of business and operational processes, Capable of Problem / issue resolution, capable of thinking out of the box.

• Candidate should be able to work independently, and drive projects related to Service Improvement, monitoring, Automation, audit remediations etc. Experience with UNIX environment with exposure to one or more well-known UNIX flavours such as HP-UX, Sun Solaris and/or Linux. Experience working with databases such as Oracle, Teradata, Mongo DB, including fine tuning SQL queries, advanced investigation skills for performance issues and database profiling.

• Should be strong in analytical thinking, able to identify root causes, communicate with technical and non-technical users. Proficiency in monitoring and observability tools in cloud environment like CloudWatch. Proficiency in S3 lifecycle policies, CloudWatch custom metrics, IAM policies, ECS/EKS orchestration.

• Hands on experience in python and PySpark and strong knowledge on Dataframes, RDD and SparkSQL. Hands on Experience in supporting and maintaining applications on AWS Cloud. Strong hold on AWS Data Analytics Technology Stack (Glue, S3, Lambda, Lake formation, Athena). Design and implement scalable and efficient data transformation/storage solutions using Snowflake.

• Experience in Data ingestion to Snowflake for different storage format such Parquet, Iceberg, JSON, CSV etc. Experience in using DBT (Data Build Tool) with snowflake for ELT pipeline support. Experience in Writing advanced SQL.

• Experience in AWS data pipeline support. Hands on experience for supporting reusable components using Snowflake and AWS Tools/Technology. Exposure to data governance or lineage tools such as Immuta and Alation is added advantage. Experience in using Orchestration tools such as Apache Airflow or Snowflake Tasks is added advantage.

Additional relevant skills given below are highly valued:

• Ability to engage with Stakeholders, elicit requirements/ user stories and translate requirements into ETL components. Ability to understand the infrastructure setup and be able to provide solutions either individually or working with teams. Good knowledge of Data Marts and Data Warehousing concepts.

• Resource should possess good analytical and Interpersonal skills. Support Cloud based Enterprise data warehouse with multiple data platform along with Snowflake and NoSQL environment to support data movement strategy.

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.