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
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Build and maintenance of data architectures pipelines that enable the
transfer and processing of durable, complete and consistent data.
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Design and implementation of data warehoused and data lakes that manage the
appropriate data volumes and velocity and adhere to the required security
measures.
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Development of processing and analysis algorithms fit for the intended data
complexity and volumes.
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Collaboration with data scientist to build and deploy machine learning
models.
Join us as a Data Engineer - PySpark Developer at Barclays, responsible for
supporting the successful delivery of location strategy projects to plan,
budget, agreed quality and governance standards. You will be invoved in
design, develop, and deliver scalable data solutions. The successful candidate
will be responsible for building robust data pipelines, enabling data
processing and supporting large-scale data transformation initiatives across
the organisation. This role requires strong expertise in PySpark, AWS cloud
technologies, data engineering practices and modern data platform
architectures. The candidate will collaborate with business stakeholders,
architects, product owners and engineering teams to deliver secure, reliable
and performant data products.
To be successful as a Data Engineer - PySpark Developer you should have
experience with:
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Design, develop and maintain scalable data pipelines using PySpark.
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Build and optimise ETL/ELT solutions supporting large-scale enterprise
data processing requirements.
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Develop reusable frameworks, components and standards to accelerate data
onboarding and analytics delivery.
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Implement data quality controls, validation frameworks and reconciliation
processes.
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Deliver high-quality code following engineering best practices, coding
standards and automated testing approaches.
Some other highly valued skills may include:
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Excellent programming skills in Python/Pyspark.
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Hands-on experience with Databricks and/or Snowflake.
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Strong experience with AWS Cloud services including S3, Glue, EMR, Lambda,
EC2, DynamoDB, IAM, CloudWatch and CloudTrail.
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Hands-on experience developing and optimising AWS Glue ETL jobs using
PySpark.
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Experience with large-scale distributed data processing.
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Solid understanding of Data Lake, Lakehouse and Modern Data Platform
architectures.
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Expertise with Git-based source control platforms.
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Experience in Airflow.
Assistant Vice President Expectations
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To advise and influence decision making, contribute to policy development
and take responsibility for operational effectiveness. Collaborate closely
with other functions/ business divisions.
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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
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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.
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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.
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Consult on complex issues; providing advice to People Leaders to support the
resolution of escalated issues.
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Identify ways to mitigate risk and developing new policies/procedures in
support of the control and governance agenda.
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Take ownership for managing risk and strengthening controls in relation to
the work done.
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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.
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Collaborate with other areas of work, for business aligned support areas to
keep up to speed with business activity and the business strategy.
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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.
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Communicate complex information. 'Complex' information could include
sensitive information or information that is difficult to communicate
because of its content or its audience.
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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.
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 out of Bengaluru.