IFC - Cloud Data Engineer

Barclays

Pune District

On-site

INR 1,400,000 - 2,200,000

Full time

3 days ago
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Job summary

Barclays is seeking a Cloud Data Engineer in Pune to build and maintain robust, scalable data infrastructure and deployment pipelines. You will work with data pipelines, data warehouses and data lakes, ensuring data accuracy and security while enabling analytics at scale.

The role requires hands-on experience with AWS services (Databricks, S3, EC2, Lambda, RDS, Glue, Athena) and Hadoop ecosystem components, plus SQL, Python and shell scripting.

Qualifications

  • Experience with data engineering and big data stacks.
  • Proficiency in SQL and Python for data processing.
  • Cloud-based data tools and distributed computing knowledge.

Responsibilities

  • Build and maintain data pipelines, data warehouses and data lakes with security in mind.
  • Design processing and analysis algorithms for large, complex datasets.
  • Collaborate with data scientists to deploy ML models into production.
  • Manage container platforms including OpenShift and Kubernetes.

Skills

OpenShift
Kubernetes
Data pipelines
Data warehouse
Data lakes
ML models
AWS Databricks
Hadoop
SQL
Python
Shell scripting

Tools

Databricks

Job description

Join us as a Cloud Data Engineer, at Barclays, where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions.

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

  • Manage and support container platforms including OpenShift and Kubernetes environments.
  • Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
  • Design and implementation of data warehouse 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.
  • AWS hands on with Databricks, S3, EC2, Lambda, RDS, Glue, Athena, data pipelines, step function and knowledge of Analytical services.
  • Experience of distributed computing architecture, Core Hadoop components (HDFS, Spark, Yarn, HIVE, Impala).

Some other highly valued skills may include:

  • 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.
  • Expertise in SQL, advanced SQL skills.
  • Expertise in shell scripting and programming (Python).

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.

The role is based out of 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 workand 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.

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