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Barclays

AWS Data Engineer

Posted 3 Days Ago
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In-Office
Pune, Maharashtra, IND
Senior level
In-Office
Pune, Maharashtra, IND
Senior level
Design, develop and deliver scalable AWS-based data solutions and ETL pipelines using Python/PySpark, Snowflake, and AWS analytics services. Collaborate across teams, implement secure coding and unit testing, optimise data ingestion and transformations, and support project delivery and stakeholder engagement.
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Job Description

Purpose of the role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. 

Accountabilities

  • Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
  • Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
  • Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
  • Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
  • Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
  • Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

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.

As an AWS Data Engineer, you are 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 an AWS Data Engineer, you should have experience with:

  • Hands on experience in python and pyspark and strong knowledge on Dataframes, RDD and SparkSQL
  • Experience in using Orchestration tools such as Apache Airflow or Snowflake
  • Hands on Experience in developing, testing 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 Writing advanced SQL and PL SQL programs.
  • Experience in AWS data pipeline development.
  • Hands On Experience for building reusable components using Snowflake and AWS Tools/Technology
  • Should have worked at least on two major project implementations.
  • Experience in using Orchestration tools such as Apache Airflow or Snowflake
  • Knowledge on Abinitio ETL tool is a plus

Some other highly valued skills may include:

  • 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.
  • Implement Cloud based Enterprise data warehouse with multiple data platform along with Snowflake and NoSQL environment to build 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.

Barclays Pune, Mahārāshtra, IND Office

Pune, Maharashtra , India, 411014

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