Job Location: Pune
Job Title: Machine Learning Engineer
Location: Pune
About Barclays
Barclays is a British universal bank. We are diversified by business, by different types of customers and clients, and by geography. Our businesses include consumer banking and payments operations around the world, as well as a top-tier, full service, global corporate and investment bank, all of which are supported by our service company which provides technology, operations and functional services across the Group.
Risk and Control Objective
Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Barclays Policies and Policy Standards.
Working Flexibly
We’re committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognises and supports ways to balance your personal needs, alongside the professional needs of our business. Providing the opportunity for all our employees, globally to work flexibly empowers each of us to work in a way that suits our lives as well as enabling us to better service our customers’ and clients’ needs. Whether you have family commitments or you’re a career, or whether you need study time or wish to pursue personal interests, our approach to working flexibly is designed to help you balance your life.
If you would like some flexibility, then please discuss this with the hiring manager.
As Data Engineer, you will be responsible for creating and optimizing data and data pipeline for Machine learning projects, writing Pyspark code for ETL operation on source data, data wrangler, data profiling & aggregation for preparing model ready data. The Data Engineer will support our designers, data analysts and data scientists on different project initiatives and will ensure optimal project delivery. You must be self-directed and comfortable supporting the development requirement which includes creation of ML framework, component and creation of data pipeline in Pyspark, Hive, MLiB for end to end (E2E) product lifecycle roadmaps. You will also act as a Data Enabler for ML use cases as well as any insights generation task
The individual would need to gain a good data understanding of all the source systems so as to support any downstream Use-Case/MI/Reporting requirements.
What will you be doing?
- Working closely with designers, data scientist and understand requirement, build ML component around it, which includes data pipeline, ETL, MRD preparation
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- Writing Unix script and TWS schedulers for code executions.
- Deploy sophisticated analytics programs, Machine Learning Model using devOps Pipeline.
- Supporting E2E project implementation starting from Requirement analysis till Go Live.
- Collaborating with other internal and supplier teams as required delivering the E2E solution
- Provide estimates & impact assessments for small / medium complexity engineering work.
- Ensuring quality and integrity throughout the various phases of the software development lifecycle.
- Review test strategies to guarantee the quality of the delivered system, assist in the diagnosis of system problems encountered during testing.
- Assist in the resolution of live incidents and system problems as and when required.
- work closely with the Data scientist and testing specialists within the team to ensure they have understood your solution.
What we’re looking for:
- Advanced working knowledge of big data technologies like Pyspark, hive, MLiB & Hadoop eco system
- Strong knowledge of full Hadoop/Spark, ETL, Data modelling, ApaaS skills.
- Experience in performing root cause analysis on internal and external processes to answer specific business questions and identify opportunities for improvement.
- Graduate with preferred specialisation in IT, Mathematics with relevant work experience or satisfying the relevant skills (above).
Skills that will help you in the role:
- Exposure to Banking and Finance domains, as well as technology within banking/finance.
- Awareness of management information tools and systems.
- Governance and compliance policies, standards, and procedures required to fulfil role e.g. LCP On boarding
- Able to solve problems with data and to understand relevance to the wider objective.
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
Where will you be working?
Pune
Be More at Barclays
At Barclays, each day is about being more – as a professional, and as a person. ‘Be More @ Barclays’ represents our core promise to all current and future employees. It’s the characteristic that we want to be associated with as an employer, and at the heart of every employee experience. We empower our colleagues to Be More Globally Connected, working on international projects that improve the way millions of customers handle their finances. Be More Inspired by working alongside the most talented people in the industry, and delivering imaginative new solutions that are redefining the future of finance. Be More Impactful by having the opportunity to work on cutting-edge projects, and Be More Valued for who you are.
Interested and want to know more about Barclays? Visit home.barclays/who-we-are/ for more details.
Our Values
Purpose and Values
We deploy finance responsibly to support people and businesses, acting with empathy and integrity, championing innovation and sustainability, for the common good and the long term.
Our values underpin everything we do: Respect, Integrity, Service, Excellence and Stewardship.
Respect
We harness the power of diversity and inclusion in our business, trust those we work with, and value everyone’s contribution.
Integrity
We operate with honesty, transparency and fairness in all we do.
Service
We act with empathy and humility, putting the people and businesses we serve at the centre of what we do.
Excellence
We champion innovation, and use our energy, expertise and resources to make a positive difference.
Stewardship
We prize sustainability, and are passionate about leaving things better than we found them.
Our Diversity
We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included and their talents are nurtured, empowering them to contribute fully to our vision and goals.
Our Benefits
Our customers are unique. The same goes for our colleagues. That’s why at Barclays we offer a range of benefits, allowing every colleague to choose the best options for their personal circumstances. These include a competitive salary and pension, health care and all the tools, technology and support to help you become the very best you can be. We are proud of our flexible working options for colleagues. If you have a need for flexibility, then please discuss this with us.
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