Join us a ETL Developer at Barclays where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences.

You may be assessed on the key critical skills relevant for success in role, such as experience with Python, Django, Conda, pandas, numpy, experience in reporting and analytics tool like Tableau, QlikView and Alteryx, tech skills like Spark, Immuta, Unix, Messaging (Kafka), Big Data (Handoop), as well as job-specific technical skills.

Additional relevant skills in storage technologies like Handoop, MongoDB, Document DB as well as Test Driven Development, Continuous Delivery and System integration skills are highly valued.

This role is based in Pune.

Barclays is required by law to confirm that you have the Legal Right to Work in any role that you apply for. If you currently hold a work visa sponsored by Barclays, or you would require sponsorship from Barclays, you must declare this as part of your application. Sponsored visas are role and entity specific and any changes must be reviewed. It is important that you ensure you are working on the correct visa at all times. Failure to accurately disclose your visa status or Legal Right to Work may result in your  application or any employment offer being withdrawn at any time.

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

Execute work requirements as identified in processes and procedures, collaborating with and impacting on the work of closely related teams.Check work of colleagues within team to meet internal and stakeholder requirements.Provide specialist advice and support pertaining to own work area.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 all teams in area contribute to the objectives of the broader sub-function, delivering impact on the work of collaborating teams.Continually develop awareness of the underlying principles and concepts on which the work within the area of responsibility is based, building upon administrative / operational expertise.Make judgements based on practise and previous experience.Assess the validity and applicability of previous or similar experiences and evaluate options under circumstances that are not covered by procedures.Communicate sensitive or difficult information to customers in areas related specifically to customer advice or day to day administrative requirements.Build relationships with stakeholders/ customers to identify and address their needs.

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.