Data Engineer
Barclays · Posted Oct 12
Banking, credit card, corporate, investment banking, and wealth management services
Chennai, IndiaFull-timeOnsiteSenior Level5+ years₹18.0L–₹28.0L yearly100+ applicants
BankingFinancial ServicesInvestment BankingCredit CardsWealth ManagementPublic Company
Full time
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About the role
Barclays is seeking a Data Engineer to support the successful delivery of Location Strategy projects, spearheading the evolution of their digital landscape. The role involves Qlik platform administration and development, data integration with Snowflake and AWS S3, and service management for enterprise BI platforms. You will work with cutting-edge technology to revolutionize digital offerings and ensure unparalleled customer experiences.
What you will do
- Install, configure, administer, and maintain Qlik Sense and QlikView environments, including single-node and multi-node deployments.
- Manage platform upgrades, migrations, patching, and lifecycle management of QlikView and Qlik Sense environments.
- Monitor server health, capacity, CPU utilization, memory consumption, and overall platform performance.
- Administer Qlik Management Console (QMC), user access, security rules, streams, licenses, tasks, and triggers.
- Troubleshoot and resolve platform issues related to application performance, data reload failures, security, access management, and system stability.
- Maintain server logs, platform backups, disaster recovery processes, and operational documentation.
- Synchronize content, applications, and users across Qlik environments.
- Collaborate with infrastructure and security teams to establish and maintain user management and security policies.
- Ensure platform availability, operational stability, and compliance with enterprise standards.
- Design, develop, and maintain enterprise-grade dashboards, reports, and analytical applications using QlikView and Qlik Sense.
- Work closely with business stakeholders to gather requirements and translate them into scalable analytics solutions.
- Develop optimized data models, ETL scripts, and reusable reporting frameworks.
- Create interactive visualizations, KPIs, scorecards, and executive dashboards to support decision-making.
- Perform application tuning and optimization to improve dashboard performance and user experience.
- Support application releases, migrations, and production deployments.
- Integrate Qlik applications with various enterprise data sources, including Snowflake, AWS S3, Oracle, SQL Server, MongoDB, and other databases.
- Manage bulk data loading and unloading activities using Snowflake COPY commands.
- Handle structured and semi-structured data formats such as JSON, CSV, ORC, and PARQUET.
- Develop and manage Snowpipe for continuous data ingestion from AWS S3.
- Create and maintain Snowflake stored procedures, cloning strategies, and data transformation processes.
- Utilize Snowflake capabilities such as COPY, LIST, PUT, GET, FLATTEN, and zero-copy cloning.
- Support data warehouse optimization and data integration initiatives across multiple source systems.
- Support mission-critical BI platforms and ensure availability of reporting services for global business users.
- Manage day-to-day platform operations, incidents, service requests, problems, and change activities.
- Coordinate with development teams, vendor partners, infrastructure teams, and business stakeholders for onboarding, migration, releases, and platform enhancements.
- Conduct root cause analysis and implement permanent fixes for recurring issues.
- Participate in incident triage and support major incident management activities.
- Drive operational automation and continuous service improvement initiatives.
- Ensure adherence to enterprise governance, security, DevOps, and Agile delivery standards.
- 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.
Skills used in this role
What the employer is looking for
- Strong experience in QlikView and Qlik Sense Administration and Development.
- Hands-on expertise in installation, configuration, migration, upgrade, and support of Qlik environments.
- Experience administering QMC, security rules, task scheduling, streams, licenses, and user access management.
- Strong experience in dashboard development, data modeling, and Qlik scripting.
- Experience working with Snowflake Data Warehouse.
- Strong understanding of AWS S3 integration with Snowflake and Qlik platforms.
- Hands-on experience handling JSON, CSV, PARQUET, and ORC data formats.
- Strong SQL and PL/SQL skills.
- Experience working with Oracle, SQL Server, MongoDB, and other relational/non-relational databases.
- Good understanding of Windows Server environments and platform administration.
- Strong networking fundamentals including SSL Certificates, Load Balancers, DNS, IP routing, and security concepts.
- Experience with Linux/Unix operating systems.
- Familiarity with enterprise scheduler tools such as Tivoli, Autosys, or equivalent.
- Understanding of CI/CD pipelines, deployment automation, and DevOps practices.
- Experience supporting enterprise BI platforms in production environments.
- Strong troubleshooting and incident management experience.
- Knowledge of ITIL processes including Incident, Problem, Change, and Event Management.
- Excellent communication, stakeholder management, and documentation skills.
Preferred qualifications
- Experience with Qlik NPrinting administration and report distribution.
- Experience supporting SAP BusinessObjects (BO) and Tableau platforms.
- Knowledge of Qlik Cloud / Qlik Sense SaaS environments.
- Experience with AWS cloud services and cloud-native data architectures.
- Familiarity with Infrastructure as Code (IaC) and automation scripting using PowerShell, Python, or Shell scripting.
- Exposure to Agile, Lean Control Frameworks, and DevOps operating models.
- Experience working in large-scale enterprise environments supporting global business users.
- Relevant certifications in Qlik, Snowflake, AWS, or Data Engineering technologies.
- Proven experience in enterprise-scale Qlik platform support, migration, and modernization initiatives.
- Ability to manage both platform administration and dashboard development responsibilities.
- Experience working with global stakeholders, vendor teams, and cross-functional delivery organizations.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Barclays
Barclays is a British multinational universal bank that provides consumer, corporate, and investment banking, as well as wealth management services. Tracing its origins back to 1690 in London, the institution operates globally to serve millions of retail and institutional clients. The bank leverages cutting-edge technology and digital platforms to drive operational efficiency across its international network.
- Industry
- Banking
- Company size
- 93000+ employees
- Founded
- 1690
- Location
- London, United Kingdom
- Funding stage
- Public Company
Leadership
CV
C.S. Venkatakrishnan
Group Chief Executive
AC
Anna Cross
Group Finance Director
AC
Alistair Currie
Group Chief Operating Officer
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