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A career in Data & Analytics at Barclays is a hub for top talent, from beginners to experts, fostering innovation and excellence. You'll drive business strategy, leverage data potential, and enhance the experience of millions of customers in today’s data-driven world. Join us as a Data Engineer 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. Purpose of the role: To enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports.
Job Responsibility:
Support the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards
Spearhead the evolution of our digital landscape, driving innovation and excellence
Harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences
Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement
Designing and building data pipelines to automate data movement and processing
Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI
Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements
Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs
Requirements:
Hands on experience in pyspark and strong knowledge on Dataframes, RDD and SparkSQL
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 using DBT (Data Build Tool) with snowflake for ELT pipeline development
Experience in Writing advanced SQL and PL SQL programs
Hands On Experience for building reusable components using Snowflake and AWS Tools/Technology
Should have worked at least on two major project implementations
Nice to have:
Exposure to data governance or lineage tools such as Immuta and Alation is added advantage
Experience in using Orchestration tools such as Apache Airflow or Snowflake Tasks is added advantage
Knowledge on Abinitio ETL tool is a plus
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
What we offer:
Hybrid working
Structured approach to hybrid working with fixed, ‘anchor’, days onsite
Supportive and inclusive culture and environment
Commitment to flexible working arrangements
International scale offering incredible variety, depth and breadth of experience
Chance to learn from a globally diverse mix of colleagues
Encouragement to embrace mobility and explore every part of operations
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