The role involves building and maintaining systems that collect, store, process, and analyze data to ensure accuracy, accessibility, and security
Job Summary
The role involves building and maintaining systems that collect, store, process, and analyze data to ensure accuracy, accessibility, and security.
You will spearhead the evolution of the digital landscape by harnessing cutting-edge technology to revolutionize digital offerings and customer experiences.
Success requires leading a team or acting as an individual contributor while adhering to Barclays values of Respect, Integrity, Service, Excellence, and Stewardship.
Matching Summary
The role involves building and maintaining systems that collect, store, process, and analyze data to ensure accuracy, accessibility, and security.
Skills & Requirements
Must-have
Hands-on experience in Python and PySpark
Strong knowledge of Dataframes, RDD, and SparkSQL
Developing applications on AWS Cloud
AWS Data Analytics Stack: Glue, S3, Lambda, Lake Formation, Athena
Designing scalable solutions using Snowflake
Data ingestion for Parquet, Iceberg, JSON, CSV formats
Using DBT with Snowflake for ELT pipeline development
Writing advanced SQL and PL/SQL programs
Nice-to-have
Experience with Immuta or Alation for data governance
Exposure to Apache Airflow or Snowflake Tasks for orchestration
Knowledge of Abinitio ETL tool
Ability to engage stakeholders and elicit requirements
Understanding of infrastructure setup and solution provision
Good analytical and interpersonal skills
Key Requirements
At least two major project implementations
In-depth technical knowledge in assigned area
Leadership responsibilities or technical expertise as advisor
Experience with cloud-based enterprise data warehouse strategy