on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda). Strong background in data architecture, including data modeling, warehousing, real-time and batchprocessing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost More ❯
on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda). Strong background in data architecture, including data modeling, warehousing, real-time and batchprocessing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost More ❯
on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda). Strong background in data architecture, including data modeling, warehousing, real-time and batchprocessing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost More ❯
on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda). Strong background in data architecture, including data modeling, warehousing, real-time and batchprocessing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost More ❯
on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda). Strong background in data architecture, including data modeling, warehousing, real-time and batchprocessing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost More ❯
on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda). Strong background in data architecture, including data modeling, warehousing, real-time and batchprocessing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost More ❯
on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda). Strong background in data architecture, including data modeling, warehousing, real-time and batchprocessing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost More ❯
management UI applications Development experience with databases such as Snowflake, Sybase IQ, and distributed systems like HDFS Ability to interact with business users for issue resolution Design and support batch processes with scheduling infrastructure Leadership in guiding junior team members through SDLC phases Skills and Experience Bachelor's degree in Computer Science, Mathematics, Electrical Engineering, or related field … like Apache Airflow Willingness to work with proprietary technologies like Slang/SECDB Understanding of compute resources and performance metrics Knowledge of distributed computing frameworks like DASK and cloud processing Experience managing projects through entire SDLC About Goldman Sachs Goldman Sachs is a leading global investment banking, securities, and investment management firm, founded in 1869 and headquartered in New More ❯
risk management actions Develop software for calculations using databases like Snowflake, Sybase IQ and distributed HDFS systems. Interact with business users for resolving issues with applications. Design and support batch processes using scheduling infrastructure for calculation and distributing data to other systems. Oversee junior technical team members in all aspects of Software Development Life Cycle (SDLC) including design, code … and the ability to interpret performance metrics (e.g., CPU, memory, threads, file handles). Knowledge and experience in distributed computing - parallel computation on a single machine like DASK, Distributed processing on Public Cloud. Knowledge of SDLC and experience in working through entire life cycle of the project from start to end ABOUT GOLDMAN SACHS At Goldman Sachs, we commit More ❯
risk management actions Develop software for calculations using databases like Snowflake, Sybase IQ and distributed HDFS systems. Interact with business users for resolving issues with applications. Design and support batch processes using scheduling infrastructure for calculation and distributing data to other systems. Oversee junior technical team members in all aspects of Software Development Life Cycle (SDLC) including design, code … and the ability to interpret performance metrics (e.g., CPU, memory, threads, file handles). Knowledge and experience in distributed computing - parallel computation on a single machine like DASK, Distributed processing on Public Cloud. Knowledge of SDLC and experience in working through the entire life cycle of the project from start to end. ABOUT GOLDMAN SACHS At Goldman Sachs, we More ❯
risk management actions • Develop software for calculations using databases like Snowflake, Sybase IQ and distributed HDFS systems. • Interact with business users for resolving issues with applications. • Design and support batch processes using scheduling infrastructure for calculation and distributing data to other systems. • Oversee junior technical team members in all aspects of Software Development Life Cycle (SDLC) including design, code … and the ability to interpret performance metrics (e.g., CPU, memory, threads, file handles). • Knowledge and experience in distributed computing - parallel computation on a single machine like DASK, Distributed processing on Public Cloud. • Knowledge of SDLC and experience in working through entire life cycle of the project from start to end ABOUT GOLDMAN SACHS At Goldman Sachs, we commit More ❯
Warwick, Warwickshire, West Midlands, United Kingdom
Hays
Training & Support: Provide guidance and training to team members on monitoring tools and best practices for incident management. Skills & Qualifications * Technical Expertise: Strong understanding of Oracle HCM systems, OLTP, batchprocessing, workflows, database operations and ITIL. * Monitoring Tools Knowledge: Proficiency in Business Service Management (BSM) tools or similar monitoring platforms. * Problem-Solving Skills: Ability to analyse complex issues More ❯
Employment Type: Permanent
Salary: Up to £400.0 per day + £400 p/d inside IR35
