tuning skills. Preferred Qualifications Strong communication skills and demonstrated ability to engage with business stakeholders and product teams. Experience in data modeling , data warehousing (e.g., Snowflake , AWS Glue , EMR , ApacheSpark ), and working with data pipelines . Leadership experience—whether technical mentorship, team leadership, or managing critical projects. Familiarity with Infrastructure as Code (IaC) tools like Terraform , CloudFormation More ❯
of data points per day and create a highly available data processing and REST services to distribute data to different consumers across PWM. Technologies used include: Data Technologies: Kafka, Spark, Hadoop, Presto, Alloy - a data management and data governance platform Programming Languages: Java, Scala, Scripting Database Technologies: MongoDB, ElasticSearch, Cassandra, MemSQL, Sybase IQ/ASE Micro Service Technologies: REST … new tech stacks SKILLS AND EXPERIENCE WE ARE LOOKING FOR Computer Science, Mathematics, Engineering or other related degree at bachelors level Java, Scala, Scripting, REST, Spring Boot, Jersey Kafka, Spark, Hadoop, MongoDB, ElasticSearch, MemSQL, Sybase IQ/ASE 3+ years of hands-on experience on relevant technologies ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and More ❯
Lambda). Strong background in data architecture, including data modeling, warehousing, real-time and batch processing, 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 optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing More ❯
similar languages Knowledge of monitoring tools and alerting frameworks SQL experience including queries/updates/table creation/basic database maintenance Exposure to data technologies such as Kafka, Spark or Delta Lake is useful but not mandat Bachelor's degree in Computer Science, Engineering, or related technical field This role offers competitive compensation and the opportunity to work More ❯
looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you will work on cutting-edge projects, using data to drive strategic insights and business decisions. If you have strong analytical … Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we'd also like to hear about: Evidence of modelling experience applied More ❯
for real-world applications such as fraud detection, network analysis, and knowledge graphs. - Optimize performance of graph queries and design for scalability. - Support ingestion of large-scale datasets using Apache Beam, Spark, or Kafka into GCP environments. - Implement metadata management, security, and data governance using Data Catalog and IAM. - Work across functional teams and clients in diverse EMEA More ❯
