Experience with SQL, NoSQL, and data visualization tools. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior analysis. Knowledge of big data technologies like Hadoop, Spark, Kafka. Familiarity with AWS machine learning services such as SageMaker and Comprehend. Understanding of data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail More ❯
e.g., Kubernetes). Preferred Skills: Experience with feature stores (e.g., Feast, Tecton). Knowledge of distributed training (e.g., Horovod, distributed PyTorch). Familiarity with big data tools (e.g., Spark, Hadoop, Beam). Understanding of NLP, computer vision, or time series analysis techniques. Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP More ❯
visualization tools such as Tableau, Power BI, or similar to effectively present validation results and insights. Nice-to-Have Requirements Familiarity with big data tools and technologies, such as Hadoop, Kafka, and Spark. Familiarity with data governance frameworks and validation standards in the energy sector. Knowledge of distributed computing environments and model deployment at scale. Strong communication skills, with More ❯
Informatica, or Talend) and scripting (e.g., Python, Shell). Understanding of database security best practices and regulatory requirements (e.g., Experience with NoSQL or big data technologies (e.g., MongoDB, Cassandra, Hadoop). Qualifications: Familiarity with DevOps pipelines and Infrastructure as Code (e.g., Terraform, Liquibase). Certifications such as Microsoft Certified: Azure Database Administrator Associate, Oracle Database SQL Certified Associate, or … AWS Certified Database – Specialty Exposure to BI/reporting tools like Power BI, Tableau, or Looker. Experience with NoSQL or big data technologies (e.g., MongoDB, Cassandra, Hadoop). Active DoD 8570-compliant certification (e.g., Security+, CASP+, CISSP). Experience with cloud platforms such as AWS GovCloud, Azure Government. Familiarity with configuration management tools (e.g., Ansible, Puppet). Experience in More ❯
platforms (AWS, Azure, GCP) and deploying models. Ability to use data visualization tools like Tableau or Power BI. Nice-to-Have Skills Knowledge of big data tools such as Hadoop, Kafka, Spark. Understanding of data governance and validation standards in energy. Experience with distributed computing and large-scale deployment. Strong communication skills for explaining complex validation results. Join GE More ❯
with cloud platforms (AWS, Azure, GCP) and deploying models. Ability to use data visualization tools like Tableau or Power BI. Nice-to-Have: Familiarity with big data tools like Hadoop, Kafka, Spark. Knowledge of data governance and validation standards in energy. Experience with distributed computing and large-scale deployment. Strong communication skills for explaining complex validation results. At GE More ❯
building finance systems on cloud platforms like AWS S3, Snowflake, etc. Preferred Qualifications Interest or knowledge in investment banking or financial instruments. Experience with big data concepts, such as Hadoop for Data Lake. Experience with near real-time transactional systems like Kafka. Experience in Business Process Management (BPM). ABOUT GOLDMAN SACHS At Goldman Sachs, we dedicate our people More ❯
