201 to 225 of 462 Remote/Hybrid ETL Jobs

and architecting conceptual, logical and physical models Proven experience with SQL and NoSQL databases including PostgreSQL, MySQL, DynamoDB and Bigtable Hands on experience building ETL and ELT pipelines and optimising data transformations Practical knowledge of AWS including Kinesis, S3 and Redshift, and GCP including Pub/Sub and BigQuery Experience ...

Experience working with SQL/Snowflake or other modern data platforms Strong, modern Python development experience. Some experience building and maintaining data pipelines, ETL processes, or data-intensive backend services A collaborative working style and clear communication across technical and non-technical stakeholders. A keen desire to want to learn ...

and curation for large-scale datasets Preferred Qualifications Knowledge or interestin investment banking or financial instruments Experience with big data concepts, such as Lakehouse, ETL data pipelines (e.g. Spark, AWS Glue) Experience with near real time and event-based systems like Kafka Goldman Sachs Highlights At Goldman Sachs, we commit ...

Azure) and containerisation tools (e.g., Docker, Kubernetes). Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines). Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI) Strong problem-solving abilities, with the capacity to learn quickly and adapt in a fast-paced ...

including audit trails, confidence scoring, and human-in-the-loop controls. Background in traditional ML or data engineering, including feature pipelines, model training, and ETL, is preferred. MongoDB or other NoSQL database experience is preferred. Prior exposure to insurance domain concepts such as underwriting, claims, and policy administration is preferred. ...

preferred, as HubSpot is and will remain the primary source of data Hands-on experience with at least one iPaaS, Master Data Management or ETL/ELT platform (for example Workato, Celigo, Boomi, Tray.io, Informatica, MuleSoft or Syncari). Syncari-specific experience is not required, and structured onboarding and ramp ...

processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands‐on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and ...

complex datasets Strategic thinker, comfortable structuring a nebulous problem statement and working it through to a clear recommendation Working knowledge of Python Familiarity with ETL workflows and debugging data issues Proven experience with A/B testing design and interpretation Hands-on experience with visualisation tools (Looker, Tableau, or similar ...

processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and ...

processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and ...

processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and ...

processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and ...

processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and ...

processing (NLP) techniques, and the optimization of large language models for enterprise deployment. Data Engineering & Cloud Computing: Strong proficiency in designing optimized ELT/ETL pipelines and managing data lake/data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and ...

Delta Lake. Develop and implement modern Lakehouse architectures, applying Medallion (Bronze, Silver, Gold) design principles to support trusted and reusable data products. Build robust ETL and ELT processes that ingest, transform and curate large, complex and diverse datasets. Drive best practice in data quality, monitoring, alerting and operational support … Databricks, PySpark, Spark SQL and Delta Lake. Experience designing and implementing Lakehouse architectures, including Medallion (Bronze, Silver, Gold) data models. Expertise in developing scalable ETL/ELT pipelines capable of handling large and complex datasets. Understanding of modern cloud data platforms, particularly Azure and/or AWS. Experience implementing data ...

data engineers, providing technical guidance, data product development and fostering a collaborative environment. Design, develop, and maintain robust and scalable data pipelines and ETL processes to support data integration, transformation, and storage needs. Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and … incidents. What We Need From You Proven experience (5+ years) working as a Data Engineer, with a focus on designing and implementing data pipelines, ETL processes, data warehouses and stakeholder/data consumer management. Strong programming skills in languages such as Python, familiarity with large scale, distributed data processing engines ...

better use of modern Microsoft-based data and integration technologies. Design, develop and maintain automated data integrations between business applications. Build, support and optimise ETL/ELT processes and automated data pipelines. Develop automation solutions using APIs, scheduled processes and event-driven workflows. Monitor, troubleshoot and optimise data automation processes … years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role. Strong SQL Server and T-SQL skills. Experience developing ETL/ELT processes and data pipelines. Experience with APIs, integrations and data exchange technologies. Experience using Microsoft Azure services. Experience with Microsoft Fabric or similar cloud data ...

better use of modern Microsoft-based data and integration technologies. Design, develop and maintain automated data integrations between business applications. Build, support and optimise ETL/ELT processes and automated data pipelines. Develop automation solutions using APIs, scheduled processes and event-driven workflows. Monitor, troubleshoot and optimise data automation processes … years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role. Strong SQL Server and T-SQL skills. Experience developing ETL/ELT processes and data pipelines. Experience with APIs, integrations and data exchange technologies. Experience using Microsoft Azure services. Experience with Microsoft Fabric or similar cloud data ...

better use of modern Microsoft-based data and integration technologies. Design, develop and maintain automated data integrations between business applications. Build, support and optimise ETL/ELT processes and automated data pipelines. Develop automation solutions using APIs, scheduled processes and event-driven workflows. Monitor, troubleshoot and optimise data automation processes … years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role. Strong SQL Server and T-SQL skills. Experience developing ETL/ELT processes and data pipelines. Experience with APIs, integrations and data exchange technologies. Experience using Microsoft Azure services. Experience with Microsoft Fabric or similar cloud data ...

better use of modern Microsoft-based data and integration technologies. Design, develop and maintain automated data integrations between business applications. Build, support and optimise ETL/ELT processes and automated data pipelines. Develop automation solutions using APIs, scheduled processes and event-driven workflows. Monitor, troubleshoot and optimise data automation processes … years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role. Strong SQL Server and T-SQL skills. Experience developing ETL/ELT processes and data pipelines. Experience with APIs, integrations and data exchange technologies. Experience using Microsoft Azure services. Experience with Microsoft Fabric or similar cloud data ...

better use of modern Microsoft-based data and integration technologies. Design, develop and maintain automated data integrations between business applications. Build, support and optimise ETL/ELT processes and automated data pipelines. Develop automation solutions using APIs, scheduled processes and event-driven workflows. Monitor, troubleshoot and optimise data automation processes … years’ experience in Data Engineering, Integration Engineering, Automation Engineering or a similar role. Strong SQL Server and T-SQL skills. Experience developing ETL/ELT processes and data pipelines. Experience with APIs, integrations and data exchange technologies. Experience using Microsoft Azure services. Experience with Microsoft Fabric or similar cloud data ...

finance function, including reconciliation and control checks. Regulatory reporting - building and maintaining submissions to trade repositories and regulators. Responsibilities include: Build and maintain Python ETL pipelines from core platform to reporting datasets. Develop reconciliation and data quality checks, and investigate breaks. Work directly with finance, operations and compliance teams ...

coaching and mentoring others. Strong Microsoft SQL Server experience, including queries, stored procedures, scripts and database objects. Experience creating or supporting data feeds, ETL/ELT processes, integrations or data pipelines. Ability to translate business requirements into technical solutions. Experience using source control tools such as Git. Experience developing ...

and optimize scalable data pipelines using Databricks, PySpark, Python and SQL, gaining hands-on experience with Delta Lake and lakehouse architectures. You will build ETL/ELT workflows, monitor performance, mentor juniors and contribute to cloud data platforms across AWS, Azure or GCP, with a focus on reliability, quality data ...

/Sub, SQS). Familiarity with AI/LLM systems (AOE integration), though not required across all charters. Knowledge of data engineering patterns or ETL/ELT workflows. Prior experience with API gateway architectures, caching layers, or service meshes. Exposure to cybersecurity best practices and secure service design. Additional Information ...