1 to 25 of 577 Remote/Hybrid ETL Jobs

architecture, data engineering, or analytics consulting Deep expertise with at least one major cloud platform (Azure, AWS, or GCP) Strong understanding of lakehouse architectures, ETL/ELT design, and distributed data storage Hands-on experience with Microsoft Fabric, Databricks, or Snowflake Proficiency in SQL, Python, and enterprise data modeling (Kimball ...

other core systems are leveraged to their full potential. Essential Skills & Experience: Data Analysis & Visualisation: Proven ability to analyse operational data, identify trends, and extract actionable insights. Proficiency in SQL and data visualisation tools (specifically Power BI). ETL & Data Migration Experience: Experience working with ETL (Extract, Transform, Load) processes. … stakeholders. Preferred Skills & Experience: Direct experience leading a software decommissioning or tool-migration project. Experience with Python or R for advanced data analysis and ETL scripting. Experience working with Big Data environments and cloud-based platforms (e.g., Microsoft Azure, Google Cloud Platform). Salesforce Administrator or Developer certifications (or equivalent ...

roadmap, ensuring alignment with cutting-edge engineering practices. Develop secure and observable ingestion and transformation pipelines. Pipeline Development & Operations: Spearhead the migration from legacy ETL tools to modern Azure-based pipelines, using Azure Functions, Azure Data Factory (ADF), and event-driven frameworks. Build and maintain high-performance SQL transformations, curated ...

will work within a modern Microsoft data ecosystem including: Microsoft Azure Microsoft Fabric Power BI SQL Python Data Lake technologies API Integrations Data Warehousing ETL/ELT Frameworks Data Modelling Analytics and Reporting Platforms Essential Skills & Experience Strong commercial experience as a Senior Data Engineer, Data Architect or Lead Data ...

and problem-solving skills Ability to work independently and collaboratively in a fast-paced environment Desirable Skills Microsoft Fabric experience Databricks or Snowflake exposure ETL/data integration tool experience API integration experience Python scripting/automation knowledge Experience working with complex or regulated datasets Understanding of data governance frameworks ...

collaboration with project managers and Scrum Masters Skills & Experience Proven experience delivering data solutions, with a strong understanding of: Relational databases Data warehousing concepts ETL processes and data modelling Advanced T-SQL skills Experience working in Agile delivery environments, using tools such as Kanban boards and CI/CD pipelines ...

support safety, performance, regulatory compliance, and strategic decision‐making. Some of the main responsibilities of the Data Analyst will include: Develop and maintain robust ETL/ELT pipelines using Azure Data Factory to ingest data from operational systems, sensors, maintenance logs, and regulatory datasets. Use Azure Databricks (SQL/PySpark ...

Kimball, Data Vault) Experience exposing Delta Lakehouse to Power BI or Tableau Skilled in Python, Scala or SQL for data engineering Experience building scalable ETL pipelines (Workflows, Delta Live Tables) Hands-on experience with Azure, AWS or GCP (storage, compute, networking) Knowledge of Databricks security: RBAC, IAM, encryption Excellent analytical ...

and dashboards. ·Foundational knowledge of Python for data manipulation, automation, or analysis. ·Experience with cloud data environments such as Azure or AWS. ·Familiarity with ETL tools, or similar data‐integration technologies. ·Understanding of data modelling concepts. ·Familiarity with legal industry data and metrics. Equal Opportunities Our approach to our people ...

experience implementing modern designs using at least one cloud-based solution/platform (AWS, Azure, GCP) Advanced level proficiency with at least one ETL/Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion) Experience cloud-based data warehousing and data lake solutions like Snowflake ...

management, and compliance with DoW regulations to promote consistency and reliability across hybrid environments. Collaborates with stakeholders to define enterprise data strategies, optimize pipelines (ETL/ELT), and incorporate technologies such as cloud platforms (e.g., AWS GovCloud, Azure Government), Big Data tools (e.g., Spark, Hadoop), and relational/NoSQL databases ...

teamwork skills. Experience with cloud data platforms such as Databricks or Snowflake on AWS. Strong skills in Python, PySpark, and SQL. Good understanding of ETL/ELT pipelines and data transformation. Experience with data modelling and database optimisation. Strong knowledge of DBT and SQL best practices. Experience using CI/ ...

work comfortably within the access controls and compliance requirements of a federal environment. Key Responsibilities Design, build, and maintain scalable ELT/ETL data pipelines ingesting structured and semi-structured data from cloud services, APIs, databases, and file sources into BigQuery and other cloud data warehouses. Develop and manage data ...

work comfortably within the access controls and compliance requirements of a federal environment. Key Responsibilities Design, build, and maintain scalable ELT/ETL data pipelines ingesting structured and semi-structured data from cloud services, APIs, databases, and file sources into BigQuery and other cloud data warehouses. Develop and manage data ...

helping to design, build, and maintain scalable data pipelines and cloud-based data solutions. Key Responsibilities • Design, build, and maintain scalable data pipelines and ETL processes. • Develop and optimise data models for analytics and reporting. • Work closely with software engineers, analysts, and stakeholders. • Ensure data quality, reliability, and performance. • Implement ...

Data Engineer should have: Strong experience designing and building scalable data platforms in Azure. Deep expertise in Azure Data Factory, SQL, and Python for ETL/ELT pipelines Proven ability to lead, mentor, and develop data engineering teams Hands-on experience with data warehousing, modelling, and performance tuning Solid understanding ...

Synapse, Azure Data Factory, and Azure Fabric. Developing and fine-tuning PySpark notebooks to efficiently manage large-scale data workloads. Implementing, troubleshooting, and enhancing ETL/ELT workflows in Azure Synapse and Microsoft Fabric. Managing and organizing Data Lakes for seamless data access and high performance. Integrating AI/ ...

Description Job Description What Impact You'll Have GRVTY's team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities. … meet mission objectives. Develop code and tools to provide one-time & on-going data formatting & transformations into enterprise or boutique data models. Implement existing ETL code & best practices/standards. Develop an ETL Code Transition Plan. Develop & deliver documentation for each project including ETL mappings, code use guide, code location ...

Programming & Frameworks Strong Python development skills PyTorch TensorFlow Scikit-Learn LangChain LangGraph Hugging Face FastAPI REST APIs Data Technologies SQL NoSQL Databases Data Modelling ETL Development Data Pipeline Engineering Vector Databases such as Pinecone, Weaviate or ChromaDB Cloud & DevOps Experience with at least one major cloud platform: AWS (preferred) Bedrock ...

Programming & Frameworks Strong Python development skills PyTorch TensorFlow Scikit-Learn LangChain LangGraph Hugging Face FastAPI REST APIs Data Technologies SQL NoSQL Databases Data Modelling ETL Development Data Pipeline Engineering Vector Databases such as Pinecone, Weaviate or ChromaDB Cloud & DevOps Experience with at least one major cloud platform: AWS (preferred) Bedrock ...

and develop scalable BI solutions, data models, dashboards, and reporting frameworks that turn complex data into clear business insights. Key responsibilities include: Building automated ETL/ELT pipelines and data models Creating dashboards and reports for senior leaders and business users Improving data quality, documentation, and governance Optimising SQL queries ...

application to our client in conjunction with this vacancy only. KEY SKILLS Data Engineering, Databricks, Apache Spark, PySpark, SQL, Python, Kafka, AWS, Delta Lake, ETL, Data Pipelines, CI/CD, Big Data ...

environments is beneficial Experience with MLOps practices and tools (CI/CD pipelines, model monitoring, versioning) Strong understanding of data engineering concepts (ETL pipelines, data lakes, feature engineering) Experience working with large-scale structured and unstructured datasets Knowledge of AI ethics, bias mitigation, and model governance Comfortable working in Agile ...

solutions aligned to their analytical needs Build modern Data Warehouse and Data Lake/Lakehouse solutions (primarily using Microsoft Fabric) Design and develop complex ETL/ELT pipelines Deliver secure, scalable, and high-performing data platforms and infrastructure Implement best practices across data architecture, performance, and security Produce clear technical ...

Understanding: Strong knowledge of distributed processing (e.g. Apache Spark). Familiarity with Hadoop ecosystem components. Working knowledge of SQL and NoSQL technologies. Understanding of ETL/ELT design trade-offs. Awareness of DevOps practices and CI/CD for data platforms. Understanding of how ML/AI workloads integrate into ...