1 to 25 of 231 ETL Jobs with Hybrid or WFH Options

per day (Outside IR35). You must be immediately available. Key Responsibilities: Analyse existing data sources, structures, and formats. Develop data migration strategies and plans. Extract, transform, and load (ETL) data using Aperture - (non-negotiable) Experience in Oracle SQL or previous SQL Developer roles. Ensure data quality and accuracy throughout more »

PP, SD, MM, FI/CO by being a functional consultant. Experience in delivering MDM and Data Migration programs leveraging standard and innovative approaches. ETL experience in recognised enterprise SAP ETL technologies such as SAP Data Services. Migration Cockpit and experience in migrating data to SAP S/4HANA and more »

PP, SD, MM, FI/CO by being a functional consultant. Experience in delivering MDM and Data Migration programs leveraging standard and innovative approaches. ETL experience in recognised enterprise SAP ETL technologies such as SAP Data Services. Migration Cockpit and experience in migrating data to SAP S/4HANA and more »

Bundles (DAB's) for streamlining the development of complex data and analytics for the Databricks platform. (IaC) Strong understanding of data warehousing concepts and ETL processes. Excellent problem-solving skills and attention to detail. Ability to work independently in a remote setup with minimal supervision. Role details: Job role: Senior more »

Bundles (DAB's) for streamlining the development of complex data and analytics for the Databricks platform. (IaC) Strong understanding of data warehousing concepts and ETL processes. Excellent problem-solving skills and attention to detail. Ability to work independently in a remote setup with minimal supervision. Role details: Job role: Databricks more »

lieu of degree. Experience with SQL, NoSQL, and vector databases such as MSSQL, MySQL, PostgreSQL, Redis, FAISS, Milvus, Qdrant, etc. Experience designing and maintaining ETL and ELT pipelines with technologies such as Spark, Airflow, Dagster, Prefect, Argocd, Metaflow, Kubeflow, etc. Experience with DevOps/MLOps, using CI/CD methodology more »

lieu of degree. Experience with SQL, NoSQL, and vector databases such as MSSQL, MySQL, PostgreSQL, Redis, FAISS, Milvus, Qdrant, etc. Experience designing and maintaining ETL and ELT pipelines with technologies such as Spark, Airflow, Dagster, Prefect, Argocd, Metaflow, Kubeflow, etc. Experience with DevOps/MLOps, using CI/CD methodology more »

lieu of degree. Experience with SQL, NoSQL, and vector databases such as MSSQL, MySQL, PostgreSQL, Redis, FAISS, Milvus, Qdrant, etc. Experience designing and maintaining ETL and ELT pipelines with technologies such as Spark, Airflow, Dagster, Prefect, Argocd, Metaflow, Kubeflow, etc. Experience with DevOps/MLOps, using CI/CD methodology more »

lieu of degree. Experience with SQL, NoSQL, and vector databases such as MSSQL, MySQL, PostgreSQL, Redis, FAISS, Milvus, Qdrant, etc. Experience designing and maintaining ETL and ELT pipelines with technologies such as Spark, Airflow, Dagster, Prefect, Argocd, Metaflow, Kubeflow, etc. Experience with DevOps/MLOps, using CI/CD methodology more »

lieu of degree. Experience with SQL, NoSQL, and vector databases such as MSSQL, MySQL, PostgreSQL, Redis, FAISS, Milvus, Qdrant, etc. Experience designing and maintaining ETL and ELT pipelines with technologies such as Spark, Airflow, Dagster, Prefect, Argocd, Metaflow, Kubeflow, etc. Experience with DevOps/MLOps, using CI/CD methodology more »

lieu of degree. Experience with SQL, NoSQL, and vector databases such as MSSQL, MySQL, PostgreSQL, Redis, FAISS, Milvus, Qdrant, etc. Experience designing and maintaining ETL and ELT pipelines with technologies such as Spark, Airflow, Dagster, Prefect, Argocd, Metaflow, Kubeflow, etc. Experience with DevOps/MLOps, using CI/CD methodology more »

lieu of degree. Experience with SQL, NoSQL, and vector databases such as MSSQL, MySQL, PostgreSQL, Redis, FAISS, Milvus, Qdrant, etc. Experience designing and maintaining ETL and ELT pipelines with technologies such as Spark, Airflow, Dagster, Prefect, Argocd, Metaflow, Kubeflow, etc. Experience with DevOps/MLOps, using CI/CD methodology more »

lieu of degree. Experience with SQL, NoSQL, and vector databases such as MSSQL, MySQL, PostgreSQL, Redis, FAISS, Milvus, Qdrant, etc. Experience designing and maintaining ETL and ELT pipelines with technologies such as Spark, Airflow, Dagster, Prefect, Argocd, Metaflow, Kubeflow, etc. Experience with DevOps/MLOps, using CI/CD methodology more »

lieu of degree. Experience with SQL, NoSQL, and vector databases such as MSSQL, MySQL, PostgreSQL, Redis, FAISS, Milvus, Qdrant, etc. Experience designing and maintaining ETL and ELT pipelines with technologies such as Spark, Airflow, Dagster, Prefect, Argocd, Metaflow, Kubeflow, etc. Experience with DevOps/MLOps, using CI/CD methodology more »

lieu of degree. Experience with SQL, NoSQL, and vector databases such as MSSQL, MySQL, PostgreSQL, Redis, FAISS, Milvus, Qdrant, etc. Experience designing and maintaining ETL and ELT pipelines with technologies such as Spark, Airflow, Dagster, Prefect, Argocd, Metaflow, Kubeflow, etc. Experience with DevOps/MLOps, using CI/CD methodology more »

Experience working in the Defence, Nuclear or the Public Sector industries Strong knowledge of database management systems (eg, SQL, NoSQL). Proficiency in Datamodelling, ETL processes, and data warehousing. Experience with cloud data platforms (eg, AWS, Azure, Google Cloud). Familiarity with data governance and compliance standards Excellent problem-solving more »

creation Experience in data profiling/discovery and developing data quality reports/dashboards (ideally in Power BI) Good understanding of databases, data models, ETL processes, data pipelines, APIs and connectors Good understanding of DAMA and DCAM frameworks for industry best practice on Data Management Interview process This will be more »

applications, components and tools according to the technical plans set by the Development Technical Lead. Knowledge and experience required: In-depth working knowledge of ETL/ELT, data warehousing/business intelligence methodologies including dealing with big data, cloud technology and unstructured data Knowledge of star schema structure & design, detailed … Data Factory, Event Hubs, Data Lake, Synapse, Azure SQL server. Detailed knowledge in developing in Databricks and experience in coding with PySpark. Spark SQL ETL coding standards: ensuring that code is standardised, self-documenting and can be reliably tested Knowledge of best practice data encryption techniques and standards This will more »

reliable within the Google Cloud Platform. Effective documentation and communication of solutions to both technical and non-technical stakeholders are essential. Candidate Profile: Extensive ETL/ELT background with experience in developing data pipelines, optimizing queries, and enhancing database performance. Proficient in data modeling and data warehousing. Multiple years of more »

seeking Senior Data Engineers to contribute to innovative data projects within a leading financial institution. Key Responsibilities: Data Engineering: Design and implement data models, ETL processes, and data warehousing solutions. Programming: Utilize Python, Java, Scala, or GoLang to build and optimize data pipelines. Distributed Processing: Work with Hadoop, Spark, and more »

processes. Develop, optimise, and maintain Power BI Reports, Apps and Dashboards in line with business requirements, supporting continuous improvement. Responsible for the management of ETL processes, including but not limited to, D365 F&O data exports, SQL data transformation and Power BI data model refreshes. Monitor all BI data processes more »

modelling, data mart, and data warehouse development Exposure to Snowflake: building stages, creating schemas and scheduling tasks would be a distinct advantage Understanding of ETL/ELT best practices Exposure in some form of Project Management methodology, existing team work to a version of agile Understanding of Data visualisation principles more »

languages like Python and proficiency in SQL Experience working with cloud platforms (e.g., Azure, GCP) and big data technologies like Spark Working knowledge of ETL and ELT frameworks and tools like dbt Working knowledge of Version Control and CICD pipelines Hiring, developing, and retaining cyber analytics talent Ability to provide more »

your problem-solving skills and creativity. Google Cloud Professional Cloud Architect or Professional Cloud Developer certification Very Disrable to have hands-on experience with ETL tools, Hadoop-based technologies (e.g., Spark), and batch/streaming data pipelines (e.g., Beam, Flink etc) Proven expertise in designing and constructing data lakes and more »

high availability and disaster recovery scenarios Designing robust implementation, migration, and test plans Database administration Performance optimisation – Queries, indexing, database design, storage Data integration – ETL/ELT Data security Proven troubleshooting skills Scalability Maintenance and operations Licensing What you’ll need Minimum 2 years’ experience with SQL Server more »