26 to 50 of 461 Remote/Hybrid ETL Jobs

skills for data processing, automation and integration, with the ability to build maintainable, well documented solutions.Practical experience of building and managing data pipelines using ETL or ELT frameworks, with knowledge of tools such as dbt, Fivetran or similar.Understanding of BI data modelling and reporting tools, such as Power BI, Microsoft ...

data warehousing, data lakes, and lakehouse architectures. Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data architectures. Agile and DevOps delivery methodologies applied to data platforms (DataOps). Expertise ...

and Data Science to review and refine designs and translate them into robust implementations. Build and operate data pipelines: design, develop, test, and deploy ETL pipelines to source, cleanse, and optimise data at scale. Automate and orchestrate data workflows: Develop and maintain orchestration solutions (e.g. Apache Airflow), implementing testing, alerting ...

technical requirements, success criteria and delivery plans. Elicit and translate business and technical requirements into data, integration and solution specifications. Design and implement scalable ETL pipelines and data models; own data quality, lineage and documentation. Build and operationalise predictive analytics and automated processes; ensure monitoring and maintainability. Develop high impact … and ability to map analytics to measurable business outcomes. Understanding of Python and SQL is not required but would be beneficial Solid knowledge of ETL, ETL design patterns, data warehousing and data governance. Problem solving mindset. Familiarity with Microsoft Azure and AI/ML platforms. Current security clearance, or ability ...

experience we are looking for Strong SQL development skills and experience working with large and complex datasets. Experience building and maintaining data pipelines and ETL/ELT processes. Hands-on experience with Databricks for data engineering and transformation workloads. Proficiency in Python for data cleansing, transformation, automation, and analytics workflows. ...

analytics, data apps, AI and data science initiatives. The ideal candidate will have a deep understanding of data warehousing best practices, data modeling techniques, ETL/ELT processes, and cloud-based data platforms. The Data Architect will be a key partner in driving data-driven decisions and future-proofing Jazwares ...

platform reliability and supportability. Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development ...

MarTech, CRM or digital customer journeys. Experience with any of the following would also be beneficial: Customer 360 Customer Data Platforms Identity resolution Reverse ETL MarTech/CRM integrations Data monetisation Analytics enablement High-throughput or low-latency data systems Customer data governance and privacy These areas are not essential ...

business stakeholders to make data-driven decisions that shape the future of our company. Key Responsibilities Design, build, and maintain robust, scalable, and reliable ETL/ELT data pipelines . Develop data models and schemas in our data warehouse to support business analytics and reporting needs. Integrate data from ...

APIs, returning complex data from multiple endpoints. Implement processes to retain and refresh this data within business systems. Data Modeling: Using the businesses preferred ETL tools, generate curated datasets from raw input tables. Ensure all datasets have clear, documented lineage and integrated testing to protect against bad data entering datasets ...

e.g. Cloud, Azure, Databricks), and enterprise data and analytics ecosystems, including medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise scale analytics) Experience with data product thinking, domain-oriented ownership or federated operating models Understanding of data standards and industry models ...

e.g. Cloud, Azure, Databricks), and enterprise data and analytics ecosystems, including medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise scale analytics) Experience with data product thinking, domain-oriented ownership or federated operating models Understanding of data standards and industry models ...

Initial 6 months + extensions. Job Purpose: The BI Engineer will be responsible for the requirements analysis and design of solutions for data platform, ETL, integration and analysis solutions. Our toolset includes AWS hosted databases (postgres, S3 based data lake, MySQL, Athena), integration services (AWS API gateway, lambda functions), ETL … data warehouses. Collaborate with data visualization and analysts' teams to understand data requirements and translate them into technical specifications. Data Processing: Develop and maintain ETL (Extract, Transform, Load) processes for ingesting data from various sources into the data infrastructure. Optimize data processing and storage for performance and cost-effectiveness. ...

analytics, or related disciplines in a complex, global organisation. Proven delivery of modern cloud‐based data platforms, data lakes or warehouses, integration patterns, ETL/ELT pipelines, semantic models, and analytics solutions. Strong knowledge of the Microsoft data and analytics ecosystem, including Azure data services, SQL, Power BI, and modern ...

Experience with SQL, Python, schema definition, and software engineering best practices including secure, testable, and maintainable code - Understanding of distributed systems, data integration techniques (ETL vs. federation), database optimization (partitioning, indexing), and relational database performance tuning - Current, active US Government Security Clearance of Top Secret or above PREFERRED QUALIFICATIONS - Experience ...

practical, curious and commercially-minded approach to problem-solving. Desirable Experience with machine learning and predictive modelling. Experience with Snowflake. Experience working with ETL/data integration tools, ideally Matillion. Experience with cloud data platforms and modern data stacks Experience working with large-scale video, image or other unstructured datasets. ...

Reference Data. Cloud Platforms: Microsoft Azure; AWS; GCP. Modern Data Platforms: Databricks; Microsoft Fabric; PostgreSQL. Data Integration: Azure Data Factory; API-led Integration; Kafka; ETL/ELT; Streaming and Event-Driven Architectures. Architecture & Modelling: TOGAF; DAMA; ArchiMate; Sparx Enterprise Architect. Data Governance: Microsoft Purview; Collibra; Informatica; Security by Design; Data ...

Reference Data. Cloud Platforms Microsoft Azure; AWS; GCP Modern Data Platforms Databricks; Microsoft Fabric; PostgreSQL Data Integration Azure Data Factory; API-led Integration; Kafka; ETL/ELT; Streaming and Event-Driven Architectures Architecture & Modelling TOGAF; DAMA; ArchiMate; Sparx Enterprise Architect Microsoft Purview, Collibra, Informatica, Security by Design, Data Classification, Information ...

complex environments. Broad understanding of modern data technology domains, including: Cloud data platforms (Azure, AWS, GCP). Data lakes, warehouses and lakehouse architectures. ETL/ELT processes and tooling. Streaming and event‐driven architectures. API‐led integration and data virtualisation. Understanding of data security‐by‐design, privacy, compliance and governance ...

industry and understand the complexities of insurance data, systems, and business processes. What You'll Do Design, develop, and maintain scalable data pipelines and ETL/ELT processes. Build and optimise cloud-based data solutions and data platforms. Integrate data from multiple source systems into enterprise data environments. Work closely ...

time‐series (TimescaleDB/InfluxDB), and document (MongoDB) stores used by applications Design the data ingestion and movement architecture – real‐time CDC pipelines, batch ETL/ELT patterns, and event‐driven feeds from the NATS messaging layer into Snowflake Define data domain boundaries, ownership, and lineage standards aligned with Project ...

Ability to leverage CI/CD pipelines to maintain code quality and facilitate deployments Knowledge of Data Engineering fundamentals, including Batch/Streaming and ETL/ELT Familiarity with various data architectures such as Lakes and Warehouses Hands-on experience with data cleansing and transformation within unified, standardised schemas Technologies ...

Ability to leverage CI/CD pipelines to maintain code quality and facilitate deployments Knowledge of Data Engineering fundamentals, including Batch/Streaming and ETL/ELT Familiarity with various data architectures such as Lakes and Warehouses Hands-on experience with data cleansing and transformation within unified, standardised schemas Technologies ...

Ability to leverage CI/CD pipelines to maintain code quality and facilitate deployments Knowledge of Data Engineering fundamentals, including Batch/Streaming and ETL/ELT Familiarity with various data architectures such as Lakes and Warehouses Hands-on experience with data cleansing and transformation within unified, standardised schemas Technologies ...

and with different software solutions (Snowflake, Azure, SQL, Python); Provide the handling of (and where needed training of) Large Language Models (LLMs) in the Extract, Transform, and Load (ETL) of large corpus of data into a data lake; Participate in the Natural Language Processing (NLP) extract of unstructured data into … Knowledge of developing dimensional data models from unstructured content and awareness of the advantages and limitations of Star Schema and Snowflake schema designs; Solid ETL development, reporting knowledge based off intricate understanding of business process and measures; Knowledge of Snowflake cloud data warehouse and Azure cloud is preferred; Knowledge ...