126 to 150 of 311 ETL Jobs

of data quality improvement practices. Have a strong understanding of data quality principles, methodologies, and tools. Have experience with data integration tools such as ETL and data analytics platforms such as Tableau. Have experience with Agile development methodologies such as Scrum. Have had some exposure in Operational Business Intelligence and 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 »

to meet statutory requirements and supply information for external auditors as necessary. Facilitate the rollout of Alteryx Server across Finance teams, optimising workflows. Utilise ETL tools to automate data storage and streamline processes. Design and implement best practices, guidelines, and repeatable processes for technology use. Skills & Experience: Strong educational background. … of financial terms and definitions. Interest in sports and betting. Skilled in SQL for modelling and querying relational databases, ensuring best practices. Knowledge of ETL tools. Professional and positive attitude with excellent time management, organisational, and multi-tasking abilities. Proactive and innovative, capable of identifying process improvements and assisting in more »

up of modelling tools for annual budgeting process. Stakeholder Collaboration: Engage with stakeholders to gather and refine business requirements for reporting and data analysis. ETL Processes: Use various ETL processes (e.g., SQL, Power Query, APIs) to build robust semantic models. Report Creation: Create and refine Power BI reports, dashboards, and more »

Essential criteria: Enterprise-level experience of SQL, Shell/BASH, Linux and command line Enterprise-level experience in developing and enhancing efficient, scalable, automated ETL/ELT pipelines including error handling, re-start and data quality Experience of translating technical concepts into non-technical language You understand how to communicate more »

their next step in their career and wants to take on more responsibility. Technical Skillset: Experience as a data engineer developing and maintenance of ETL/ELT processes Good experience in Data Modeling within a cloud-based data platform Strong experience with SQL Server Azure data engineering stack, including Azure more »

documentation for the entirety of code base. End to end ownership of the Data Engineering Lifecycle. Implement and manage Fivetran for efficient and reliable ETL processes Job requirements Desired Experience: Bachelor's degree in computer science, engineering, or equivalent experience. Extensive experience as a Senior Data Engineer/Cloud Data … engineering development tools. Experience with metadata driven pipelines and SQL serverless data warehouses. Extensive knowledge of querying API systems. Extensive experience building and optimising ETL pipelines using Databricks. Understanding of data governance and data quality principles. Experience with implementing and managing Unity Catalog for data governance. Familiarity with Fivetran ETL more »

their team as part of an on-going project on a 12-month contract. You will have the following skills and experience: Knowledge of ETL& ELT, data warehousing/business intelligence methodologies. Experience handling big data, cloud technology and unstructured data. Star Schema structure & design, Kimball & inmon, and hybrid data … such as: Data factory Events Hubs Data Lake Synapse Azure SQL Server Experience developing Databricks and coding with PySpark and Spark SQL. Proficient in ETL coding standards Data encryption techniques and standards Knowledge of relevant legislation such as: Data Protection Act, EU Procurement Directives, Freedom of Information Act. Tools and more »

in database administration, data engineering, and team leadership. Proficiency with Azure, SQL Server, and familiarity with other database technologies. Strong understanding of data modelling, ETL processes, and version control systems. Knowledge of project management methodologies and development methodologies like Agile or Scrum. Experience with data governance, security controls, and regulatory more »

business, data analytics, computer science, or information systems). Strong extensivework experience, ideally within a professional services environment. A deep understanding of data warehousing, ETL processes and data modelling. Expertise in database design and development in Azure SQL Server, Azure Data Warehouse, MS SQL Server and be proficient in creating more »

Experience in multidimensional and/or tabular models (SSAS) Microsoft Azure Stack RDBMS: Azure SQL/SQL Server 2016+ (SQL, Structure, Stored Procs, Tuning) ETL/ELT, (ADF, SSIS) Data governance (Purview, Unity Catalogue) Databricks Delta Lake Storage Azure Dev OPS DESIRED SKILLS Advanced Analytics Data Technologies Databricks, Delta Lake more »

Advanced skills in SQL programming, with the ability to design, optimize, and maintain complex queries and databases. Strong experience in designing, implementing, and managing ETL processes using Azure Data Factory and other relevant tools. Proficiency in building and managing data warehouses using Azure Synapse Analytics and other data warehousing solutions. more »

more Cloud platforms such as Microsoft Azure, AWS, Google Cloud is a plus Familiarity with the application of automation and data technologies (e.g. RPA, ETL tools, visual analytics) Formal project management training certification (e.g. PMP, PRINCE2, MSP) or process improvement certification (e.g. Six Sigma 'belt') is preferred Working knowledge of more »

databases such as MongoDB, Cassandra, or Redis. Data Modelling: Expertise in designing conceptual, logical, and physical data models. Understanding of normalization and denormalization techniques. ETL (Extract, Transform, Load): Knowledge of ETL processes and tools to integrate data from various sources into a data warehouse or other storage systems. Data Warehousing more »

computing platform. Snowflake : Our trusted data warehouse platform. DBT Core : We leverage DBT for data transformations and modelling. Matillion : An essential tool for orchestrating ETL workflows. Datadog: For monitoring and alerting. Terraform for our infrastructure, including Snowflake. The Balancing Act: As we embark on a transformation journey toward a more more »

the job The role offers the opportunity to lead in designing, monitoring, maintaining and improving current data flows and warehousing processes along with developing Extract, Transform, Load processes for new flows. The key focus of the role will be to develop and implement data quality solutions within the data warehouse. more »

into technical requirements Design & development experience using data discovery tools such as MS Power BI, QlikView, Tableau Ability to model and transform data, build ETL solutions and present data in a useful business context Experience developing data warehouses & data marts using the Kimball methodology Experience or awareness of Big Data more »

into technical requirements Design & development experience using data discovery tools such as MS Power BI, QlikView, Tableau Ability to model and transform data, build ETL solutions and present data in a useful business context Experience developing data warehouses & data marts using the Kimball methodology Experience or awareness of Big Data 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 »

how to architect data models in both relational and nonrelational contexts. Data analysis deep knowledge of data analysis tools/methods. Databricks or other ETL tool knowledge. Membership in/active participant in industry-wide groups/meetups pertaining to data. #J-18808-Ljbffr more »

consulting. Experience with Machine Learning models and tools is strongly preferred. SKILLS AND EXPERIENCE Functional/Technical Competencies: Proficient in Python, experience in using ETL tools preferably Alteryx Hands on experience in Tableau or Power BI or any visualization tools Experience of managing stakeholder relationships within and outside of the more »

and Machine Learning engineers and it is responsible for supporting data scientists in deploying, maintaining and monitoring an increasing number of Python-based microservices, ETL pipelines, SaaS models, databases and vector stores. The MLOps Lead would need to act as an interface between data scientists, the data & analytics team and more »

Neural Networks and data processing libraries (Tensorflow, Sci-kit learn, Pandas, Scipy, Numpy at least three or more) Experience in Data mining, Data warehousing, ETL Experience in handling large volumes of data on SQL, NoSQL and Big Data databases Experience in Hadoop ecosystem: Hadoop, Spark, Hive, and/or Scala more »

liaising with key stakeholders and other business units to understand business needs and gather requirements. Track record of: Designing and building data infrastructure and ETL pipelines Experience with Azure Platform including Data Factory, Synapse, and Data Lake DB development experience with SQL Software development experience in relevant languages like Python more »

cloud platforms (e.g., AWS, Azure, Google Cloud). o Strong understanding of DevOps principles and practices. o Knowledge of data platform technologies, including databases, ETL/ELT processes, data warehousing, and data streaming. Soft Skills: o Excellent leadership and people management skills. o Strong strategic thinking and problem-solving abilities. more »