101 to 125 of 714 ETL Jobs

business requirements into technical specifications Hands-on experience with data discovery tools like MS Power BI, QlikView, Tableau Proficiency in modelling and transforming data, ETL solutions, and presenting data contextually Experience in developing data warehouses & data marts following the Kimball methodology Strong communication and problem-solving skills Interested in staying more »

messaging concepts like producers, consumers, and message queues. • Data Quality and Governance • Data Integration and ET L - Demonstrable Ability to author data transformations using ETL tools such as DBT. • Cloud Platforms - The company are Azure hosted and experience of this is a strong preference. However other Cloud platforms like AWS more »

experience for querying and analysis SSAS (Tabular) - experience building Tabular models would be beneficial but not essential Data Modelling - relational and dimensional data modelling ETL experience Experience working in an Agile environment Any experience with Azure or the wider Power Platform would be a bonus but not essential Excellent communication more »

in business development, with demonstrated success in sales and client relationship management in the consulting sector. Deep technical expertise in data architecture, data modeling, ETL processes, data visualization, and advanced analytics. Strong understanding of the broader data and analytics market, including trends, challenges, and opportunities. Excellent leadership and team management more »

to (url removed) or alternatively, give me a call on (phone number removed). Keywords: Azure, Microsoft SQL Server, SQL Server, Data Platform, Databricks, ETL, DevOps, Data Warehouse, Architecture, Development, SSIS, T-SQL, SQL, ADF, Data Factory, RDBMS, London more »

Proficiency in designing and implementing data warehouse solutions using Snowflake, including performance tuning and optimization. Strong understanding of data modeling, data integration patterns, and ETL processes. Experience with data governance, data security, and data quality management. Excellent communication and collaboration skills, with the ability to work effectively in a cross more »

quality Business Intelligence products and solutions Good understanding of the Microsoft technology stack, specifically PowerBI, Databricks & Azure Cloud Proficiency in SQL, good understanding of ETL and ELT processes Strong communication skills, ability to translate complex messages into concise, easy-to-understand messages Strong story telling skills, ability to create a more »

connectivity & security configurations. Experience in understanding, analyzing, and white-box testing Azure data storage (Data lake, Synapse, etc.) & access tools, APIs, cloud connectivity, and ETL solutions. In-depth understanding of and experience with SOAP, XML, REST, JSON, EDI, XSLT, Async/Sync, Request/Response, Service Bus, Publish/Subscribe more »

and AI. Data compliance standards and regulations like PII, GDPR, CCPA, etc. Hands-on experience in handling PII datasets and operationalising DSAR. Proficiency in ETL processes and governance. Appropriateness in employing data cleansing techniques and tools. Possess articulate communication skills, capable of crafting concise requirements, epics, and stories with clear more »

global business logic into the output’s tables. Ensure a high level of data governance across all data sources Assist in monitoring and improving ETL processes Produce recommendations based on findings Feedback any highlights/concerns to the team. Work closely with wider MI & R and TSOC teams such as 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 »

Strong relationship building skills. Ability to take ownership of complex projects and see them through to completion. Essential: Experience with developing and troubleshooting complex ETL processes. significant experience in an agile, technical environment. Strong experience using Python and SQL for predictive analytics. Advanced knowledge of reporting tools such as Power 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 »

portfolios. Utilize advanced statistical, mathematical techniques, and modern cloud computing technologies to drive precision and effectiveness. Develop Essential Tools and Applications : Create APIs and ETL pipelines, enriching our models with vital market and portfolio data. Further, you will enhance our Streamlit landing page, integrating comprehensive data access, visualizations, and model more »

portfolios. Utilize advanced statistical, mathematical techniques, and modern cloud computing technologies to drive precision and effectiveness. Develop Essential Tools and Applications : Create APIs and ETL pipelines, enriching our models with vital market and portfolio data. Further, you will enhance our Streamlit landing page, integrating comprehensive data access, visualizations, and model more »

portfolios. Utilize advanced statistical, mathematical techniques, and modern cloud computing technologies to drive precision and effectiveness. Develop Essential Tools and Applications : Create APIs and ETL pipelines, enriching our models with vital market and portfolio data. Further, you will enhance our Streamlit landing page, integrating comprehensive data access, visualizations, and model more »

datasets, draw valid inferences and present them successfully to management using a reporting tool Develop and document data processes including data cleansing and matching ETL design You must have at least 1 to 2 years experience of working with Actimize software. Candidates must have a Bachelor's degree in a … significant experience as a Data Analyst Strong PL/SQL skills Database development (SQL Server, Oracle) Data migration knowledge & experience Development and test of ETL Extract/Transform/Load (ETL) with large data sets. Using Enterprise level tools including MS SSIS, Informatica etc Procedural language such as C# or more »

with Amazon Web Services a strong plus - CloudFormation, EMR, S3, EC2, Athena etc. Experience with scheduling services such as Airflow, Oozie. Experience with Data ETL and data modeling Experience with building large-scale systems with extensive knowledge in data warehousing solutions. Developing prototypes and proof-of-concept systems. Strong analytical more »

based solutions for management information (MI) and business intelligence (BI) purposes. You will collaborate closely with cross-functional teams to design and optimize databases, extract and analyze data, and generate actionable insights to support strategic decision-making. Key Responsibilities: Develop and … maintain SQL queries, stored procedures, and functions to support MI and BI requirements. Design, implement, and optimize databases to ensure efficient data storage and retrieval. Extract, transform, and load (ETL) data from various sources into data warehouses or data … marts. Collaborate with stakeholders to gather and analyze business requirements, translating them into technical solutions. Create and maintain documentation for database schemas, data flows, and ETL processes. Develop and automate reports, dashboards, and data visualizations using BI tools such as Power BI or Tableau. Perform data analysis to identify trends more »

skills, with the ability to collaborate effectively across teams and departments.Proficiency in data management technologies such as data lakes, SQL databases, data warehouses, and ETL tools and data analysis tools and technologies, such as SQL, Python, or similar.Knowledge of Palantir Foundry would be or similar big data platforms.Reinsurance industry experience more »

of Information Technology/Business Intelligence Knowledge in SQL and PL/SQL in Oracle and know-how in MS SQL Database Understanding of ETL technique, data modeling , and performance optimization Experienced in data warehousing projects is an added advantage Good analytical troubleshooting, problem-solving skills Able to w ork more »

be responsible for researching additional data sets to expand the coverage of our product as well as focus on developing their data modeling and ETL software skills. You will collaborate extensively with global colleagues, and partners across all business units including Product, Engineering, Sales & Analytics, and News.We’ll trust you more »

development, data mining and segmentation techniques Strong knowledge of and experience with reporting packages, databases (SQL, SSRS, Power BI etc), programming (XML, Javascript, or ETL frameworks) Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc) Strong analytical skills with the ability to collect, organize more »

in similar BI tool) Knowledge working with the AWS BI Stack (or similar) Intermediate level skills in data modelling, SQL Experience working as a ETL developer Scrum Master/Product owner experience Domain Knowledge working in commercial Pharma Knowledge of Veeva CRM The Gilead Difference Everyone at Gilead is motivated more »

a hands-on role in their realisation. Expertly use Azure data services (including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and others) to extract, transform, and load (ETL) data from various sources. Take initiative in data governance and quality control tasks, ensuring the integrity and security of client data more »