151 to 175 of 259 ETL Jobs with Hybrid or WFH Options

a technology team. Excellent communication, collaboration, and interpersonal skills. Large financial institution experience Technical Expertise: Possess a strong technical background in data architecture and ETL processes (SQL Server experience preferred). Understand and leverage APIs for data integration. Considerable experience in application development, User-Interface design and system configuration. Expert more »

a technology team. Excellent communication, collaboration, and interpersonal skills. Large financial institution experience Technical Expertise: Possess a strong technical background in data architecture and ETL processes (SQL Server experience preferred). Understand and leverage APIs for data integration. Considerable experience in application development, User-Interface design and system configuration. Expert more »

a technology team. Excellent communication, collaboration, and interpersonal skills. Large financial institution experience Technical Expertise: Possess a strong technical background in data architecture and ETL processes (SQL Server experience preferred). Understand and leverage APIs for data integration. Considerable experience in application development, User-Interface design and system configuration. Expert more »

a technology team. Excellent communication, collaboration, and interpersonal skills. Large financial institution experience Technical Expertise: Possess a strong technical background in data architecture and ETL processes (SQL Server experience preferred). Understand and leverage APIs for data integration. Considerable experience in application development, User-Interface design and system configuration. Expert more »

a technology team. Excellent communication, collaboration, and interpersonal skills. Large financial institution experience Technical Expertise: Possess a strong technical background in data architecture and ETL processes (SQL Server experience preferred). Understand and leverage APIs for data integration. Considerable experience in application development, User-Interface design and system configuration. Expert more »

a technology team. Excellent communication, collaboration, and interpersonal skills. Large financial institution experience Technical Expertise: Possess a strong technical background in data architecture and ETL processes (SQL Server experience preferred). Understand and leverage APIs for data integration. Considerable experience in application development, User-Interface design and system configuration. Expert more »

a technology team. Excellent communication, collaboration, and interpersonal skills. Large financial institution experience Technical Expertise: Possess a strong technical background in data architecture and ETL processes (SQL Server experience preferred). Understand and leverage APIs for data integration. Considerable experience in application development, User-Interface design and system configuration. Expert more »

a technology team. Excellent communication, collaboration, and interpersonal skills. Large financial institution experience Technical Expertise: Possess a strong technical background in data architecture and ETL processes (SQL Server experience preferred). Understand and leverage APIs for data integration. Considerable experience in application development, User-Interface design and system configuration. Expert more »

a technology team. Excellent communication, collaboration, and interpersonal skills. Large financial institution experience Technical Expertise: Possess a strong technical background in data architecture and ETL processes (SQL Server experience preferred). Understand and leverage APIs for data integration. Considerable experience in application development, User-Interface design and system configuration. Expert more »

a technology team. Excellent communication, collaboration, and interpersonal skills. Large financial institution experience Technical Expertise: Possess a strong technical background in data architecture and ETL processes (SQL Server experience preferred). Understand and leverage APIs for data integration. Considerable experience in application development, User-Interface design and system configuration. Expert more »

and optimize automation processes, effective monitoring, and infrastructure-as-code using Terraform. Collaborate closely with our engineering teams to support the orchestration of our ETL pipelines using Airflow and manage our tech stack including Python, Next.js, Airflow, PostgreSQL MongoDB, Kafka and Apache Iceberg. Optimize infrastructure costs and develop strategies for more »

Product and Inventory Management), Financial Planner, Resource Planning, Project Costing and Billing, Expenses, Human Resources. Prior experience of interfacing systems with an ERP using ETL, XMLs, and APIs. EDI ordering experience working with SPS software. Experience using MS SQL and running TSQL queries and updates. Experience Training Users. Understanding of more »

or mentoring a team of Data Engineers.8+ years of experience in Data Engineering or a related field.Strong experience with data modelling, data warehousing, and ETL/ELT processes.A fluency and development experience in at least one of the following: Java, Python, PySpark or Scala.Experience working with a variety of data … formats such as JSON, Parquet, XML etc.Experience with or developed understanding of the application of ETL/ELT tools.Experience with NoSQL type environments, Data Lakes, Lake-Houses (Cassandra, MongoDB or Neptune).Experience with distributed storage, processing engines such as Apache Hadoop and Apache Spark.Experience with message brokering/stream processing more »

across teams and unlocking the full potential of data within the organisation. Responsibilities Maintain and optimise available data warehouse infrastructure Design, implement and document ETL procedures for intake of new data from relevant sources employing industry standards and best practices; as well as ensure data is verified and quality checked … information technology, science, and engineering discipline. Experience performing data warehouse architecture development and management. Remarkable experience with Development and maintenance of data pipeline and ETL processes using Azure data Factory, Azure Data Lake and Azure Databricks. Exceptional experience developing codes, testing for quality assurance, administering Azure Databricks platform and exposure more »

teams, manage project timelines, and ensure the delivery of high-quality solutions on time and within budget. Utilize advanced data analytics, data modelling, and ETL (Extract, Transform, Load) processes to transform raw data into meaningful insights. Provide training to clients and internal teams on BI tools and best practices. Offer more »

Proven experience in data management, integration, or a similar role, preferably within the sports, leisure, or health sector. • Strong understanding of data structures, databases, ETL (Extract, Transform, Load) processes, and API development. • Excellent problem-solving skills and attention to detail. • Proficient in project management and communication. • Ability to work both more »

with ability to work in diverse, evolving, and dynamic client environmentsExperience in all aspects of the data lifecycle, for example:Data StrategyData Manipulation and ETL Master Data ManagementData Models and VisualizationA completed degree (bachelors, masters, or PhD)What we offer We offer a competitive remuneration package where you’ll be more »

ad tags and creative user flow testing DMP tech setup, infrastructure, cross-device targeting/reporting, CDP Management of Data Onboarders Site troubleshooting SQL, ETL, knowledge on data transfer via S3, and SFTP Deeplinking and DCO concepts Develop and oversee quality assurance process to act as main point of contact more »

Experience working with data flows Great understanding of integration and overall system experience Experience with Salesforce Azure/Salesforce/Integration/Azure/ETL/SQL/Azure Data Factory Salary : £65,000 - £75,000 Locations : Hybrid - London Apply now for immediate consideration regarding this excellent opportunity Understanding Recruitment more »

and driven by success. They are looking for someone who can promote engineering standards, best practices, and testing while building out APIs, Cloud-based ETL pipelines, customer UIs, and end-to-end data processing solutions.Ideally, you will have strong JavaScript/TypeScript, Python, and AWS experience, as well as a more »

a unique opportunity to impact the world positively through Biodiversity using advanced AI/ML. Looking for: -Data Engineering + Data Science Experience -Strong ETL Experience -Experience with Computer Vision -Experience in Remote Sensing highly desirable Stack: Python, PyTorch, AirFlow, PySpark (equivalent tools are fine more »

manage ingestion tools, storage accounts, and analytical applications and their access. Adhere to current logic and design and strive for consistency in solutions. Create ETL processes for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure Synapse tools and technologies. Data pipeline development … is essential. (Dedicated SQL Pool, Azure Data Factory, Azure Storage) Proficiency in programming language such as Python End-to-end Data Warehouse experience: ingestion, ETL, 'big data' pipelines, data architecture, message queuing, stream processing, BI/Reporting, and Data Security. Ability to build processes supporting data transformation, data structures, metadata … dependency, and workload management, as well as the ability to manipulate, process, and extract value from large, disconnected structured and unstructured datasets. Advanced SQL/relational database knowledge (including SSIS), query authoring (SQL). Experience performing root cause analysis on data, answering specific business questions, and identifying opportunities for improvement. more »

storage systems on Google Cloud Platform (GCP). You will be working with technologies such as Apache Airflow, BigQuery, Python, and SQL to transform and load large data sets, ensuring high data quality and accessibility for business intelligence and analytics purposes. Our business is growing quickly and with that so … Key Responsibilities Design, construct, install, test, and maintain data pipelines. Ensure systems meet business requirements and industry practices for data integrity and quality. Manage ETL and ELT pipelines across many data sources (CSV/parquet files, API endpoints, etc) Design and build data models for the business end users. Write more »

experience as a Solution Architect within the Financial Services sector, with expertise in Corporate and Retail Lending and related areas Expertise in solution designing, ETL, data migration, information security, data modelling, data engineering, and data warehousing. Proficiency in CRM systems like Salesforce and MS Dynamics, particularly in migration projects is … desirable Experience with ETL tools such as SSIS, SSMS, and Informatica Strong knowledge of databases including Oracle, SQL Server, MSSQL, MySQL, and NoSQL. Familiarity with reporting tools like Power BI and code repository/issue tracking tools like Azure DevOps. Experience with cloud platforms, particularly Azure, and understanding of cloud more »

a talented team and work within our client's IT function. Principal Job Duties & Responsibilities: build, and test corporate data warehouse. test, and document ETL and ELT solutions. accurate documentation, including lineage, for all solutions. and assess solution performance and suitability. data models, schemas, and metadata repositories. operational data warehouse … Knowledge, and Experience: experience with SQL, preferably with Microsoft SQL Server and Oracle. in data warehousing, data modeling, data science, and cloud solutions. with ETL development using Azure Data Factory and Informatica. management experience in data warehousing or data engineering. with both Cloud (Azure) and On-prem data platforms. in … and complex environments. with Azure DevOps and CI/CD pipelines. Competencies: Knowledge of data warehouse management best practices. Solution design, build, and testing. ETL design and dimensional, OLAP, and relational-based solutions. Kimball and Inmon architectures. Design data quality and master data management processes. Thinking Orientation Acumen Collaborative Relationships more »