19 of 19 Change Data Capture Jobs

Summary The Data Engineering Consultant, working independently under limited oversight, empowers the organization through architecting, designing, and executing advanced analytics capabilities. In an agile team setting, they collaborate with data scientists, data analysts, and product teams to translate business needs into technical specifications and develop complex data pipelines. This role sets the strategic and technical direction for data capabilities, designing pipelines for data extraction, transformation, and loading from diverse sources. They handle large, complex data sets, solve business challenges using unstructured data, and act as a subject matter expert, mentoring less experienced ...

Summary The Data Engineering Consultant, working independently under limited oversight, empowers the organization through architecting, designing, and executing advanced analytics capabilities. In an agile team setting, they collaborate with data scientists, data analysts, and product teams to translate business needs into technical specifications and develop complex data pipelines. This role sets the strategic and technical direction for data capabilities, designing pipelines for data extraction, transformation, and loading from diverse sources. They handle large, complex data sets, solve business challenges using unstructured data, and act as a subject matter expert, mentoring less experienced ...

Summary The Data Engineering Consultant, working independently under limited oversight, empowers the organization through architecting, designing, and executing advanced analytics capabilities. In an agile team setting, they collaborate with data scientists, data analysts, and product teams to translate business needs into technical specifications and develop complex data pipelines. This role sets the strategic and technical direction for data capabilities, designing pipelines for data extraction, transformation, and loading from diverse sources. They handle large, complex data sets, solve business challenges using unstructured data, and act as a subject matter expert, mentoring less experienced ...

Summary The Data Engineering Consultant, working independently under limited oversight, empowers the organization through architecting, designing, and executing advanced analytics capabilities. In an agile team setting, they collaborate with data scientists, data analysts, and product teams to translate business needs into technical specifications and develop complex data pipelines. This role sets the strategic and technical direction for data capabilities, designing pipelines for data extraction, transformation, and loading from diverse sources. They handle large, complex data sets, solve business challenges using unstructured data, and act as a subject matter expert, mentoring less experienced ...

Summary The Data Engineering Consultant, working independently under limited oversight, empowers the organization through architecting, designing, and executing advanced analytics capabilities. In an agile team setting, they collaborate with data scientists, data analysts, and product teams to translate business needs into technical specifications and develop complex data pipelines. This role sets the strategic and technical direction for data capabilities, designing pipelines for data extraction, transformation, and loading from diverse sources. They handle large, complex data sets, solve business challenges using unstructured data, and act as a subject matter expert, mentoring less experienced ...

Summary The Data Engineering Consultant, working independently under limited oversight, empowers the organization through architecting, designing, and executing advanced analytics capabilities. In an agile team setting, they collaborate with data scientists, data analysts, and product teams to translate business needs into technical specifications and develop complex data pipelines. This role sets the strategic and technical direction for data capabilities, designing pipelines for data extraction, transformation, and loading from diverse sources. They handle large, complex data sets, solve business challenges using unstructured data, and act as a subject matter expert, mentoring less experienced ...

Summary The Data Engineering Consultant, working independently under limited oversight, empowers the organization through architecting, designing, and executing advanced analytics capabilities. In an agile team setting, they collaborate with data scientists, data analysts, and product teams to translate business needs into technical specifications and develop complex data pipelines. This role sets the strategic and technical direction for data capabilities, designing pipelines for data extraction, transformation, and loading from diverse sources. They handle large, complex data sets, solve business challenges using unstructured data, and act as a subject matter expert, mentoring less experienced ...

Summary The Data Engineering Consultant, working independently under limited oversight, empowers the organization through architecting, designing, and executing advanced analytics capabilities. In an agile team setting, they collaborate with data scientists, data analysts, and product teams to translate business needs into technical specifications and develop complex data pipelines. This role sets the strategic and technical direction for data capabilities, designing pipelines for data extraction, transformation, and loading from diverse sources. They handle large, complex data sets, solve business challenges using unstructured data, and act as a subject matter expert, mentoring less experienced ...

Summary The Data Engineering Consultant, working independently under limited oversight, empowers the organization through architecting, designing, and executing advanced analytics capabilities. In an agile team setting, they collaborate with data scientists, data analysts, and product teams to translate business needs into technical specifications and develop complex data pipelines. This role sets the strategic and technical direction for data capabilities, designing pipelines for data extraction, transformation, and loading from diverse sources. They handle large, complex data sets, solve business challenges using unstructured data, and act as a subject matter expert, mentoring less experienced ...

Summary The Data Engineering Consultant, working independently under limited oversight, empowers the organization through architecting, designing, and executing advanced analytics capabilities. In an agile team setting, they collaborate with data scientists, data analysts, and product teams to translate business needs into technical specifications and develop complex data pipelines. This role sets the strategic and technical direction for data capabilities, designing pipelines for data extraction, transformation, and loading from diverse sources. They handle large, complex data sets, solve business challenges using unstructured data, and act as a subject matter expert, mentoring less experienced ...

Summary The Data Engineering Consultant, working independently under limited oversight, empowers the organization through architecting, designing, and executing advanced analytics capabilities. In an agile team setting, they collaborate with data scientists, data analysts, and product teams to translate business needs into technical specifications and develop complex data pipelines. This role sets the strategic and technical direction for data capabilities, designing pipelines for data extraction, transformation, and loading from diverse sources. They handle large, complex data sets, solve business challenges using unstructured data, and act as a subject matter expert, mentoring less experienced ...

Summary The Data Engineering Consultant, working independently under limited oversight, empowers the organization through architecting, designing, and executing advanced analytics capabilities. In an agile team setting, they collaborate with data scientists, data analysts, and product teams to translate business needs into technical specifications and develop complex data pipelines. This role sets the strategic and technical direction for data capabilities, designing pipelines for data extraction, transformation, and loading from diverse sources. They handle large, complex data sets, solve business challenges using unstructured data, and act as a subject matter expert, mentoring less experienced ...

Location: Onsite in Dallas, Texas (Locals Only)Exp: 14 YearsVisa: H-1B, USC ONLYSKILLS:At least 4+ years of experience on designing and developing Data Pipelines for Data Ingestion or Transformation using Scala or PythonAt least 4 years of experience with Python, Spark & PysparkAt least 3 years … analytical skills and advanced SQL knowledge, indexing, query optimization techniques.Experience using ETL tools for data ingestionExperience with Change Data Capture (CDC) technologies and relational databases such as MS SQL, Oracle and DBAbility to translate data needs into detailed functional and technical designs for development, testing ...

Data Engineer - £350PD - Remote Required Technical Skills Data Pipeline & ETL Design, build, and maintain robust ETL/ELT pipelines for structured and unstructured data Hands-on experience with AWS Glue and AWS Step Functions Implementation of data validation … data quality frameworks, and reconciliation checks Strong error handling, monitoring, and retry strategies in production pipelines Experience with incremental data processing patterns (CDC, watermarking, upserts) AWS Data Services Amazon S3: data lake architectures, partitioning strategies, lifecycle policies DynamoDB: data modeling, secondary indexes, streams, and performance ...

Data Engineer - £350PD - Remote Required Technical Skills Data Pipeline & ETL Design, build, and maintain robust ETL/ELT pipelines for structured and unstructured data Hands-on experience with AWS Glue and AWS Step Functions Implementation of data validation … data quality frameworks, and reconciliation checks Strong error handling, monitoring, and retry strategies in production pipelines Experience with incremental data processing patterns (CDC, watermarking, upserts) AWS Data Services Amazon S3: data lake architectures, partitioning strategies, lifecycle policies DynamoDB: data modeling, secondary indexes, streams, and performance ...

company Working for a global consultancy with the end client being a renowned financial organisation Your new role Lead the architecture and design of data replication and integration solutions. Define and enforce best practices and architectural patterns for data pipelines. Mentor DRIs and provide technical leadership across teams. …/CD adoption for data workflows. Collaborate with stakeholders to ensure scalability and resilience in distributed systems. What you'll need to succeed CDC Architecture (Change Data Capture) and ideally working with Oracle GoldenGate. Postgres Internals. Distributed Systems. Automation & CI/CD. Azure Cloud Services. ...

Client Join a high-growth technology organisation based in the heart of Newcastle upon Tyne , where expert teams design, manage, and optimise critical data platforms. Our client has been recognised by The Sunday Times as one of the UK's Best Places to Work , reflecting a culture built … Microsoft SQL Server DBA , you'll play a key role in ensuring the reliability, performance, and scalability of both on-premise and cloud data platforms. This Microsoft SQL Server DBA position is ideal for someone who thrives in a fast-paced environment, enjoys solving complex database challenges, and takes ...

/ELT pipelines, transformations, and data quality Strong SQL and performance optimisation - Experience with data integration patterns (batch/real-time, CDC, APIs) A major client of ours is looking to build a team of strong Talend ETL Data Engineers for a long-term project migrating legacy …/ELT pipelines, transformations, and data quality Strong SQL and performance optimisation Experience with data integration patterns (batch/real-time, CDC, APIs) Solid problem-solving and debugging skills in the context of data pipelines Version control and an understanding of CI/CD and deployment ...

recovery strategies. Familiarity with cloud-based PostgreSQL deployments (AWS). Ability to collaborate effectively with cross-functional teams. Good to have knowledge of CDC tools like Precisely, zDIH etc. Capability to implement CDC in both directions (Postgres ?? DB2 and vice versa). Good to have (NOT a must) BluAge certification ...