1 to 25 of 515 Amazon Redshift Jobs

Ipswich (Onsite- 5 days) Type of Employment- Permanent Job Overview: We are seeking an experienced AWS Data Engineer with strong expertise in ETL pipelines, Redshift, Iceberg, Athena, and S3 to support large-scale data processing and analytics initiatives in the telecom domain . The candidate will work closely with … CDRs, mediation systems, CRM, billing, network logs . Optimize ETL workflows for large-scale telecom datasets (high volume, high velocity). 2. Data Warehousing (Redshift) Build and manage scalable Amazon Redshift clusters for reporting and analytics. Create and optimize schemas, tables, distribution keys, sort keys , and workload ...

evolving technological environments PREFERRED SKILLS · Airflow, dbt, Spark, Kafka, RabbitMQ, Redis. · Git, CI/CD pipelines. · Experience with data warehousing solutions such as Snowflake, Redshift, BigQuery, or Synapse. · Exposure to AI/ML workflows and model deployment. · Experience with streaming systems and real-time architecture. · Knowledge of event-driven ...

automation Support GenAI initiatives through data readiness, synthetic data generation, and prompt engineering. Mandatory Skills: Cloud Platforms:Deep experience with AWS (S3, Lambda, Glue, Redshift) and/or Azure (Data Lake, Synapse). Programming & Scripting:Proficiency in Python, SQL, PySpark etc. ETL/ELT & Streaming:Expertise in technologies like ...

have skills and experience in the following: Cloud Data Architecture: Strong knowledge of modern, cloud-based data architecture and tooling (e.g., S3, Glue, Redshift, Athena, Lake Formation, Iceberg/Delta). AWS Platform Build: Demonstrable experience designing and building modern data platforms in AWS. ETL/Orchestration Expertise: Expertise ...

have skills and experience in the following: Cloud Data Architecture: Strong knowledge of modern, cloud-based data architecture and tooling (e.g., S3, Glue, Redshift, Athena, Lake Formation, Iceberg/Delta). AWS Platform Build: Demonstrable experience designing and building modern data platforms in AWS. ETL/Orchestration Expertise: Expertise ...

various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data ...

ensure compliance with government security standards. Troubleshoot and resolve issues in complex cloud environments. Essential Skills Strong experience with AWS services (Glue, Lambda, S3, Redshift, IAM). Proficiency in Python and SQL for data engineering tasks. Knowledge of data modelling, ETL frameworks, and best practices. Familiarity with security ...

Spark or Hadoop. Experience with ETL/orchestration tools like Airflow, Talend or Azure Data Factory. Understanding of data warehousing solutions (Snowflake, BigQuery, Redshift or similar). Good understanding of data governance, GDPR and modern security practices. Strong problem solving skills and the ability to work with technical ...

Spark or Hadoop. Experience with ETL/orchestration tools like Airflow, Talend or Azure Data Factory. Understanding of data warehousing solutions (Snowflake, BigQuery, Redshift or similar). Good understanding of data governance, GDPR and modern security practices. Strong problem solving skills and the ability to work with technical ...

Spark or Hadoop. Experience with ETL/orchestration tools like Airflow, Talend or Azure Data Factory. Understanding of data warehousing solutions (Snowflake, BigQuery, Redshift or similar). Good understanding of data governance, GDPR and modern security practices. Strong problem solving skills and the ability to work with technical ...

Spark or Hadoop. Experience with ETL/orchestration tools like Airflow, Talend or Azure Data Factory. Understanding of data warehousing solutions (Snowflake, BigQuery, Redshift or similar). Good understanding of data governance, GDPR and modern security practices. Strong problem solving skills and the ability to work with technical ...

predictive and prescriptive insights. ETL & Data Engineering: Experience designing scalable ETL/ELT pipelines using modern tools and frameworks. Cloud Platforms: Familiarity with AWS (Redshift, Athena, S3) or Azure (Synapse, Data Lake, ADF). Data Governance: Understanding of GDPR, PII, and secure data management principles. Communication: Strong data storytelling ...

tools (Streamsets, DBT etc.) > Hands on experience with Oracle RDBMS > Data Migration experience to Snowflake > Experience with AWS services such as S3, Lambda, Redshift, and Glue. > Strong understanding of data warehousing concepts and data modeling. > Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. ...

tools ( Streamsets, DBT etc.) >Hands on experience with Oracle RDBMS >Data Migration experience to Snowflake >Experience with AWS services such as S3, Lambda, Redshift, and Glue. >Strong understanding of data warehousing concepts and data modeling. >Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions. ...

Classification policies. Maintain data dictionary. Maintain business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Visual Studio Code Python CI automation systems such as Jenkins A git-based source control system such ...

Hands-on experience in data integration , including designing and optimising data pipelines (batch and streaming) and integrating cloud-based platforms (e.g., Azure Synapse, AWS Redshift, Google BigQuery ) with legacy systems, ensuring performance and scalability. Deep knowledge of ETL/ELT processes , leveraging tools like Apache Airflow, dbt, or Informatica ...

designBig Data technologies (Hadoop, Spark, Hive)Data pipeline tools (Airflow, Kafka, NiFi)Programming (Python, Scala, Java)Cloud platforms (AWS, Azure, GCP)Data warehousing (Snowflake, Redshift, BigQuery)ETL/ELT developmentData governance, security, and performance optimization ...

Functions. Skilled in modern programming, particularly Python, Java, Scala and PySpark. Solid knowledge of data storage and big data technologies, including data warehouses, databases, Redshift, RDS and Hadoop. Experience building and managing AWS data lakes on S3 for both structured and unstructured data. What happens next? To apply, please ...

Functions. Skilled in modern programming, particularly Python, Java, Scala and PySpark. Solid knowledge of data storage and big data technologies, including data warehouses, databases, Redshift, RDS and Hadoop. Experience building and managing AWS data lakes on S3 for both structured and unstructured data. What happens next? To apply, please ...

term contract. The Role: Design, build, and maintain resilient, automated data pipelines using Talend Data Integration. Work with modern AWS technologies including S3, Glue, Redshift, and Spectrum. Optimise data workflows to ensure reporting, analytics, and performance management are powered by high-quality, trustworthy data. Collaborate with architects, Qlik developers ...

hybrid working arrangement is in place. About youTo be successful in this role it's essential you have: Extensive experience with AWS (S3, Glue, Redshift, SageMaker) Experience of building and automating data pipelines in finance The ability to demonstrate, automate and manage data systems so they run smoothly ...

hybrid working arrangement is in place. About youTo be successful in this role it's essential you have: Extensive experience with AWS (S3, Glue, Redshift, SageMaker) Experience of building and automating data pipelines in finance The ability to demonstrate, automate and manage data systems so they run smoothly ...

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 optimization Amazon Redshift: foundational querying, integrations … performance considerations AWS Lambda for scalable data processing and orchestration Amazon EventBridge for event-driven and decoupled data pipelines Vector Databases & Embeddings Strong understanding of vector database concepts, indexing strategies, and performance trade-offs Design and implementation of embedding generation pipelines Optimization techniques for semantic search and retrieval accuracy ...

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 optimization Amazon Redshift: foundational querying, integrations … performance considerations AWS Lambda for scalable data processing and orchestration Amazon EventBridge for event-driven and decoupled data pipelines Vector Databases & Embeddings Strong understanding of vector database concepts, indexing strategies, and performance trade-offs Design and implementation of embedding generation pipelines Optimization techniques for semantic search and retrieval accuracy ...

Assist with resolution of support issues. Requirements 4+ years of experience as a Data Engineer or on a similar role. Extensive experience with SQL, Amazon Redshift & ideally MySQL. Extensive experience with visualisation tools, ideally with Amazon QuickSight. Experience with AWS Glue and the ability to write Python … technologies. Knowledge of SAP Business Objects would be helpful but not necessary - currently in use but in the process of migrating to Redshift & QuickSight. ...