1 to 25 of 93 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 ...

Data Engineer: Design, build and maintain scalable data pipelines and architectures within the AWS ecosystem Leverage services such as AWS Glue, Lambda, Redshift, EMR and S3 to support data ingestion, transformation and storage Work closely with data analysts, architects and business stakeholders to translate requirements into robust technical solutions ...

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 ...

large on prem to AWS migration programme in replicating data pipelines in readiness for a lift and shift to the cloud. Essential: AWS and Redshift In full: Role purpose Reporting to the Lead Data Engineer, the Data Engineer is responsible for designing and maintaining scalable data pipelines, ensuring data ...

have skills and experience in the following: Cloud Data Architecture: Strong knowledge of modern, cloud-based data architecture and tooling (eg, 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 ...

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 ...

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 ...

Implement best practices for data security and compliance. Collaborate with stakeholders and external partners. Skills & Experience: Strong experience with AWS data technologies (e.g., S3, Redshift, Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. ...

usage, recommending improvements and efficiencies. Driving continuous improvement across pipelines, tooling, automation, and release processes. Main Skills Needed: Strong hands-on AWS experience across Redshift, S3, EMR, Lambda and infrastructure-as-code. Demonstrated ability to align with DevOps while maintaining distinct responsibilities within the BI function. Proficient with ...

engineering lifecycle (up-to transformation at minimum), from building data platform infrastructure to data modelling (via dbt) in a cloud environment (e.g. BigQuery, Snowflake, Redshift, Databricks). Proven Python software engineering skills (e.g. an understanding of concepts such as decorators, generators, context managers, typing). Proven experience with ...

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. ...

Document test results and provide detailed reports on data quality findings. Required Skills and Experience: Proven experience with AWS services such as EMR, Lambda, Redshift, Firehose, S3, Iceberg, Athena, and DynamoDB. Strong understanding of data ingestion, parsing, aggregation, and schema validation processes. Proficiency in SQL for data querying ...

data security, governance, and performance. Work on exciting projects involving big data, streaming, and automation. What you bring Strong experience with AWS services (Glue, Redshift, S3, Lambda, etc.). Proficiency in Python and SQL. Knowledge of data modelling and ETL processes. Familiarity with CI/CD and containerisation (Docker ...

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 ...

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 ...

Platforms: Experience in building & scaling data lakes, data warehouses, and associated data systems. Databases: SQL, PostgreSQL; MongoDB and cloud-based platforms (e.g. Snowflake, Databricks, Redshift). Semantic Layer: Design and implementation for governed reusable data views. Data Governance Tools: Collibra, Alation, Talend or equivalent. Expertise in ETL tools ...

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 ...

working arrangement is in place. About you To 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 ...

working arrangement is in place. About you To 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 ...

working arrangement is in place. About you To 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 ...