1 to 25 of 26 Remote/Hybrid Amazon Redshift Jobs

that fuel analytics, AI/ML, and data-driven operations. Design and build high-performance data integration solutions: Use AWS Glue, AWS Step Functions, Amazon EventBridge, and AWS Database Migration Service (DMS) to orchestrate ingestion, transformation, and movement of data across on-premises and cloud sources into Amazon … Design and oversee the delivery of secure lakehouse and warehouse architectures: Implement logical and physical data models, data quality controls, and governance practices using Amazon S3 (data lake), AWS Lake Formation, Amazon Redshift, and Amazon Athena to ensure trusted data. Ability to design AI/ ...

Data Factory. Azure Data Engineer Associate and Databricks Certified Data Engineer Professional AWS Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions. Programming Skills: Strong experience … Scala & Pyspark. Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop. Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both ...

Proficiency in SQL and relational databases Experience with cloud platforms (AWS/Azure/GCP) Experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) Familiarity with orchestration tools (e.g., Airflow, Databricks Workflows) Strong understanding of data modelling and lakehouse architecture Databricks certifications (e.g., Databricks Certified Data Engineer) Experience ...

data engineering, it can feel like youre staring at a never-ending list of tools and technologies SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and its easy to conclude that unless you have experience with every ...

analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure). We ENABLE hybrid cloud transformation – You will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance. We INNOVATE with AI-driven data solutions ...

Apply best practices for data quality, governance, and performance optimisation Core Technical Skills Strong hands-on experience with: AWS data stack (Glue, S3, Lambda, Redshift, Athena) Advanced SQL Python for data processing and pipeline development Exposure to tooling such as Terraform, APIs, or CI/CD pipelines (desirable) Experience ...

leveraging leading cloud technologies (AWS, GCP, Azure). We ENABLE hybrid cloud transformation – You will design and implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance. We OPTIMISE and SECURE cloud environments ...

relevant: 5-6+ years in a senior data engineering, architecture, or platform role Strong hands-on experience with AWS (EC2, S3, RDS, Lambda, Redshift, Glue, Athena) Experience with real-time and batch data processing - Apache Flink, Kafka, Spark, or similar Proficiency in one or more of: Python, Java ...

data consistency verification, and rollback strategies Cross-platform optimisation: Knowledge of leveraging PostgreSQL features to improve performance during migration scenarios Proficiency in data warehousing (Redshift, BigQuery) Strong communication and collaboration skills, with the ability to work effectively in a team environment. Proficiency in oral and written English You might ...

exposure to AI/ML concepts or tools. You must have strong hands-on experience in: AWS Data Engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena) SQL (advanced level) Python (for data processing and pipeline development) Infrastructure/tooling exposure (e.g. Terraform, APIs, CI/CD beneficial) Experience working ...

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 ...

testing for Data Engineering Testing tools like Great Expectations, dbt, pytest and data validation frameworks Experience of testing data platforms such as Snowflake, BigQuery, Redshift, Databricks, Azure Synapse Experience of testing pipelines in things like Airflow, Azure Data Factory, AWS Glue, Kafka Data Concepts ETL/ELT, data modelling ...

have 8+ years of Data Engineering experience within complex enterprise environments. * Strong experience with cloud-based data warehouse technologies, ideally BigQuery, although Snowflake and Redshift experience will also be considered. * Hands-on experience with GCP technologies including BigQuery, Dataflow, Composer, and Cloud Functions. * Strong Python development experience alongside modern ...

will have 8+ years of Data Engineering experience within complex enterprise environments. * Strong experience with cloud data warehouse technologies, ideally BigQuery, although Snowflake and Redshift experience will also be considered. * Hands-on experience with GCP technologies including BigQuery, Dataflow, Composer, and Cloud Functions. * Strong Python development experience alongside modern ...

translate business needs into data solutions Drive best practices in data quality, integration, and lifecycle management Key Skills Strong AWS data experience (e.g., S3, Redshift, Glue, Lake Formation, Athena) Proven experience in public sector or regulated environments Data modelling (conceptual, logical, physical) expertise Knowledge of data governance, security ...

data warehousing concepts and implementation Deep knowledge of Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow, ADF, etc.) Data Modelling Extensive experience designing ...

cleared Location: London/Hybrid Duration: 5 months Essential Skills: Informatica Data project experience AWS Azure Desirable Skills: Hands-on expertise in AWS & Spark: Amazon EMR, S3, Lambda; strong PySpark/Python and SQL for large-scale batch processing. Data engineering at scale in government or similarly complex domains … expose data safely and reliably. Agile ways of working with Jira/Confluence; clear stakeholder communication and concise technical documentation. Data warehousing & modelling (e.g., Redshift; dimensional modelling). Basic Power BI familiarity to partner with BI developers and validate end-to-end data flows. AWS ecosystem depth (Athena, Redshift ...

predictive models and drive business insights. Be a Databricks champion or have some Databricks certifications AWS Work hands-on with AWS services such as Redshift, Glue, Lake Formation, SageMaker, Athena, and more Strong hands-on expertise with AWS services (e.g. Redshift, Glue, Lake Formation, SageMaker). AWS Certified ...

Node.js , and modern development frameworks. Design, develop, and support cloud-based solutions across AWS , including services such as EC2, Lambda, Amplify, Athena, Cognito, S3, Redshift , & related technologies. Host, manage, & maintain custom applications across AWS and Zoho Catalyst . Develop and maintain secure, reliable API integrations between Zoho ...

core engineering workstream Produce clear documentation and BAU handover Profile The Data Engineer will have strong cloud data warehouse experience (BigQuery preferred; Snowflake/Redshift also considered) Proven experience integrating: CRM platforms ERP systems Billing/BSS solutions Experience delivering cutover + hypercare phases (essential) Ability to operate ...

with the following: *Palantir (FDP) *Python *PySpark *Exploratory Data Analysis *Data pipeline design/data engineering concepts *Dashboard/reporting dataset development *BI tools (Redshift, Databricks or similar) *Agile delivery environments If these technologies aren't clearly visible on your CV, you're unlikely to be shortlisted - so please ...

technical challenges You have a good knowledge of modern software engineering best practices, microservices, TDD/DDD, common Design Patterns Experience with Databricks, PostgreSQL, Amazon RedShift or MLflow would be great but not essential What's in it for you: As a Senior Machine Learning Engineer (Python ...

dimensional design Experience with cloud data warehouse platforms – Google BigQuery is the existing lakehouse technology; hands‐on experience with BigQuery or equivalent (Snowflake, Redshift, Databricks) is expected Ability to produce technology‐agnostic logical models and translate them into well‐reasoned implementation recommendations Proven ability to facilitate workshops with mixed ...

types and technologies in data warehouse and data lake solutions. Examples include relational DBMS (e.g. Oracle), Hadoop, NoSQL (e.g. Hbase), Columnar DBs (e.g .Amazon Redshift), Graph DBs (e.g. Neo4J), cloud object storage (e.g. Amazon S3), cloud DB as a service (e.g. Amazon RDS) · Understanding of architecture ...

initiatives. Build scalable data integration and ingestion frameworks using AWS Glue, Step Functions, EventBridge and DMS. Design secure lakehouse and data warehouse solutions leveraging Amazon S3, AWS Lake Formation, Redshift and Athena. Enable AI and machine learning capabilities through governed, feature-ready datasets and integration with ...