1 to 25 of 26 Remote/Hybrid Permanent Amazon Redshift Jobs

monolithic EC2-centric AWS infrastructure by making use of containers and AWS managed services. Building AI applications using AWS’ suite of AI services including Amazon Bedrock. Using multimodal LLMs to build applications that supercharge existing businesses with AI. Building data processing pipelines on AWS. Writing Terraform or CloudFormation … following: Infrastructure as code (IaC) with Terraform and/or CloudFormation Containerization of Python, NodeJS, PHP and .NET applications using Docker on either Amazon ECS, Amazon EKS or AWS Elastic Beanstalk. Building applications or workloads with Foundational Models such as OpenAI’s GPT, Anthropic Claude, Amazon Bedrock ...

Google Cloud Platform or related technologies. • Experience with other cloud platforms (eg AWS, Azure, Snowflake) and data warehouse/lakehouse technologies (eg Redshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance frameworks.Your characteristics as a Consultant will include: • Driven ...

security standards Technical Responsibilities Design and support solutions on AWS, Azure, or GCP Work with tools such as Databricks, Snowflake, Spark, Kafka, Synapse, or Redshift Support ETL/ELT pipelines and data workflows Contribute to CI/CD and DataOps practices Assist with cost optimisation and monitoring Governance & Compliance ...

EXPERIENCE The successful Senior Data Engineer will have the following skills and experience: Hands-on experience with AWS cloud data technologies such as Redshift, Glue, S3, Lambda or IAM. Proficiency in SQL and Python for data processing and orchestration tools such as Airflow Experience with modern modelling approaches ...

EXPERIENCE The successful Senior Data Engineer will have the following skills and experience: Hands-on experience with AWS cloud data technologies such as Redshift, Glue, S3, Lambda or IAM. Proficiency in SQL and Python for data processing and orchestration tools such as Airflow Experience with modern modelling approaches ...

Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault • Experience with Delta Lake, Parquet, and data modeling ...

Solid cloud experience — ideally AWS (open to GCP). Orchestration experience (Dagster, Airflow, or similar). Experience with modern data warehouses such as Snowflake, Redshift, or BigQuery. Infrastructure‐as‐code experience (Terraform or Pulumi). Strong data modelling capability (dimensional modelling, Data Vault, etc.). Background in software engineering ...

Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work ...

Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work ...

Skills requirements SQL ELT/ETL Data Modelling dbt models Version control (Git) Data processing and orchestration using Airflow or similar Google BigQuery or Redshift Cloud based services: GCP (preferred) or AWS Agentic development frameworks Automations About You 4 years+ experience as a Data Engineer solving complex and scaled ...

implementing AWS-native ETL pipelines using S3, Glue, Athena, Step Functions. Building scalable, ACID-compliant datasets using Apache Iceberg. Running cost-efficiency initiatives across Redshift and broader AWS services. Consolidating fragmented environments into a secure, multi-tenant data platform. Implementing automated data quality and validation workflows. Establishing platform-wide ...

scaling data platforms in a cloud-native environment (AWS, GCP, or Azure). Deep understanding of modern data stacks (e.g. Snowflake/BigQuery/Redshift, dbt, Airflow, BI tools. Comfort operating at both strategic and hands-on levels. Track record of partnering with non-technical stakeholders and influencing ...

automation, CI/CD pipelines, IaC, monitoring systems to ensure scalable, reliable data workflows. AWS data tooling such as S3/Glue/Redshift/SageMaker (Or relevant experience in another cloud technology). Familiarity with Docker/ec2, Terraform and CI/CD platform (Github Actions & Admin). ...

projects with varied tech stacks across multiple industries. Access professional development, including technical courses, certifications, mentoring, and coaching. Tech stack: AWS cloud (EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB) for ETL, data lake/warehouse design, and data movement. Programming: Java, Python, Scala, Spark, SQL. Experience integrating and processing large ...

data infrastructure, ideally on AWS using IaC You have experience with Lakehouse and modern Data Warehouse patterns; AWS S3-based Lakehouse patterns, Athena/Redshift, Glue, EMR and related native services and Metabase for self-service analytics You have experience of designing and operating data ingestion pipelines at scale ...

solutions Strong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda, Redshift) Ability to clearly communicate insights to non-technical stakeholders Strong analytical thinking, collaboration skills, and a results-driven mindset Role responsibilities: Build, tune ...

designing and building data platforms and data architectures - Hands on experience with design and build of cloud data warehouses - Snowflake experience is desirable, though Redshift or Synapse are also suitable - Experience with data orchestration tools such as Airflow or Prefect - Strong coding ability in Python, Java, or Scala - Experience ...

across AWS, Azure, and GCP data services. Deep knowledge of data modelling (conceptual, logical, physical) and domain-driven design. Experience with Snowflake, Databricks, BigQuery, Redshift, Synapse or similar platforms. Strong understanding of data governance, security, GDPR, and regulatory frameworks. Certifications – TOGAF/SAFe/Agile Why Join: Fully remote ...

data infrastructure, ideally on AWS using IaC You have experience with Lakehouse and modern Data Warehouse patterns; AWS S3-based Lakehouse patterns, Athena/Redshift, Glue, EMR and related native services and Metabase for self-service analytics You have experience of designing and operating data ingestion pipelines at scale ...

experience for provisioning cloud infrastructure • Experience using at least one modern BI tool (e.g., Metabase, Power BI, Looker) • Deep AWS experience (S3, Lambda, Glue, Redshift, OpenSearch) • Hands-on experience deploying AI/LLM-based systems into production • Experience using dbt Cloud for transformation pipelines • Familiarity with tracing and observability … proprietary and external data (using Lambda, Glue, Terraform) • Own embedding pipelines for retrieval-augmented generation systems • Manage infrastructure-as-code for all core components (Redshift, S3, VPC, IAM, OpenSearch) Analytics Engineering & BI • Maintain and evolve a clean, documented data model (dbt Cloud leverage Fusion) • Develop and maintain BI dashboards ...

AWS. Create and manage data models that support efficient storage, retrieval, and analysis of data. Utilise AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda to architect and maintain cloud data solutions. Maintain modular Terraform based IaC for reliable provisioning of AWS infrastructure. Develop, optimise … transformation workflows. Strong SQL skills (postgresql) and advanced Python coding capability (essential). Experience working with AWS services such as S3, EC2, Glue, Aurora, Redshift, DynamoDB and Lambda (essential). Understanding of Terraform codebases to create and manage AWS infrastructure. Experience developing, optimising, and maintaining data pipelines using Apache ...

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 Machine Learning Engineer (Python ...

cloud environment. * Proven capability with AWS, Python, SQL, and Airflow. * Hands-on experience designing and maintaining data pipelines and data models. * Knowledge of Redshift or similar cloud data warehouse tools. * Experience with infrastructure-as-code tools such as Terraform. * Understanding of data governance, quality, and architectural best practices. * Comfortable … with 2-3 days per week in the office. * A collaborative culture and clear opportunities for technical growth. * Exposure to modern tooling including AWS, Redshift, Airflow, Terraform, and dbt. * The chance to shape a data platform and have meaningful influence on engineering standards. How to Apply ...

ROLE: A remote working Analytics Engineer will need to: Design and build data models Support implementation and maintenance of ELT pipelines Ingest data into Redshift Utilise tools like Fivetran Transform data using DBT YOUR SKILLS AND EXPERIENCE: A successful Analytics Engineer will have the following skills and experience: Ability ...

C++ but you must be happy to use Golang going forward) You have a strong knowledge of AWS - they're using AWS SNS & SQS, Amazon CDK, DynamoDB, Redshift, Lambda, Fargate You have worked on critical systems that cannot afford to fail You have experience with SOLID design principles ...