1 to 25 of 31 Remote/Hybrid Permanent Amazon Redshift Jobs

scalable data solutions within UK Central Government. What You'll Be Doing Design, build, and maintain production-grade data pipelines using AWS services including Amazon EMR, S3 and Lambda. Develop scalable data processing solutions using PySpark, Python and SQL with a focus on performance, resilience, testing and observability. Lead … essential). Proven experience delivering data engineering solutions within UK Central Government. Strong commercial experience with Informatica. Hands-on expertise with AWS services including Amazon EMR, S3 and Lambda. Advanced PySpark, Python and SQL skills for large-scale data processing. Experience building and maintaining enterprise-scale batch data pipelines. ...

ability to write, read, and optimise complex queries across large datasets Experience working with a cloud data warehouse such as Snowflake (preferred), BigQuery, Redshift, or Synapse Experience working in a modern cloud environment (AWS, GCP, or Azure), with exposure to core services such as cloud storage and orchestration Experience ...

maintaining ETL/ELT pipelines Commercial experience working with Azure or AWS cloud platforms Experience with modern data platforms such as Databricks, Snowflake or Redshift Experience using orchestration tools such as Airflow, Azure Data Factory or Prefect Strong understanding of data warehousing and data modelling principles Excellent problem-solving ...

technical innovation across the business. Requirements: Proven experience designing and delivering cloud-native data engineering solutions. Strong expertise with Azure (Data Factory, Synapse), AWS (Redshift, Glue), or GCP (BigQuery, Dataflow). Experience contributing to cloud data architecture and technical solution design. Strong programming skills in Python, Scala, or Java. ...

such as Beam and Flink.Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc.Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik.Agile Methodologies: Familiarity with Agile frameworks ...

SQL.Experience working with BI tools such as Qlik Sense/Qlik View, Tableau, Power BI, or equivalent is required.Experience working with Microsoft SQL Server, Amazon Redshift, and/or Amazon Athena is a plus.Understanding and experience with predictive analytics, statistical modelling, or machine learning is a plus.Bachelor ...

designing end-to-end data systems. Technical proficiency: Solid expertise in SQL and Python, experience with cloud data warehouses (e.g., BigQuery, Snowflake, or Redshift), and data transformation tools (such as dbt). Pipeline mastery: Practical experience building and operating batch or streaming pipelines using orchestration tools like Airflow, Prefect ...

data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect ð Work to agile best practices and cross-functionally with multiple teams and stakeholders. ...

data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect ð Work to agile best practices and cross-functionally with multiple teams and stakeholders. ...

contracts — and reason about warehouse cost and performance, not just correctness.Cloud data warehouse depth. Hands-on experience with Snowflake or a comparable MPP warehouse (Redshift, BigQuery).Experience scaling a data platform through growth — onboarding new business units, acquisitions, or data sources onto an existing model without rearchitecting from scratch. ...

data solutions on cloud platforms (Azure, AWS, GCP)Implement and manage data tools such as:Azure Data Factory/Synapse/DatabricksAWS Glue/Redshift/EMRGoogle BigQuery/DataflowEnsure systems are secure, scalable, and cost-efficientData Pipeline & Workflow ManagementDevelop orchestration workflows (e.g., Airflow, Prefect, Azure Data Factory)Monitor … frameworks (Spark, Hadoop)Experience with data pipelines and ETL toolsExpertise in at least one cloud platform:Azure (Synapse, Data Factory, Databricks)AWS (S3, Glue, Redshift, Lambda)GCP (BigQuery, Dataflow)Data Platform ExpertiseExperience with:Data warehousing solutionsStreaming technologies (Kafka, Kinesis, Pub/Sub)Familiarity with DevOps/DataOps practicesCI/ ...

experience with dbt or similar ELT tools. Experience building and optimising scalable data pipelines and data warehouses. Knowledge of AWS technologies such as Redshift, S3 and Athena. Experience with Airflow, Fivetran or similar orchestration and integration tools. Strong Linux/Unix and Bash scripting skills. A solid understanding ...

Data Governance and Data 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 DBTVisual Studio CodePythonCI automation systems such as JenkinsA git-based source control system such as BitBucketData Warehouse/Kimball ...

government or healthcare.Technical Expertise Expertise in cloud data platforms across AWS or Azure.Experience with modern data warehouse and lakehouse ecosystems such as BigQuery, Redshift, Synapse, Snowflake or Databricks. Familiarity with Machine Learning and Generative AI technologies. Active interest in agentic development approaches.Familiarity with SQL and Python or Java. Familiarity ...

including formats such as parquet, avro and JSONWrite efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure SynapseBuild scalable data processing solutions using PySpark, Python and cloud-native orchestration servicesImplement data quality checks, validation processes, monitoring and logging … Data Here's what you'll need AWS Glue, Lambda, Step Functions or Azure Data Factory, Synapse Pipelines, Azure Functions and Logic AppsPySparkSQL (Athena, Redshift, Azure Synapse SQL)AWS S3 or Azure Data Lake Storage Gen2Python and/or JavaETL/ELT data pipeline developmentData quality, validation and monitoringGit ...

skills Essential Confident with SQL for querying, exploring and shaping data Working knowledge of at least one cloud data platform (for example Snowflake, BigQuery, Redshift, Databricks or Azure Synapse) A good understanding of the data lifecycle: ingestion, transformation (ETL or ELT), modelling and getting data into a usable state ...

including formats such as parquet, avro and JSONWrite efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure SynapseBuild scalable data processing solutions using PySpark, Python and cloud-native orchestration servicesImplement data quality checks, validation processes, monitoring and logging … Data Here's what you'll need AWS Glue, Lambda, Step Functions or Azure Data Factory, Synapse Pipelines, Azure Functions and Logic AppsPySparkSQL (Athena, Redshift, Azure Synapse SQL)AWS S3 or Azure Data Lake Storage Gen2Python and/or JavaETL/ELT data pipeline developmentData quality, validation and monitoringGit ...

native data infrastructure, ideally on AWS using IaCYou 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 analyticsYou have experience of designing and operating data ingestion pipelines at scale (batch ...

Bring4+ years of professional experience building and shipping production-quality software.Strong SQL skills and real experience integrating with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, or similar).Solid grounding in at least one of Java or Python, and willingness to be effective in both.A genuine DevOps mindset: comfortable owning ...

layers: ingestion, warehouse, transformation, orchestration, reverse ETL. You've worked with tools like DLT/Fivetran/Airbyte (ingestion), BigQuery/Snowflake/Redshift (warehouse), DBT (transformation), Airflow/similar (orchestration).Strong Python programming - you write clean, testable, maintainable code with solid error handling and logging.Fluent … write complex queries, understand execution plans, and optimize for performance and cost.Experience with cloud data platforms - you've built data warehouses in BigQuery, Redshift, Snowflake, or similar; you understand distributed processing, partitioning, cost optimization, and data governance.Experience with infrastructure-as-code tools (Terraform, CloudFormation, Pulumi) or equivalent - you version ...

enterprise-scale cloud data platforms and enjoy solving complex technical challenges. Youll must have: Strong commercial experience with AWS data technologies including S3, Glue, Redshift and Lake Formation. Experience designing or implementing Lakehouse architectures. Excellent Python and SQL development skills. Experience working with large-scale, high-volume or regulated ...

such as Salesforce Understanding of how declarative platform automation silently alter data post-import Experience in relational cloud-based database technologies like Snowflake, BigQuery, Redshift Understanding of cloud computing security concepts Familiarity with DBT and Databricks Experience working in an agile environment Experience working with AI tools (Claude Code ...

with SQL and strong understanding of query execution, indexing strategies, partitioning, and performance tuning.Experience working with databases such as ClickHouse, PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, or other columnar databases.Understanding of modern data infrastructure: data lakes, ETL pipelines, CDC and data orchestration frameworks.Demonstrated ability to work with engineering ...

workflows using Fivetran, Airflow, DBT, or Databricks.Solid understanding of data modeling, dimensional design, and schema normalization at enterprise scale.Strong experience with AWS (S3, Redshift, Glue, Lambda) or GCP (BigQuery, Dataflow).Experience working with marketing or ad platform data (Google Ads, Meta, TikTok, DV360, Amazon Ads).Demonstrated expertise ...

native data infrastructure, ideally on AWS using IaCYou 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 analyticsYou have experience of designing and operating data ingestion pipelines at scale (batch ...