1 to 25 of 66 Amazon Redshift Jobs

Generative AI/LLM solutions and Data modernization/Lakehouse architectures on AWS.This pivotal role requires mastery of both domains - leveraging generative AI capabilities (Amazon Q, Amazon Bedrock, QuickSight) to drive executive conversations and opportunity creation, while delivering enterprise data modernization through Lakehouse architectures using AWS native services … presence.**Responsibilities****Strategic Leadership & Opportunity Development**• Drive top-of-funnel opportunity creation through two parallel tracks: engaging C-level stakeholders with generative AI demonstrations (Amazon Q, Amazon Bedrock) and identifying data modernization needs for Lakehouse transformations.• Lead the design and architecture of dual solution portfolios; 1) **Generative ...

engineering standards, frameworks, and reusable accelerators. • Drive performance tuning, cost optimization, and reliability of AWS data platforms. • Guide teams on best practices for Glue, Redshift, S3, PySpark, and Python. • Work closely with architects, product owners, and stakeholders to shape solutions. • Provide technical leadership during production issues, migrations, and modernization … programs. Core Technical Skills • Deep expertise in AWS Glue, S3, Redshift, PostgreSQL • Advanced PySpark and Python engineering • Experience with CDC, streaming, and event driven data architectures (Kinesis/MSK - good to have) • Strong understanding of data security, governance, and operational excellence • CI/CD, IaC (Terraform/CloudFormation - good ...

environment, contributing to technical discussions and problem-solving initiatives. Senior Data Engineer Requirements: Proven experience in building and managing cloud-based data platforms (AWS Redshift/Glue, Azure Data Factory/Synapse, Google BigQuery/Dataflow). Strong programming skills in Python, SQL, and Java for data engineering tasks. ...

HTML, and CSS Familiarity with asynchronous programming and event-driven architectures Understanding of data modeling and transformation using AWS services such as Glue, Lambda, Redshift, Athena, and S3 Familiarity with ML lifecycle concepts and tools Experience using Infrastructure as Code tools such as AWS CDK, CloudFormation, Terraform … Have: Experience with monitoring and analytics tools such as Grafana, InfluxDB, or similar Experience with cloud data stores and query engines such as Amazon Redshift, Athena, DynamoDB, Apache Iceberg and S3-based data lakes a plus Understanding of data modeling and transformation using AWS services such as Glue ...

Proficiency in SQL and data pipeline scripting (e.g., Python, PySpark). Experience with cloud platforms such as AWS, Azure, or Google Cloud (e.g., S3, Redshift, Snowflake, or Databricks). Familiarity with event streaming platforms such as Apache Kafka, Kinesis, or similar. Strong attention to detail with a commitment ...

working with CI/CD, Git and structured deployment processes An understanding of modern cloud data platforms and warehousing technologies such as BigQuery, Snowflake, Redshift, Synapse or Databricks Ability to work autonomously and prioritise your own workload Confidence working with non-technical stakeholders A pragmatic approach - able to balance ...

their products (S3, GCS, Kinesis, Pub/Sub, Lambda/Cloud functions, DataProc) Experience with one of the main databases for analytics (Redshift, BigQuery, Snowflake or other). Nice to have Experience modelling and transforming data from event collection to report curation, especially for e-commerce or affiliate businesses ...

5+ years' experience within Data Engineering or related development roles * Strong SQL development and optimisation experience * Hands-on experience across AWS technologies including S3, Redshift, RDS, MySQL and PostgreSQL * Strong understanding of data modelling, data structures, indexing, normalisation and reporting principles * Experience tuning and optimising complex queries and large ...

communities and quality forums Key Skills Strong experience designing and delivering scalable data engineering solutions Expertise in cloud-based data platforms such as AWS (Redshift, Glue), Azure (Data Factory, Synapse) or GCP (BigQuery, Dataflow) Advanced proficiency in SQL, including optimisation and performance tuning Strong experience with ETL/ ...

must have a proven track record of designing and implementing production-ready data warehouse solutions. Required Expertise: Expertise in data warehouse technologies (Snowflake, BigQuery, Redshift). Mastery of ETL/ELT tools and processes. Strong knowledge of SQL and data modeling techniques. Experience with cloud platforms ...

Experience Strong experience in a Data Engineering or similar role Expertise in distributed data architecture and orchestration Strong experience with AWS services (S3, Glue, Redshift, Lambda, Step Functions, Kinesis) Hands-on experience with tools such as Databricks or Snowflake Strong SQL and Python skills, including advanced query optimisation ...

pipelines, including support for legacy DataStage decommissioning and modernisation. Work with a variety of database technologies including relational, NoSQL, MPP and columnar stores (BigQuery, Redshift, Azure SQLDW, HBase, MongoDB). Build optimised, scalable data models. Apply performance tuning and optimisation across storage. Ensure secure handling of data including authentication ...

data pipelines. Proficient SQL skills for data analysis, validation, and troubleshooting. Experience working with data warehouses, data lakes, or big data platforms (e.g., Snowflake, Redshift, BigQuery, Spark). Engineering Practices & Tooling Experience with CI/CD pipelines and automated build and deployment processes. Strong experience with version control systems ...

data pipelines. Proficient SQL skills for data analysis, validation, and troubleshooting. Experience working with data warehouses, data lakes, or big data platforms (e.g., Snowflake, Redshift, BigQuery, Spark). Engineering Practices & Tooling Experience with CI/CD pipelines and automated build and deployment processes. Strong experience with version control systems ...

improvement of data architecture and workflows Skills and Experience Experience in a Data Engineering or similar role Strong experience with AWS services (S3, Glue, Redshift, Lambda, Step Functions, Kinesis) Hands-on experience with tools such as Databricks or Snowflake Strong SQL and Python skills, including advanced query optimisation ...

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 ...

implementing enterprise-scale data solutions Deep expertise in data modelling techniques with strong SQL proficiency Good knowledge of cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue, knowledge of Azure or GCP beneficial) and modern data engineering patterns including ETL/ELT Experience with data governance frameworks, data quality ...

hands-on experience in Spark/PySpark and modern table formats (e.g. Delta Lake, Iceberg, Hudi) Expertise in AWS data services (e.g. S3, Glue, Redshift, Lambda, Step Functions, Kinesis) and infrastructure-as-code (Terraform or CDK) Experience with workflow orchestration tools such as Airflow or similar Ability to design ...

outcomes Key Skills & Experience Essential Proven experience as an Enterprise Data Architect within complex environments Strong expertise across the AWS data ecosystem , including: S3, Redshift, Glue, Lambda Kinesis/streaming architectures Athena, EMR Experience delivering cloud-native data platforms at enterprise scale Strong background within Banking/Financial Services ...

designing and delivering enterprise-scale data solutions Proficiency in data modelling techniques and strong SQL skills Experience with cloud data platforms, particularly AWS (Redshift, Athena, S3, Glue); exposure to Azure or GCP is beneficial A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse ...

services (AWS, Azure, GCP) Extensive hands‐on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Software development experience with one or more languages (e.g. Python, Java, Scala, Go) Pragmatic approach to solving problems ...

platforms and services (AWS, Azure, GCP) Hands-on experience with modern data technologies and tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Pragmatic approach to solving problems Nice to haves Keen interest in modern AI/ML techniques Experience ...

efficient ingestion, transformation, and storage. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Build and optimise data lake and warehouse solutions using S3, Redshift, Athena, and Lake Formation. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Implement data governance, security, and compliance best practices, including IAM, encryption … Python, PySpark, SQL, and AWS Glue. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Hands-on experience with AWS data services including Redshift, Athena, Glue, EMR, and Kinesis. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Solid understanding of data modelling, warehousing, and schema design. ...

multiple projects simultaneously. Hands-on experience working with at least one OLAP-specific engine or analytical data warehouse technology (such as Apache Druid, ClickHouse, Amazon Redshift, Google BigQuery or Snowflake) to build scalable reporting solutions. Confidence can sometimes hold us back from applying for a job. ...

ideal candidate will have over 4 years of experience in data architecture, with expertise in data warehouse technologies such as Snowflake, BigQuery, or Redshift, and a strong command of SQL. Join us to help unlock critical insights and drive business growth through advanced analytics. #J-18808-Ljbffr ...