76 to 100 of 247 Amazon Redshift Jobs

experience with data orchestration tools: e.g. Apache Airflow, Dagster. Experience with big data storage and processing technologies: e.g. DBT, Spark, SQL, Athena/Trino, Redshift, Snowflake, RDBMSs (PostgreSQL/MySQL). Knowledge of event‐driven architectures and streaming technologies: e.g. Apache Kafka, Kafka Streams, Apache Flink. Experience with public ...

technologies to accelerate software development and business capability is highly desirable Experience with Docker, AWS and/or Google Cloud Platform Advanced SQL (Amazon Redshift, T-SQL) and data modelling Experience developing AI applications using Large Language Models (LLMs), including prompt engineering, RAG, vector databases, embeddings and commercial ...

Agile team. You bring 5+ years in data engineering, strong Oracle 19c+ experience, warehousing concepts, ETL/ELT, and cloud familiarity (AWS Redshift/RDS). Bonus familiarity with dbt and CI/CD will help you improve data quality and performance. #J-18808-Ljbffr ...

Tableau (Desktop & Server/Cloud), with proven experience in building dashboards and complex visualizations. Experience integrating Tableau with data warehouses/lakes (e.g., Snowflake, Redshift, Teradata, BigQuery). Strong analytical, problem-solving, and communication skills. Knowledge of BI lifecycle and governance, including report certification and metadata usage. Familiarity with ...

engineering standards and contribute to continuous improvement Support incident management and ongoing maintenance of BI solutions Skills & Experience Experience with AWS data services (e.g. Redshift, Athena, S3, Glue, Lambda) Strong SQL skills Exposure to SnapLogic or similar integration platforms Proficiency in Python (including PySpark) Familiarity with modern data tooling ...

fintech, SaaS, or digital platforms Deep proficiency in SQL and hands-on experience with dbt Experience working with modern data warehouses (Snowflake, BigQuery, or Redshift) Familiarity with software engineering principles (Git, CI/CD, testing frameworks) Strong understanding of data visualisation and BI tools Confident communicator able to translate ...

Pandas, NumPy, and SQLAlchemy. Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift). Experience with time-series data, and/or implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps ...

build and manage automated data pipelines. Cloud Data Platforms: Hands-on experience with Snowflake (highly desirable) or similar cloud-based data warehouses (e.g., BigQuery, Redshift).Additional Programming: Knowledge of C# and experience working within a .NET environment. AI Tooling: Experiencing utilising AI-assisted development tools, such as Github Copilot ...

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 ...

skills, including complex joins, window functions, aggregation, and query optimization; Experience with a major data warehouse or big data technology such as BigQuery, Snowflake, Redshift, Hive, Spark, Vertica, or StarRocks; Experience with ETL/ELT tools or orchestration frameworks such as Airflow, dbt, or internal frameworks; Proficiency ...

/validation experience: designing metrics and KPIs to verify and automate management of data quality. Good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). Desirable Skills Working experience in Data Lakehouse environments ...

build and manage automated data pipelines. Cloud Data Platforms: Hands-on experience with Snowflake (highly desirable) or similar cloud-based data warehouses (e.g., BigQuery, Redshift). Additional Programming: Knowledge of C# and experience working within a .NET environment. AI Tooling: Experiencing utilising AI-assisted development tools, such as Github ...

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 ...

Governance and Data Classification policies. 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 Python CI automation systems such as Jenkins A git‐based source control system such as BitBucket Data Warehouse ...

optimisation Experience with ETL/ELT design and implementation Experience working with AWS data services Experience working with a cloud data warehouse (e.g. Snowflake, Redshift, or similar) Experience designing and implementing APIs Strong problem-solving skills and ability to work with evolving requirements Good communication skills and 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 ...

frameworks Experience with enterprise-scale implementations of cloud-native data platforms such as Databricks and Snowflake Good understanding of AWS data analytics services, including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns, with demonstrated experience architecting end-to-end data solutions Experience navigating complex ...

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 Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using ...

using tools such as SQL, dbt, Python, Business Intelligence platforms, or Product Analytics tools. Familiarity with databases and cloud data warehouses (e.g., Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks). A successful record of experience in sales engineering, customer success, client‐facing professional services, consulting, or technical ...

Data Architect or similar data-led engineering role. Strong technical capability across data modelling, integration, governance, and transformation. Experience with AWS (S3, Glue, Redshift, Lambda, Kinesis) and/or Azure (ADF, Synapse, Fabric). Familiarity with modern data platforms (e.g. Databricks, Snowflake, or Lakehouse environments). Ability to operate ...

with working knowledge of JavaScript or Python preferred Solid understanding of data modeling, cloud data platforms, and BI/analytics tools such as Snowflake, Redshift, BigQuery, Synapse, Tableau, Looker, or similar Strong ability to understand customer needs, solve technical and business challenges, and clearly communicate value to technical, business ...

Strong expertise designing and implementing cloud-based data architectures, particularly within AWS environments. Deep technical knowledge of AWS services, including EC2, S3, RDS, Lambda, Redshift , and related data services. Proven experience designing secure architectures within sensitive or highly regulated environments. Hands-on experience with Apache Flink and real-time ...

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 ...

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 ...

compute/storage, tagging). Python for analytics/automation (e.g., pandas) and building repeatable pipelines. Experience with cloud data platforms (e.g., Snowflake/Redshift/BigQuery) and ELT tooling (e.g., dbt). J.P. Morgan is a global leader in financial services, providing strategic advice and products ...