1 to 25 of 85 Amazon Redshift Jobs

working in fast-paced environment, have full ownership of your work, and build a team of excellent engineers - this role is for you! Amazon Redshift is rapidly growing, fast, fully managed, petabyte-scale data warehouse service in the cloud. It enables customers to dramatically increase their query performance … when analyzing virtually any size data set using the same SQL-based business intelligence tools they use today. At the center of the Redshift Data warehouse is the team responsible for building the most intelligent and performant query execution engine. This team uses data from our service deployment ...

with strong engineering fundamentals and a proactive, delivery-focused mindset. Core Skills & Experience Required: Strong hands-on experience with IBM DataStage Proven expertise with Amazon Redshift , Amazon S3 , and Amazon QuickSight Extensive experience in data migration and ETL processes (both batch and real-time) Data warehouse ...

enterprise reporting. Lead the BI roadmap: consolidation, migration, and modernization (e.g., SSRS/Excel to Power BI; on-prem to AWS Glue + Amazon Athena + Amazon Redshift + Amazon QuickSight). Design and optimize complex data models using Tabular Editor and DAX Studio. • Manage ...

streaming systems like Kafka or Kinesis. Cloud Infrastructure: Experience deploying data systems on AWS/Azure/GCP. Familiar with cloud data lakes, warehouses (Redshift, BigQuery, Snowflake), and cloud based processing engines (EMR, Dataproc, Glue, Synapse). Comfortable with Linux and shell scripting. Data Governance & Security: Knowledge of data ...

8+ years of experience in data engineering or data platform development within enterprise environments Strong expertise in AWS data services (such as S3, Glue, Redshift, EMR, Athena, Lambda or similar) Strong programming experience with Python and SQL Hands-on experience with Spark or distributed data processing frameworks Proven experience ...

various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data ...

Core experience required: Strong Python development, particularly for data ingestion, crawling, parsing, and transformation. Extensive experience working with SQL and analytical databases, ideally including Amazon Redshift or similar time-series platforms. Experience building production data pipelines in AWS cloud environments. Familiarity with Docker containers and CI/ ...

Proficiency in Python or Scala for data processing Strong SQL skills for querying and managing relational databases Experience with AWS services including S3, Glue, Redshift, Lambda, and Athena Knowledge of ETL processes and data pipeline development Understanding of data modelling and data warehousing concepts Familiarity with version control systems ...

following are nice to have: Data Engineering & Programming: • Python • SQL • Spark/PySpark • Scala • Data modelling and warehousing concepts Cloud & Platforms: • AWS (S3, Redshift, Glue, EMR, Lambda) • Other cloud platforms (Azure/GCP considered) • Data lake and data warehouse architectures General: • Strong problem-solving skills • Experience working in agile ...

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 ...

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 ...

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 – You will ...

with Databricks (Spark, PySpark, SQL) Strong expertise in Talend ETL tools Proficiency in SQL and data validation techniques Experience with data warehousing concepts (Snowflake, Redshift, BigQuery, etc.) Familiarity with test automation frameworks for data pipelines Strong understanding of data quality, governance, and lineage Experience working in Agile/Scrum ...

Preferred Qualifications (A Plus) Experience with a distributed computing framework like Apache Spark (using PySpark). Familiarity with cloud data services ( AWS S3/Redshift, Azure Data Lake/Synapse, or Google BigQuery/Cloud Storage ). Exposure to workflow orchestration tools ( Apache Airflow, Prefect, or Dagster ). Bachelor ...

systems to ensure scalable, reliable data workflows. You bring professional experience with the following tools: AWS data tooling such as S3/Glue/Redshift/SageMaker. Familiarity with containerization (e.g., Docker/ec2), Orchestration in enterprise environment (Airflow), Infrastructure automation (Terraform), and CI/CD platform (Github Actions ...

challenges 🛠 Technical Environment Core Expertise Advanced SQL & Python Deep DBT experience (modelling, testing, macros, documentation) Workflow orchestration (Dagster preferred) Cloud data warehouses (Snowflake, BigQuery, Redshift, etc.) Data modelling for analytics and AI use cases API integrations and ingestion design patterns AI/ML Infrastructure Feature engineering architecture ML pipeline ...

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 ...

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 ...

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 ...

expertise with Snowflake (architecture, performance tuning, security, Snowpipe, streams/tasks) Strong experience with AWS cloud data ecosystem, ideally including: S3, Glue, Lambda, Redshift, EMR, Kinesis, IAM, CloudWatch Strong SQL skills and proficiency in Python, DBT Understanding of data governance frameworks (e.g., Collibra, Alation is a plus) Hands ...

using Python Write and optimise SQL queries Collaborate with stakeholders to deliver data-driven solutions Key Requirements Strong AWS experience (S3, Glue, Lambda, Athena, Redshift, DynamoDB) Python and SQL expertise Knowledge of ETL and data pipeline design Familiarity with GitLab and Infrastructure as Code (Terraform/CloudFormation) What ...

using Python Write and optimise SQL queries Collaborate with stakeholders to deliver data-driven solutions Key Requirements Strong AWS experience (S3, Glue, Lambda, Athena, Redshift, DynamoDB) Python and SQL expertise Knowledge of ETL and data pipeline design Familiarity with GitLab and Infrastructure as Code (Terraform/CloudFormation) What ...

Engineer, ideally with exposure to People Analytics or similar domains. Deep expertise with SQL and modern data warehousing technologies (e.g., Snowflake, BigQuery, Redshift, Databricks). Proven experience building production-ready pipelines using tools such as dbt, Airflow, Dagster, Prefect, or similar. Experience integrating data from HRIS and talent systems ...