1 to 25 of 140 Amazon Redshift Jobs

for data processing and analysis. Spark Python API/PySpark Hands-on experience with AWS services related to data storage and processing (e.g., S3, Redshift, Glue). In-depth knowledge of Databricks Delta Lake and Light Tables. Familiarity with Databricks Asset Bundles (DAB's) for streamlining the development of more »

for data processing and analysis. Spark Python API/PySpark Hands-on experience with AWS services related to data storage and processing (e.g., S3, Redshift, Glue). In-depth knowledge of Databricks Delta Lake and Light Tables. Familiarity with Databricks Asset Bundles (DAB's) for streamlining the development of more »

Experience developing and implementing API service architecture Experience with relational databases such as MySQL or Postgres and understanding of columnar data stores such as Redshift or Snowflake Experience in working in a cloud environment such as AWS, GCP or Azure. Understanding of messaging systems like MQ, Rabbit MQ, Kafka more »

processes using AWS services such as AWS Glue, AWS Lambda, and AWS Data Pipeline. Data Storage Management : Manage and optimize data storage solutions, including Amazon S3, Amazon Redshift, and AWS RDS. Data Quality and Validation : Ensure data quality and integrity through validation and cleansing techniques. Collaboration : Work … focus on AWS and cloud technologies. Technical Skills : Proficiency in programming languages such as Python, Java, or Scala. Experience with AWS services including S3, Redshift, Glue, Lambda, and RDS. Strong SQL skills for data manipulation and querying. Familiarity with ETL tools and processes. Understanding of data modeling and database more »

Data Engineer; Adeptness in utilising AWS and Azure data and analytics services (or their open-source equivalents), including but not limited to EMR, Glue, RedShift, Kinesis, Lambda, Data Factory, and Databricks. Strong experience in data engineering, data science, and product development, encompassing experience in both stream and batch processing. more »

Data Engineer; Adeptness in utilising AWS and Azure data and analytics services (or their open-source equivalents), including but not limited to EMR, Glue, RedShift, Kinesis, Lambda, Data Factory, and Databricks. Strong experience in data engineering, data science, and product development, encompassing experience in both stream and batch processing. more »

and reporting. • Specialised in AWS cloud technologies for ETL, data warehouse, and data lake design. • Hands-on experience with AWS services like EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. • Capable of processing large volumes of structured and unstructured data on AWS. • Familiarity with AWS best practices in data engineering, data more »

pipelines (e.g., Beam, Flink etc) Proven expertise in designing and constructing data lakes and data warehouse solutions utilising technologies such as BigQuery, Azure Synapse, Redshift, Oracle, Teradata, and more. Familiarity with Agile methodologies, particularly Scrum, to support dynamic project management. Valuable contributions to open-source projects, reflecting your commitment more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

cases that need to be tested in order to fully understand the data; programming in Python or Ruby, utilizing AWS S3, MongoDB, PostgreSQL, AWS Redshift or similar database technologies; using Jupyter notebooks and one or more statistical visualization or graphing toolkits such as Excel, Qlik Sense or Tableau. Technical more »

with suppliers like Snowflake, FiveTran, and dbt. Requirements: Proven experience leading and mentoring data engineering teams. Hands-on with cloud-based data warehousing (Snowflake, Redshift, or Databricks) and SQL. Extensive knowledge of data management and Data Ops (ingestion, pipelines, CI/CD). Strong project management skills in a more »

London office also available if you want to ever work sometimes in office. Day rate DOE Ideally you will have experience in the following Amazon Redshift S3,Lambda, Python Not essential but useful to know they are importing CRD files - Full documentation provided by team They are looking … to import 15 files per quarter/each file 5m rows into Redshift One month rolling contract, depending on how much work is to be done, they may ask for your help on an ongoing basis for specific requirements and help with this data once they utilise your expertise more »

a deep understanding of enterprise software environments, especially Cloud/SaaS analytics/Data warehouse and Business Intelligence solutions, applications & technologies including BigQuery, Snowflake, Redshift, and Databricks. Commercial acumen: you are deeply data-driven and care about what moves the needle for pipeline creation, rather than focusing on vanity more »

join their Finance Team. Requirements To qualify for this role, you will require: · Strong experience with dbt and SQL · Experience working within Cloud Environments (Redshift, Bigquery, Snowflake) Salary A successful candidate will receive: · A Salary of up to £75,000 · Excellent progression opportunities Process- two interview stages 1st Stage more »

within the music industry. Requirements To qualify for this role, you will require: · Strong experience with SQL and Tableau · Experience working within Cloud Environments (Redshift, Bigquery, Snowflake) Salary A successful candidate will receive: · A Salary of up to £52,000 · Excellent progression opportunities Process- two interview stages 1st Stage more »

player who can work independently or lead a team as required. Strong knowledge of 3DS Max/Maya or C4D, Corona/VRay/Redshift, After Effects, Photoshop. Understanding of film language and shot selection. Knowledge of SideFX Houdini. Knowledge of Tyflow (if 3DS Max user) Benefits include: Salary more »

ANALYTICS ENGINEER CENTRAL LONDON, HYBRID £55,000 - £75,000 THE COMPANY A dynamic payments business dedicated to facilitating money transfers to 2nd and 3rd-world countries. They use data to democratize financial services, making it accessible, inexpensive, and secure for more »

using Python and the AWS Cloud Development Kit. You'll use a variety of services such as SNS, SQS and Lambda for event streams, Amazon Redshift, S3 and AWS Glue for data storage & reporting and Amazon SageMaker for our pioneering machine learning products. We are a growing … the communication skills to work with our colleagues across ECS to help them use our services. Python andAWS Services such as S3, Kinesis, Lambda, Redshift, DynamoDB, Glue and SageMaker Infrastructure-as-Code tools and approaches (we use the AWS CDK with CloudFormation) Data processing frameworks such as pandas, Spark more »

experience in shaping and designing data solutions (data analytics, data integration, data platform) using cloud-based hyperscales, with emphasis on AWS services including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, RDS, Athena, Kinesis, Quicksight. Hands on experience on design solutions using Snowflake and DBT. Familiarity with Databricks or more »

build relationships based on trust and value. The Lead Data Architect will design and implement solutions using a range of AWS infrastructure, including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, RDS, Athena, Kinesis, Quicksight. We also widely use other tech such as Snowflake, DBT, Databricks, Informatica, Matillion, Airflow … aligned to the functional and non-functional requirements Work closely with other members of agile deployment team Selection & configuration of appropriate, base technologies (eg Amazon Redshift, RDS) Selection & application of appropriate standards & principles Capture & implementation of functional & non-functional requirements Expert in data modelling and latest data trends more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »