Delivery Consultant - Data Analytics, AWS Professional Services Job ID: 2955199 | Amazon Web Services Australia Pty Ltd Are you a Data Analytics specialist? Do you have Real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake and Data engineering experience? Do you like to solve the most … the latest data analytics technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services, we’re hiring highly technical cloud architect specialised in data analytics to collaborate with our customers and partners to derive business value … Key job responsibilities - Expertise - Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, AmazonRedshift, AmazonMore ❯
the latest data analytics technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services, we're hiring highly technical cloud architect specialised in data analytics to collaborate with our customers and partners to derive business value … Key job responsibilities Expertise - Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, AmazonRedshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker and Amazon Quicksight. Solutions - Deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. Delivery - Engagements include projects proving the use More ❯
and reliable ETL (Extract, Transform, Load) pipelines from various data sources to target destinations using AWS services. Utilize AWS services such as AWS Glue, Amazon Kinesis, and Amazon EMR to build and manage efficient data ingestion and processing workflows. Transform raw data into usable formats, applying programming concepts … practices to ensure data quality and consistency. Design and implement effective data models and select appropriate data storage solutions based on business requirements, including Amazon S3, AmazonRedshift, and/or Amazon DynamoDB. Establish and maintain a comprehensive data catalog, documenting data schemas and managing data … A minimum of 4 years of professional experience in data engineering or data architecture. At least 2 years of hands-on experience working with Amazon Web Services (AWS). Proven experience in setting up and maintaining ETL pipelines using AWS services like AWS Glue, Amazon Kinesis, and AmazonMore ❯
the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we're hiring highly technical data architects to collaborate with our customers and partners on key engagements. Our consultants will develop … pre-sales, training and support teams to help partners and customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB, QuickSight, Amazon EMR and Amazon Redshift. Since this is a customer facing role, you might be required to travel to client locations and deliver professional … If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's More ❯
for an experienced Senior Data Engineer to start ASAP for a leading Financial Services client in Watford, ideally you come from a similar background. AmazonRedshift and AWS Glue are essential for this role - You must have experience of these in a commerical setting. Hybrid working Salary - Between … Depending on experience Key skills/experience • 4+ years of experience as a Data Engineer or on a similar role. • Extensive experience with SQL, AmazonRedshift & ideally MySQL. • Extensive experience with visualisation tools, ideally with Amazon QuickSight. • Experience with AWS Glue and the ability to write Python … with JIRA & Confluence. • Knowledge of SAP Business Objects would be helpful but not necessary - currently in use but in the process of migrating to Redshift & QuickSight. Our clients pride themselves on hiring the best in the industry, in return they offer a salary of somewhere between £80,000 to More ❯
Marketing Business Analyst, Amazon Publishing Job ID: Amazon UK Services Ltd. Amazon Publishing is seeking a data-driven, author- and reader-obsessed leader to fill the position of Business Analyst. The successful candidate will be thoughtful, analytical, and have a demonstrated ability to effectively influence the decisions … to deliver business recommendations are key. The role operates in a fast-paced, global, results-oriented environment, and provides decision support and advice for Amazon Publishing leaders. Amazon Publishing is the full-service publishing arm of Amazon. We publish emerging, bestselling and critically-acclaimed authors in digital, print … concept to completion Experience using data and metrics to measure impact and determine improvements Experience in marketing or marketing research PREFERRED QUALIFICATIONS Experience in AmazonRedshift and other AWS technologies Experience with Tableau, Quicksight or a similar data visualization tool Analytical mindset and ability to see the big More ❯
Manchester Area, United Kingdom Hybrid / WFH Options
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And future opportunities) *To be successful in this role we are looking for someone who is particularly strong in Oracle Data Integrator (ODI) or AmazonRedshift/AWS - Or ideally both :) This can be offered as "mostly remote" however you will need to be comfortable going to the … scratch Oracle Databases and hopefully experience of ODI (Oracle Data Integrator) (Can be learnt in role) Experience in AWS, perhaps some Informatica/SSIS AmazonRedshift - this can be learnt if not used as yet Perhaps exposure to S3 Experience in Data Integration, APIs and Storage solutions Comfortable More ❯
libraries (e.g., Pandas, NumPy). Familiarity with data storage technologies (e.g., PostgreSQL, MongoDB, Hadoop). Experience with data warehousing concepts and tools (e.g., Snowflake, Redshift) is a plus. Knowledge of ETL processes and tools (e.g., Apache Airflow, Talend). Strong analytical and problem-solving skills with attention to detail. More ❯
Amazon Marketing team is working on a platform that will provide real-time insights of traffic, sales, deals, engagement and is looking for a rock star data engineer to build this. At Amazon, understanding customer data is paramount to our success in making it Earth's most measurably … effective marketing organization. This cuts across all of the investments we do across various verticals of A.in, Prime, Fashion, Fresh, Pay etc. At Amazon you will be working in one of the world's largest and most complex data environments. You will be part of a team that will … work with the marketing, retail, finance, analytics, machine learning, and technology teams to provide real-time data processing solutions that give Amazon leadership, marketers, and PMs timely, flexible, and structured access to customer insights. The team will be responsible for building this platform end to end using the latest More ❯
development and implementation of complex data pipelines and ETL/ELT processes using cloud-native technologies (e.g. AWS Glue AWS Lambda AWS S3 AWS Redshift AWS EMR). Develop and maintain data quality checks data validation rules and data lineage documentation. Collaborate with data analysts data scientists business stakeholders More ❯
Greater Bristol Area, United Kingdom Hybrid / WFH Options
Peaple Talent
Talend and SnapLogic for streamlined pipeline development. Strong experience working with cloud-based data services, especially within AWS environments, utilizing tools like Lambda, S3, Redshift, Glue, Athena and Secrets Manager. Skilled in building modern data warehouses on platforms like AmazonRedshift, Snowflake, or Databricks. If you are More ❯
from various sources into AWS data stores for both batch and streaming data ingestion. AWS Expertise: Utilize your expertise in AWS services such as Amazon EMR, S3, AWS Glue, AmazonRedshift, AWS Lambda, and more to build and optimize data solutions. Data Modeling: Design and implement data … a related field. 5 to 8 years of experience in data engineering, including working with AWS services. Proficiency in AWS services like S3, Glue, Redshift, Lambda, and EMR. Knowledge of Cloudera-based Hadoop is a plus. Strong ETL development skills and experience with data integration tools. Knowledge of data More ❯
experience in data engineering (5+ years), with at least 2 in a people leadership role. Hands-on experience with data warehouse solutions such as Redshift, Snowflake, or BigQuery. Strong command of SQL and programming languages like Python, Scala, or Java. Familiarity with ETL/ELT tools (e.g., Airflow, Fivetran More ❯
experience in data engineering (5+ years), with at least 2 in a people leadership role. Hands-on experience with data warehouse solutions such as Redshift, Snowflake, or BigQuery. Strong command of SQL and programming languages like Python, Scala, or Java. Familiarity with ETL/ELT tools (e.g., Airflow, Fivetran More ❯
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 More ❯
an Agile Software Development environment. • Demonstrated team-player enabling joint success and a continuous learner. Preferred Qualifications • Experience with data platforms (e.g., Databricks, Snowflake, AmazonRedshift, Palantir, etc.) and technologies for processing large datasets. • Familiarity with distributed platforms such as Kubernetes or those offered by cloud providers (AWS More ❯
workflows. Strong analytic skills related to working with unstructured datasets. Engineering best practices and standards. Experience with data warehouse software (e.g. Snowflake, Google BigQuery, AmazonRedshift). Experience with data tools: Hadoop, Spark, Kafka, etc. Code versioning (Github integration and automation). Experience with scripting languages such as More ❯
CD pipelines for Kubernetes deployments. Qualifications Experienced AWS DevOps engineer Proficient with AWS services like S3, Data Lakes, Glue, IAM, Data Pipelines, Lambda, QuickSight, Redshift, Fargate Deep understanding of AWS services, especially EKS and data-related services (S3, RDS Postgres) Strong knowledge of containerization technologies (Docker, Kubernetes) Experience with More ❯
CD pipelines for Kubernetes deployments. Qualifications Experienced AWS DevOps engineer Proficient with AWS services like S3, Data Lakes, Glue, IAM, Data Pipelines, Lambda, QuickSight, Redshift, Fargate Deep understanding of AWS services, especially EKS and data-related services (S3, RDS Postgres) Strong knowledge of containerization technologies (Docker, Kubernetes) Experience with More ❯
the client's enterprise strategy. Proven experience as a Data Solution Architect, with expertise in various AWS services such as EC2, S3, Aurora, DynamoDB, Redshift, Lambda, Glue, Athena, Quicksight, and Sagemaker, among others. Proficiency in Snowflake's architecture and familiarity with its features, including Snowpipe, Streams, and Tasks used More ❯
to demonstrate how to automate and manage data systems so they run smoothly and can grow easily. Experience with tools like AWS (S3, Glue, Redshift, SageMaker) or other cloud platforms. Familiarity with Docker, Terraform, GitHub Actions, and Vault for managing secrets. Proficiency in SQL, Python, Spark, or Scala to More ❯
is critical for structuring data for analysis. Proficiency in cloud platforms, such as AWS and GCP, with hands-on experience in services like Databricks, Redshift, BigQuery, and Snowflake, is highly valued. Advanced Python skills for data manipulation, automation, and scripting, using libraries like Pandas and NumPy, are necessary for More ❯
4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation 4+ years of data warehousing experience (Redshift or Snowflake) Familiarity with Industry standards related to Data Experience with data mesh, data lakehouse architectures and real-time data pipelines Capital One will More ❯
Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the comprehensive e-commerce product catalog. We power the online shopping experience for customers worldwide, enabling them to find, discover, and purchase anything they desire. Our scaled, distributed systems process hundreds of millions of updates across … decision making Leading reporting and analytics initiatives to drive data-informed decision making Designing, developing, and maintaining ETL processes and data visualization dashboards using Amazon QuickSight Transforming complex business requirements into actionable analytics solutions. About the team: This central BIE team within ASCS will be responsible for building a … quality controls and real-time monitoring will ensure consistent data quality across the organization. BASIC QUALIFICATIONS - 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience More ❯
