Delivery Consultant - Data Analytics, AWS Professional Services Job ID: 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 complex and high scale (billions+ records) data challenges in the world … high impact projects that use 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 from latest in analytics services. … decisions and desired customer outcomes. 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), AmazonKinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation More ❯
Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work … as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career … is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS 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 why customers from the most successful startups to Global 500 companies More ❯
value through the adoption of Artificial Intelligence (AI)? Eager to learn from many different enterprise’s use cases of AWS ML and DL? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology? At AWS ProServe India LLP (“ProServe India”), we are helping large enterprises … business impact to the organization. • Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our internal customers build DL models. • Use SparkML and Amazon Machine Learning (AML) to help our internal customers build ML models. • Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data. • Work with … candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? 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 why customers from the most More ❯
London, England, United Kingdom Hybrid / WFH Options
RED Global
for skills in the following: Proven experience as an AWS Data SME or AWS Data Engineer , working extensively with AWS cloud services. Expertise in AWS Redshift, Glue, Lambda, Terraform, Kinesis, Athena, and EMR . Strong ETL/ELT development and data warehousing experience. Proficiency in Python, Java, or Scala for data processing and automation. In-depth knowledge of SQL … Apache Kafka, and Amazon RDS . Experience in data security, governance, and compliance best practices . Familiarity with CI/CD pipelines, DevOps methodologies, and monitoring/logging best practices . Strong problem-solving skills , with the ability to work in a collaborative and fast-paced environment . Preferred Qualifications: AWS Certified Data Analytics - Specialty or AWS Certified Solutions More ❯
control with Git or SVN. Capable of presenting technical issues and successes to team members and Product Owners. Nice to Have Experience with any of these- Python, Spark, Kafka, Kinesis, Kinesis Analytics, BigQuery, Dataflow, BigTable, and SQL. Enthusiastic about learning and applying new technologies (growth mindset). Ability to build new solutions and support our data solutions/ More ❯
team members and Product Owners. Has experience of people management or desire to manage individuals on the team Nice to Have Experience with some of these- Python, Spark, Kafka, Kinesis, Kinesis Analytics, BigQuery, Dataflow, BigTable, and SQL. Enthusiastic about learning and applying new technologies (growth mindset). Ability to build new solutions and support our data solutions/ More ❯
gather requirements and build a roadmap. Develop and manage the engineering budget, ensuring cost-effectiveness and tracking expenditure. Utilize AWS, Terraform, CI/CD (GitHub Actions), Python, Java, Kafka, Kinesis, and Microservices. If you are interested, please get in touch. #J-18808-Ljbffr More ❯
as a Database Designer & Senior Data Engineer, with hands-on experience in cloud based data services. Proficiency in SQL, Python, or Scala. Experience with AWS RDS, AWS Glue, AWS Kinesis, AWS S3, Redis and/or Azure SQL Database, Azure Data Lake Storage, Azure Data Factory. Knowledge of data modelling, ETL processes, and data warehousing principles. Preferred Skills Strong More ❯
as a Database Designer & Senior Data Engineer, with hands-on experience in cloud based data services. Proficiency in SQL, Python, or Scala. Experience with AWS RDS, AWS Glue, AWS Kinesis, AWS S3, Redis and/or Azure SQL Database, Azure Data Lake Storage, Azure Data Factory. Knowledge of data modelling, ETL processes, and data warehousing principles. Preferred Skills Strong More ❯
complex and large-scale project management experience 5+ years of continuous integration and continuous delivery (CI/CD) experience 5+ years of database (e.g., SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience 5+ years of software development with object-oriented language experience 3+ years of cloud-based solution (AWS or equivalent), system, network, and operating system experience Bachelor's degree More ❯
systems Strong understanding of data modeling, ETL processes, and database design Demonstrated ability to architect solutions for big data challenges Preferred Qualifications Experience with real-time data processing (Kafka, Kinesis, Flink) Knowledge of containerization and infrastructure-as-code (Docker, Kubernetes, Terraform) Familiarity with MLOps practices and tools (MLflow, Kubeflow, etc.) Experience with data governance frameworks and data cataloging Understanding More ❯
as a Database Designer & Senior Data Engineer, with hands-on experience in cloud based data services. Proficiency in SQL, Python, or Scala. Experience with AWS RDS, AWS Glue, AWS Kinesis, AWS S3, Redis and/or Azure SQL Database, Azure Data Lake Storage , Azure Data Factory. Knowledge of data modelling , ETL processes, and data warehousing principles. Preferred Skills Strong More ❯
Proficiency in SQL and NoSQL databases. Design & Implementation: Experience with three or more of the following: Azure Synapse, Azure SQL DB, Cosmos DB, Mongo DB, Redshift, S3, Stream Analytics, Kinesis, Azure Data Factory, IoT Hub, Azure ML Studio, SageMaker Modelling, Azure Data Lake Gen2, HD Insight. Desirable Skills Experience in Fabric and Synapse is highly desirable Programming: Knowledge of More ❯
experience as a Data Engineer, with significant exposure to AWS environments Extensive knowledge of AWS services related to data and analytics such as AWS Glue, AWS Redshift, S3, Athena, Kinesis, and DynamoDB Extensive experience with data pipeline and workflow management tools High levels of proficiency in SWL and scripting languages such as Python Excellent problem-solving skills, attention to More ❯
would be a bonus Proven ability to ensure high standards of data quality, accuracy and completeness Proficient with GitHub for version control and collaboration Familiarity with AWS (S3, Glacier, Kinesis, Redshift), large datasets, Looker, and gaming industry Why join us There are many reasons to join us, but here are a few: We strongly believe we are changing how More ❯
systems Experience with BI/reporting engines or OLAP stores Deep Ruby/Rails & ActiveRecord expertise Exposure to ClickHouse/Redshift/BigQuery Event-driven or stream processing (Kafka, Kinesis) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to OSS or tech-blog posts on performance What Success Looks Like More ❯
Knowledge of orchestration tooling (e.g., Airflow, Dagster, Azure Data Factory, Fivetran) Desirable: - Experience deploying AI/ML models in production environments - Familiarity with AWS data services (e.g., S3, Glue, Kinesis, Athena) - Exposure to real-time data streaming and analytics paradigms #LI-RJ1 Skills: Data Engineering Snowflake What you can expect from us: Together, as owners, let’s turn meaningful More ❯
OLAP stores Deep Ruby/Rails & ActiveRecord expertise Exposure to ClickHouse/Redshift/BigQuery Hands-on MySQL tuning (indexes, partitioning, query plans) Event-driven or stream processing (Kafka, Kinesis) Proven record scaling background-job frameworks (Sidekiq, Resque, Celery, etc.) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to OSS or More ❯
systems Experience with BI/reporting engines or OLAP stores Deep Ruby/Rails & ActiveRecord expertise Exposure to ClickHouse/Redshift/BigQuery Event-driven or stream processing (Kafka, Kinesis) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to OSS or tech-blog posts on performance What Success Looks Like More ❯
systems Experience with BI/reporting engines or OLAP stores Deep Ruby/Rails & ActiveRecord expertise Exposure to ClickHouse/Redshift/BigQuery Event-driven or stream processing (Kafka, Kinesis) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to OSS or tech-blog posts on performance What Success Looks Like More ❯
systems Experience with BI/reporting engines or OLAP stores Deep Ruby/Rails & ActiveRecord expertise Exposure to ClickHouse/Redshift/BigQuery Event-driven or stream processing (Kafka, Kinesis) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to OSS or tech-blog posts on performance What Success Looks Like More ❯
systems Experience with BI/reporting engines or OLAP stores Deep Ruby/Rails & ActiveRecord expertise Exposure to ClickHouse/Redshift/BigQuery Event-driven or stream processing (Kafka, Kinesis) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to OSS or tech-blog posts on performance What Success Looks Like More ❯
systems Experience with BI/reporting engines or OLAP stores Deep Ruby/Rails & ActiveRecord expertise Exposure to ClickHouse/Redshift/BigQuery Event-driven or stream processing (Kafka, Kinesis) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to OSS or tech-blog posts on performance What Success Looks Like More ❯
Leeds, England, United Kingdom Hybrid / WFH Options
Halton Housing
roadmaps with Cox Automotive’s pan-European growth goals and client needs. Data Platform: Oversee the architecture of our data lakehouse (Snowflake, Databricks) and real-time pipelines (Kafka, AWS Kinesis). Salesforce Integrations: Ensure seamless workflows across Financial Services Cloud, Marketing Cloud, and CPQ. Decision Engine: Prioritise AI/ML use cases (e.g., dynamic pricing, desirability scoring) and ensure More ❯
