COUNTRIES OVER 1,400 ACTIVE GLOBAL CLIENTS Job Description: Work with our customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, AmazonAthena, Amazon Sagemaker and more. Help our customers to remove the … Solution Architects, Data Scientists and Service Engineering teams Experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties Develop and define key business questions and … and implement them as part of data pipeline IT platform implementation experience Experience with one or more relevant tools ( Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis) Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc) Current hands-on implementation experience required Preferred Qualifications: Master more »
Diversity and Inclusion. Role : Machine Learning engineer Key Responsibilities Work with our customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, AmazonAthena, Amazon Sagemaker and more. Help our customers to remove the … Solution Architects, Data Scientists and Service Engineering teams Experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties Develop and define key business questions and … and implement them as part of data pipeline IT platform implementation experience Experience with one or more relevant tools ( Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis) Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc) Current hands-on implementation experience required Preferred Qualifications Masters more »
Diversity and Inclusion. Role : Machine Learning engineer Key Responsibilities Work with our customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, AmazonAthena, Amazon Sagemaker and more. Help our customers to remove the … Solution Architects, Data Scientists and Service Engineering teams Experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties Develop and define key business questions and … and implement them as part of data pipeline IT platform implementation experience Experience with one or more relevant tools ( Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis) Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc) Current hands-on implementation experience required Preferred Qualifications Masters more »
a Data Architect or similar role, with a focus on AWS cloud environments. Strong knowledge of AWS services relevant to data architecture, such as Amazon Redshift, AmazonAthena, Amazon S3, AWS Glue, and AWS Lambda. Experience designing and implementing data lakes, data warehouses, and analytics solutions more »
Spark. Exposure to Apache Airflow, Prefect, Dagster, DBT. Expertise in data analysis with exposure to data services (such as Glue, Lake Formation, EMR, EventBridge, Athena, etc.) & metadata management tools (such as Amundsen, Atlas, DataHub, OpenDataDiscovery, Marquez, etc.), Experience on RDBMS like PostgreSQL would be a plus. Experience building modern more »
as Flask). Familiarity with SQL Server and/or PostgreSQL database technologies. Linux experience. Cloud development experience (e.g. AWS). Familiarity with SecDB, Athena or Quartz. Team Player with Excellent Communication Skills. more »
Northamptonshire, England, United Kingdom Hybrid / WFH Options
Capgemini
their I&D Consulting career. What you’ll do and bring: Proficiency in AWS services relevant to data engineering such as S3, Glue, EMR, Athena, and Lambda. Hands-on experience with Snowflake, Redshift cloud data warehousing solutions. Familiarity with DBT (Data Build Tool) for managing transformations in the data more »
Knutsford, England, United Kingdom Hybrid / WFH Options
Capgemini
their I&D Consulting career. What you’ll do and bring: Proficiency in AWS services relevant to data engineering such as S3, Glue, EMR, Athena, and Lambda. Hands-on experience with Snowflake, Redshift cloud data warehousing solutions. Familiarity with DBT (Data Build Tool) for managing transformations in the data more »
cloud technologies. Strong 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. more »
an understanding of Data modelling Principles & best practices and also needs prior experience leading a data engineering team. Key Tech: - AWS (S3, Glue, EMR, Athena, Lambda) - Snowflake, Redshift - DBT (Data Build Tool) - Programming: Python, Scala, Spark, PySpark or Ab Initio - Data pipeline orchestration (Apache Airflow) - Knowledge of SQL This more »
release cycles. Knowledge of Java, Cucumber DynamoDB, Redis and Redshift Cloud: AWS (S3, EC2, Lambda, AWS Glue/Spark, IAM, Cloudwatch, MSK, Managed Airflow, Athena, Kenesis) Experience of writing and taking responsibility for technical documentation. Knowledge and experience of working with Python and Scala Experience: A degree in Computer more »
algorithms and techniques Experience with Large Language Models (fine tuning, RAG, agents) Our technology stack Python PySpark for processing big data AWS: EMR, ECS, Athena, etc. DevOps: Terraform, Docker, Airflow, MLFlow Additional Information Why should you jump on board? We pay special attention to learning and development and organise more »