26 to 50 of 102 Amazon Athena Jobs

stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for More ❯

warehouse and lakehouse solutions for analytics, reporting, and machine learning. Implement ETL/ELT processes using tools such as Apache Airflow, AWS Glue, and Amazon Athena . Work with cloud-native technologies to support scalable, serverless architectures. Collaborate with data science teams to streamline feature engineering and model … Expertise in Snowflake and modern data architectures. Experience designing and managing data pipelines, ETL, and ELT workflows . Knowledge of AWS services such as Athena, Glue, and EMR. Experience working closely with data scientists and ML engineers . Strong problem-solving skills and ability to work independently. Whats on More ❯

Engineering colleagues. What you'll need Required: Experience designing and building high throughput, scalable, resilient, and secure data pipelines. Experience with AWS technologies: Glue, Athena, S3, Step Functions, Lambda, RDS (Aurora Postgres), DMS, Redshift, QuickSight, Kinesis Firehose. Expert knowledge of SQL. Hands-on experience with Kafka. Hands-on experience More ❯

defend the company's competitive advantage. Be excited; and enjoy! Nice to have Experience programming in Java MongoDB, MySQL, etc. AWS Cloud Formation, RDS, Athena, EC2 Azure, Microsoft SQL Server, etc. Other file formats: OCR, AVRO. Agile, Jira, Confluence, Bitbucket, Git, Sonar. Data Quality Control Linux shell scripts, notions More ❯

of experience in data engineering with a focus on AWS services Strong experience with AWS services such as S3, Glue, Lambda, Redshift, DynamoDB, and Athena Proficiency in programming languages such as Python, Java, or Scala Experience with SQL and NoSQL databases Familiarity with data warehousing concepts, ETL processes, and More ❯

services in production. Exposure to some of the following technologies (or equivalent): Apache Spark, AWS Redshift, AWS S3, Cassandra (and other NoSQL systems), AWS Athena, Apache Kafka, Apache Flink, AWS and service oriented architecture. What you'll get: Full responsibility for projects from day one, a collaborative team, and More ❯

jobs Applying AI and data analytics to large datasets Working with big data tools like Apache Spark and AWS technologies such as Elastic MapReduce, Athena and Lambda Please contact Edward Laing here at ISR Recruitment to learn more about our client and how they are leading the way in More ❯

AWS best Practises. Establish Cloud Governance policies and procedures. Work closely with Data Team on required platform integrations using data analytics tools like Redshift, Athena and Glue. Work closely with Technical Architects on Low Level designs and implementations in line with the companies policies. Work closely with the applications More ❯

AWS best Practises. Establish Cloud Governance policies and procedures. Work closely with Data Team on required platform integrations using data analytics tools like Redshift, Athena and Glue. Work closely with Technical Architects on Low Level designs and implementations in line with the companies policies. Work closely with the applications More ❯

such as Kafka, NoSQL, Airflow, TensorFlow, or Spark. Finally, experience with cloud platforms like AWS or Azure, including data services such as Apache Airflow, Athena, or SageMaker, is essential for the Mid-level. The Role: Build and maintain scalable data pipelines. Design/implement optimised data architecture. Develop ETL More ❯

automation. Required skills: 5+ years of hands-on experience in data engineering with Python and SQL. 3+ years of experience with AWS (Glue, S3, Athena, Lambda, DataZone) Strong experience with Airflow and Spark Drive the design and implementation of data warehouse and data lakes. Proficient in code versioning (git More ❯

automation. Required skills: 5+ years of hands-on experience in data engineering with Python and SQL. 3+ years of experience with AWS (Glue, S3, Athena, Lambda, DataZone) Strong experience with Airflow and Spark Drive the design and implementation of data warehouse and data lakes. Proficient in code versioning (git More ❯

pipelines and doing transformation and ingestion in a a certain tech suite. Extensive experience in implementing solutions around the AWS cloud environment (S3, Snowflake, Athena, Glue), In depth understanding of database structure principles, Strong knowledge of database structure systems and data mining, Excellent understanding of Data Modelling (ERwin, PowerDesigner More ❯

and identify future opportunities for leveraging AWS services and implement effective metrics and monitoring processes. Your Skills and Experience Experience of AWS tools (e.g. Athena, Redshift, Glue, EMR), Java, Scala, Python, Spark. Experience of developing enterprise grade ETL/ELT data pipelines and demonstrable knowledge of applying Data Engineering More ❯

and external data delivery. Familiarity with one or more of the following would also be beneficial: Scala AWS services like Kinesis, RDS, Elasticache, S3, Athena, Data pipeline, Glue, Lambda, EMR, Spark, EC2, ECS, CloudWatch or Elastic Beanstalk Jenkins or similar tools would also be a plus. A team player More ❯

internal and external data delivery. Familiarity one or more of the following would also be beneficial : Scala AWS services like Kinesis, RDS, Elasticache, S3, Athena, Data pipeline, Glue, Lambda, EMR, Spark, EC2, ECS, CloudWatch or Elastic Beanstalk Jenkins or similar tools would also be a plus A team player More ❯

integrating and automating business workflows, including data-driven processes and system integrations. Familiarity with analytics platforms and tools such as GCP (BigQuery), AWS (Glue, Athena), or Azure Databricks. Proficiency in Python or .NET, with experience in both or the ability to quickly learn new technologies. Experience with front-end More ❯

integrating and automating business workflows, including data-driven processes and system integrations. Familiarity with analytics platforms and tools such as GCP (BigQuery), AWS (Glue, Athena), or Azure Databricks. Proficiency in Python or .NET, with experience in both or the ability to quickly learn new technologies. Experience with front-end More ❯

Computer Engineering or related field. Experience in containerization - Docker/Kubernetes. Experience in AWS cloud and services (S3, Lambda, Aurora, ECS, EKS, SageMaker, Bedrock, Athena, Secrets Manager, Certificate Manager etc.) Proven DevOps/MLOps experience provisioning and maintaining infrastructure leveraging some of the following: Terraform, Ansible, AWS CDK, CloudFormation. More ❯

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 engineering tools More ❯

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 engineering tools More ❯

services in production. Exposure to some of the following technologies (or equivalent): Apache Spark, AWS Redshift, AWS S3, Cassandra (and other NoSQL systems), AWS Athena, Apache Kafka, Apache Flink, AWS, and service-oriented architecture. What you'll get: Full responsibility for projects from day one, a collaborative team, and More ❯

in cyber insurance or cyber security. Prior experience or willingness to learn how to work with large datasets and big data technologies (Snowflake, AWS Athena) 100% medical coverage, including out-patient care Life insurance 25+ paid holidays Annual home office stipend Mental and physical health wellness programs like Headspace More ❯

financial services regulations (PCI DSS, FCA, GDPR). Database & Data Services: Expertise in how data services connect, function and integrate within AWS, such as Athena, Redshift and Aurora. AWS Contact Platform Services: Hands-on experience with AWS Connect and related services such as Lens and Kinect. Coding & Automation: Proficiency More ❯

financial services regulations (PCI DSS, FCA, GDPR). Database & Data Services: Expertise in how data services connect, function and integrate within AWS, such as Athena, Redshift and Aurora. AWS Contact Platform Services: Hands-on experience with AWS Connect and related services such as Lens and Kinect. Coding & Automation: Proficiency More ❯