1 to 25 of 36 Amazon Athena Jobs

Job ID: Amazon Web Services Australia Pty Ltd Are you a Senior Data Analytics and GenAI consulting specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you have senior stakeholder engagement experience to support pre-sales and deliver consulting engagements? Do you like to solve … Vetting Agency clearance (see ). 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, Amazon Redshift, Amazon Athena, AWS Lake Formation … Amazon DataZone, Amazon SageMaker, Amazon Quicksight and Amazon Bedrock. Solutions: Support pre-sales and 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 of AWS services to support new distributed computing More ❯

workload management Expert SQL knowledge and experience working with a variety of databases Experience using the following software/tools: Big Data tools: e.g. Hadoop, Spark, Kafka, ElasticSearch AWS: Athena, RDB, AWS credentials from Cloud Practitioner to Solutions Architect Data Lakes: e.g. Delta Lake, Apache Hudi, Apache Iceberg Distributed SQL interfaces: e.g. Apache Hive, Presto/Trino, Spark Data More ❯

Hands-on experience with cloud platforms (preferably AWS or Snowflake) and ETL/ELT orchestration tools (e.g. Airflow, dbt). Desirable Skills Familiarity with tools such as MongoDB , Glue , Athena , and React . Experience in API development and working with modern data infrastructure. Ability to work independently, solve complex problems, and contribute ideas proactively. Working Environment Hybrid working model More ❯

Hands-on experience with cloud platforms (preferably AWS or Snowflake) and ETL/ELT orchestration tools (e.g. Airflow, dbt). Desirable Skills Familiarity with tools such as MongoDB , Glue , Athena , and React . Experience in API development and working with modern data infrastructure. Ability to work independently, solve complex problems, and contribute ideas proactively. Working Environment Hybrid working model More ❯

Drive innovation through advanced analytics and research-based problem solving. To be successful you should have: 10 years hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security. Proficiency in More ❯

Drive innovation through advanced analytics and research-based problem solving. To be successful you should have: 10 years hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security. Proficiency in More ❯

and PySpark for data processing and automation. Strong command of SQL for data querying, transformation, and performance tuning. Deep experience with cloud platforms , preferably AWS (e.g., S3, Glue, Redshift, Athena, EMR, Lambda). Experience with Azure or GCP is a plus. Experience building and managing data lakes and data warehouses. Strong understanding of distributed systems and big data processing. More ❯

and PySpark for data processing and automation. Strong command of SQL for data querying, transformation, and performance tuning. Deep experience with cloud platforms , preferably AWS (e.g., S3, Glue, Redshift, Athena, EMR, Lambda). Experience with Azure or GCP is a plus. Experience building and managing data lakes and data warehouses. Strong understanding of distributed systems and big data processing. More ❯

and PySpark for data processing and automation. Strong command of SQL for data querying, transformation, and performance tuning. Deep experience with cloud platforms , preferably AWS (e.g., S3, Glue, Redshift, Athena, EMR, Lambda). Experience with Azure or GCP is a plus. Experience building and managing data lakes and data warehouses. Strong understanding of distributed systems and big data processing. More ❯

concepts, tools, and programming languages (e.g., SQL, Python, and Cloud Platforms). Looking for someone who has a strong understanding of AWS Cloud Analytical Services such as S3, Glue, Athena, Lambda, and CloudWatch. Looking for someone who has experience with Infrastructure as Code (IaC) and Terraform. Looking for someone who has an eagerness to learn and apply modern data More ❯

helping to establish telemetry standards, efficient usage patterns, and scalable platform abstractions. Ability to make forward-looking technical decisions and lead others through ambiguity. Familiarity with ClickHouse, Grafana Loki, Athena, or equivalent systems for log and metrics querying. Contributions to open-source observability tools or communities. Experience building cost visibility or FinOps tooling for cloud compute and telemetry pipelines. More ❯

Responsibilities Proven experience as a Data Architect or Lead Data Engineer in AWS environments Deep understanding of cloud-native data services: S3, Redshift, Glue, Athena, EMR, Kinesis, Lambda Strong hands-on expertise in data modelling, distributed systems, and pipeline orchestration (Airflow, Step Functions) Background in energy, trading, or financial markets is a strong plus Excellent knowledge of Python, SQL More ❯

Proven experience as a Data Architect or Lead Data Engineer in AWS environments* Deep understanding of cloud-native data services: S3, Redshift, Glue, Athena, EMR, Kinesis, Lambda* Strong hands-on expertise in data modelling, distributed systems, and pipeline orchestration (Airflow, Step Functions)* Background in energy, trading, or financial markets is a strong plus* Excellent knowledge of Python, SQL, and More ❯

Junction, MD • Two days of telework Required Technical Expertise: • Proficiency in modern Java (17+) • Quarkus/Spring Boot • Maven • Git/Gitlab Nice to Have: • AWS (RDS, Redshift, Fargate, Athena, Glue, Lambda) • AWS Certified Cloud Practitioner Certification • Gitlab CI/CD • Playwright • Terraform/OpenTofu Company Benefits: • Highly competitive salaries • 20 days of PTO plus your birthday • 12 Federal More ❯

data sets. Collaborate with data scientists to deploy machine learning models. Contribute to strategy, planning, and continuous improvement. Required Experience: Hands-on experience with AWS data tools: Glue, PySpark, Athena, Iceberg, Lake Formation. Strong Python and SQL skills for data processing and analysis. Deep understanding of data governance, quality, and security. Knowledge of market data and its business applications. More ❯

privilege access. Governance: Data models, metadata, documentation, and standards. Collaboration: Work closely with global colleagues; communicate designs clearly. Requirements AWS data stack, hands on experience: Glue, Airflow/MWAA, Athena, Redshift, RDS, S3. Strong coding skills in Python & PySpark/Pandas & SQL. CI/CD automation: AWS CodePipeline, CloudFormation (infrastructure as code). Architect-level experience: At least More ❯

data sets. Collaborate with data scientists to deploy machine learning models. Contribute to strategy, planning, and continuous improvement. Required Experience: Hands-on experience with AWS data tools: Glue, PySpark, Athena, Iceberg, Lake Formation. Strong Python and SQL skills for data processing and analysis. Deep understanding of data governance, quality, and security. Knowledge of market data and its business applications. More ❯

desirable. Experience with Python for data analysis, ETL and automation. Experience working with large and complex data sets, data profiling and cleansing. Experience with AWS, in particular, Lambda, S3, Athena, or equivalent cloud technologies. Experience with Git. Strong written and verbal communication skills and experience engaging effectively with technical and non-technical stakeholders at all levels Demonstrate curiosity and More ❯

sources. Document test results and provide detailed reports on data quality findings. Required Skills and Experience: Proven experience with AWS services such as EMR, Lambda, Redshift, Firehose, S3, Iceberg, Athena, and DynamoDB. Strong understanding of data ingestion, parsing, aggregation, and schema validation processes. Proficiency in SQL for data querying and validation. Experience with Python for scripting and automation. Familiarity More ❯

engage with clients, learn domain knowledge, be proactive and curious in addition to standard tech would be ideal for the role. Tech Stack: AWS - S3 for storage, Lambda functions, Athena (thus strong SQL), Glue, Glue Data Catalog Python Current frontend is Tableau but experience with any of them will be interchangeable DevOps experience a bonus e.g. Terraform, Drone, Kubernetes More ❯

access Experience working in Agile Scrum environments Experience with CI/CD pipelines, version control such as GitLab, and DevOps practices Experience with AWS Data Stack, including S3, Glue, Athena, and Lake Formation Knowledge of Terraform and CloudFormation, or IAC tools Ability to work independently and in teams Secret clearance Bachelor's degree Security+ Certification Additional Qualifications: Possession of More ❯

communication skills. Desired Skills/Experience: AWS Certified Solutions Architect - Associate or Professional. Experience with Infrastructure as Code (Terraform, Ansible, or similar). Familiarity with data analytics platforms (Redshift, Athena, or similar). Experience supporting federal government or law enforcement IT systems. This position requires five days a week on site at customer location in Washington DC. Application deadline More ❯

Top Secret clearance Desired Skills: Two or more of the below: - Design, build, and maintain AWS infrastructure including but not limited to EC2, Lambdas, S3, SNS, SQS, Event Router, Athena, and Step Functions using Terraform - Understanding of AWS networking principles to include VPCs, NATs, IP Gateway. - Develop and manage Gitlab CI/CD pipelines to automate deployment processes - Collaborate More ❯

developing data product roadmaps, including defining and prioritizing backlog items for data ingestion, transformation, and analytics. 4. Three years of experience overseeing AWS data solutions, ensuring effective use of Athena for querying, EC2 for computing, S3 for scalable storage, and Glue for ETL processing to support data-driven decision-making and product strategy. 5. One year of experience overseeing More ❯

Job Details ETL Data Engineer Tech Stack & Core Skills:Advanced SQL (Big Data focused)Data Visualization (preferably Tableau)AWS (EMR, Lambda, S3, Step Functions, Athena )ETL Data EngineeringData AnalysisHeavyAI Soft Skills:Effective CommunicationAnalysis PresentationSelf-starterCuriousGrowth MindsetCollaboration Additional Preferences:PythonpySparkData ModelingStatistical Analysis We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or More ❯