that address complex business requirements and drive decision-making. Your skills and experience Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR, Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS, and AWS Step Functions. Programming Skills: Strong experience … and Scala. Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop. Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both More ❯
Software Development Engineer I 2025, Redshift Job ID: 2850010 | Amazon.com Services LLC AmazonRedshift is the world’s most popular fully managed cloud data warehouse. Tens of thousands of enterprise customers use Redshift to crunch through exabytes of data in the cloud to make business critical … decisions every day. To stay ahead in such a mission critical setting, at Redshift, we must always re-invent ourselves for customers. We are always looking for the innovative engineers to help shape the future of Redshift. About the team Distributed data management is at the heart of AmazonRedshift data analytics services and is responsible for delivering ultra-fast and highly scalable performance. We are building and operating large scale, distributed, fault-tolerant data and transaction management solutions using specialized data structures, distributed consensus algorithms and many other advanced technologies. We are working with AWS platform More ❯
Business Analyst II, Global Data Analytics At Amazon, our goal is to be earth's most customer-centric company and to create a safe environment for both our Customers and our associates. If you'd like to help us build the place to find and buy anything online, this … and driven by a desire to innovate in this space. Responsibilities Creating automated reports and dashboards with a combination of BI tools such as Amazon Quicksight, Tableau. Partnering with program team, Legal, and Tech stakeholders to understand challenges and provide analysis to help drive program success. Providing data support … insights. Experience with SQL. Experience making business recommendations and influencing stakeholders. PREFERRED QUALIFICATIONS Experience working with data visualization tools like Tableau, Power BI or Amazon Quicksight. Experience managing multiple projects delivery simultaneously. Familiarity with AWS tools like S3, AmazonRedshift, AWS Glue, Amazon Athena, AWS Sagemaker More ❯
dashboards to adapt to evolving business needs. Ensure data accuracy, relevance, and optimal pipeline performance. Data Integration and Management : Utilize AWS services such as Amazon S3, AWS Glue, and AmazonRedshift to extract, transform, and load (ETL) data from various sources. Design and implement robust data transformation … or a related field. Strong proficiency in SQL for data querying, data transformation and manipulation, and Python. Experience working with data visualization tools, specifically Amazon QuickSight. Strong analytical and problem-solving skills, as well as attention to detail. Self-motivated and able to work independently, in a team-oriented … depth experience working with various data sources, databases and data integration, with large datasets and design efficient data models for data visualization tools, specifically Amazon QuickSight. What Will Give You A Competitive Edge (Preferred Qualifications): Experience with statistical/machine learning techniques is a strong plus. Creative mindset with More ❯
of experience in data engineering, with at least 2 years in a leadership or management role. Strong experience with data warehousing solutions (e.g., AWS Redshift, Google BigQuery, Snowflake). Expertise in data pipeline development, ETL tools, and frameworks (e.g., Apache Airflow, Talend, Fivetran). Proficiency in SQL and experience 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). Troubleshoot and resolve complex data quality issues, performance bottlenecks, and production incidents. Develop and maintain CI/CD pipelines for data 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 ❯
Business Intelligence Engineer, Finance Operations, Global Data & Analytics (GDA) team Job ID: Amazon/Slovakia/s.r.o. The Business Intelligence Engineer will be a part of the high-visibility, growth-oriented, and dynamic Finance Operations, Global Data & Analytics (GDA) team. The GDA team is seeking an exceptionally talented and … Account Payables and Receivables teams to operate at scale and resolve process defects. The role will navigate ambiguity to rapidly build their knowledge of Amazon's "Order to Cash" and "Procure to Pay" processes (and their accompanying data sets) to become a trusted analytics partner for our 2,000+ … organize data pipelines into the visualization environment Collaborate with business users on requirements, objectives, and measures Access and use analytical tools (various databases on Amazon's data, SQL) Provide input and recommendations on technical issues to the data engineering team Review technical work of other team members and provide More ❯
Amazon Marketing team is working on a platform that will provide real time insights of traffic, sales, deals, engagement and is looking for 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 team that will work with … the marketing, retail, finance, analytics, machine learning and technology teams to provide real time data processing solution that give Amazon leadership, marketers, PMs timely, flexible and structured access to customer insights. The team will be responsible for building this platform end to end using latest AWS technologies and software More ❯
Engineering with AWS. Strong skills in Python or Scala and experience with SQL databases . Hands-on experience with AWS services (S3, Lambda, Glue, Redshift, Athena, etc.). Knowledge of data modelling, pipeline orchestration (Airflow) , and cloud infrastructure (IaC – Terraform, CloudFormation). Experience working in financial services or FinTech More ❯
throughput, scalable, resilient and secure data pipelines. Experience with the following AWS technologies: Glue jobs, 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 with Terraform. Hands-on experience of Python with a More ❯
platforms (AWS, GCP, Azure) and related tools (e.g., Kubernetes, Terraform, CloudFormation). Experience with modern data platforms, including data lakes, data warehouses (e.g., Snowflake, Redshift, BigQuery), and real-time data processing. Proficiency in data modeling, ETL/ELT pipelines, and data integration tools. Strong understanding of security, compliance, and More ❯
Experience working with a modern data analytics stack Excellent communication and stakeholder management skills Nice to have Familiarity with the AWS environment (S3, Athena, Redshift) Experience with Python (Airflow, dbt, pySpark, Pandas) Experience with Snowflake Experience with Thoughtspot Familiarity with the command line Some understanding of Kafka Master's More ❯
teach - collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Databases - RDS/Aurora/DynamoDB/Redshift, Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), AWS Identity and … 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 … Oracle, HP, SAP etc. Direct people management experience leading a team of at least 20 or manager of manager experience in a consulting practice. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race More ❯
Business Intelligence Engineer, Amazon Last Mile Come help Amazon create cutting-edge data and science-driven technologies for delivering packages to the doorstep of our customers! The Last Mile Routing & Planning organization builds the software, algorithms, and tools that make the “magic” of home delivery happen: our flow … decisions needed to plan and execute safe, efficient, and frustration-free routes for drivers around the world. Our team supports deliveries (and pickups!) for Amazon Logistics, Prime Now, Amazon Flex, Amazon Fresh, Lockers, and other new initiatives. As part of the Last Mile Science & Technology organization, you … ll partner closely with Product Managers, Data Scientists, and Software Engineers to drive improvements in Amazon's Last Mile delivery network. You will leverage data and analytics to generate insights that accelerate the scale, efficiency, and quality of the routes we build for our drivers through our end-to 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 ❯
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 ❯
e.g., Apache Spark, Airflow, dbt). Hands-on experience with cloud-based data solutions (e.g., AWS, GCP, Azure) and data warehouses (e.g., BigQuery, Snowflake, Redshift). In-depth knowledge of SEO metrics, search algorithms, and technical SEO principles. Experience working with APIs from Google Search Console, Google Analytics, SEMrush More ❯
data ingestion (both batch and streaming), CI/CD tooling (e.g. Azure DevOps, Terraform etc.) and interrogation with databases such as SQL Server, Oracle, Redshift etc. Experience developing solutions on any major cloud platform: Azure, AWS or GCP Experience with reporting tools such as Power BI, Tableau, Qlik etc. More ❯
data analysis, machine learning, and data visualization. In-depth knowledge of cloud platforms (AWS, Azure, Google Cloud) and related data services (e.g., S3, BigQuery, Redshift, Data Lakes). Expertise in SQL for querying large datasets and optimizing performance. Experience working with big data technologies such as Hadoop, Apache Spark More ❯
london, south east england, united kingdom Hybrid / WFH Options
Careerwise
data analysis, machine learning, and data visualization. In-depth knowledge of cloud platforms (AWS, Azure, Google Cloud) and related data services (e.g., S3, BigQuery, Redshift, Data Lakes). Expertise in SQL for querying large datasets and optimizing performance. Experience working with big data technologies such as Hadoop, Apache Spark More ❯
Data Scientist/Business Intelligence Engineer, EU Prime and Marketing Science & Analytics Job ID: 2933270 | Amazon Development Center (Netherlands) B.V. The position can be based in Amsterdam or London. Are you passionate about giving customers the richest, most inspiring experience in their shopping journey? Do you like to dive More ❯
in building data virtualisation layers and data semantic layers. Strong knowledge of relational databases (MySQL, PostgreSQL), experience with data warehousing concepts and tools (Snowflake, Redshift), data lakes and data lakehouses. Familiarity with distributed computing frameworks like Apache Hadoop, Apache Spark, and NoSQL databases (such as MongoDB, Cassandra). An More ❯
technologies (e.g., Hadoop, Spark, Kafka). Proficiency in cloud platforms such as AWS, Azure, or Google Cloud, and cloud-based data services (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery). Experience with DataOps practices and tools, including CI/CD for data pipelines. Excellent leadership, communication, and interpersonal More ❯
