Software Development Engineer - Redshift Team, Query Processing Team, Amazon Redshift. Job ID: 2914572 | Amazon Web Services Development Center Germany GmbH 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: Query Processing team is at the heart of Redshift data plane and is responsible for query analysis, query optimization and massively parallel execution engine. Query Processing team is focused on maintaining AmazonRedshift’s lead on price-performance. Query Processing team delivers extreme performance over RedshiftMore ❯
Amazon Web Services is the market leader and technology forerunner in the Cloud business. As a member of the AWS Support team you will be at the forefront of this transformational technology, assisting a global list of companies and developers that are taking advantage of a growing set of … practices for applications, servers and networks? Do you want to be part of a customer facing technology team helping to ensure the success of Amazon Web Services (AWS) as a leading technology organization? If you fit the description, you might be the person we are looking for! We are … breaking technologies. Apply advanced troubleshooting techniques to provide unique solutions to our customers' individual needs. Interact with leading engineers around the world. Partner with Amazon Web Services teams to help reproduce and resolve customer issues. Leverage your extensive customer support experience to provide feedback to internal AWS teams on 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 ❯
tools (Tableau, Power BI, Looker). Proficiency in Python, R, or Scala for data manipulation and analytics. Experience with cloud-based data solutions (AWS Redshift, Snowflake, BigQuery, Azure Synapse). Familiarity with big data technologies (Apache Spark, Hadoop, Kafka). Understanding of data governance, security, and compliance best practices. More ❯
environment which includes both on premise and Azure data integration solutions. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and data services (e.g., Redshift, BigQuery, Snowflake). Understanding of data security best practices and experience implementing security measures. Excellent problem-solving skills and the ability to work collaboratively 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. More ❯
in working with distributed computing frameworks, such as Apache Spark. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and associated services (e.g., S3, Redshift, BigQuery). Familiarity with data modelling, database systems, and SQL optimisation techniques. Other things we're looking for (key criteria) Knowledge of the UK More ❯
Business Intelligence Engineer, Finance Operations, Global Data & Analytics (GDA) team Job ID: 2898829 | 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 … 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, and engagement and is looking for a 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 a team that … will work with the marketing, retail, finance, analytics, machine learning, and technology teams to provide real-time data processing solutions that give Amazon leadership, marketers, and PMs timely, flexible, and structured access to customer insights. The team will be responsible for building this platform end to end using the 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 ❯
Will work with the product owner on planning activities. You have experience working with Snowflake (ideally) or other cloud-based data warehousing platforms (e.g., AmazonRedshift, Google BigQuery, etc). You have experience with public cloud infrastructure, ideally AWS. Nice to have experience: Data visualization through Tableau (ideally 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 ❯
london, south east england, united kingdom Hybrid / WFH Options
DATAHEAD
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 ❯
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 ❯
Actions, Jenkins). Working with distributed computing frameworks, such as Apache Spark. Cloud platforms (e.g., AWS, Azure, Google Cloud) and associated services (e.g., S3, Redshift, BigQuery). Familiarity with data modelling, database systems, and SQL optimisation techniques. Other things we’re looking for (key criteria) Knowledge of the UK More ❯
Github Actions, Jenkins) Working with distributed computing frameworks, such as Apache Spark Cloud platforms (e.g., AWS, Azure, Google Cloud) and associated services (e.g., S3, Redshift, BigQuery) Familiarity with data modelling, database systems, and SQL optimisation techniques Other things we're looking for (key criteria): Knowledge of the UK broadcast More ❯
Mentor junior engineers and contribute to technical strategy. Requirements: 5+ years of experience in Data Engineering with AWS. Deep expertise in AWS services (Glue, Redshift, Kinesis, S3, Lambda, DynamoDB, etc.). Strong programming skills in Python or Scala , with proficiency in SQL . Experience with Big Data processing (Spark More ❯
london, south east england, united kingdom Hybrid / WFH Options
DATAHEAD
Mentor junior engineers and contribute to technical strategy. Requirements: 5+ years of experience in Data Engineering with AWS. Deep expertise in AWS services (Glue, Redshift, Kinesis, S3, Lambda, DynamoDB, etc.). Strong programming skills in Python or Scala , with proficiency in SQL . Experience with Big Data processing (Spark 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 ❯
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 ❯
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 ❯
