1 to 25 of 117 Amazon EMR Jobs

latest data analytics technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services, we're hiring highly technical cloud architect specialised in data analytics to collaborate with our customers and partners to derive business value … 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 and … Amazon Quicksight. Solutions - 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 solutions that often More ❯

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 More ❯

various data sources to target destinations using AWS services. Utilize AWS services such as AWS Glue, Amazon Kinesis, and Amazon EMR to build and manage efficient data ingestion and processing workflows. Transform raw data into usable formats, applying programming concepts and best practices to ensure … data quality and consistency. Design and implement effective data models and select appropriate data storage solutions based on business requirements, including Amazon S3, Amazon Redshift, and/or Amazon DynamoDB. Establish and maintain a comprehensive data catalog, documenting data schemas and managing data lifecycles. … minimum of 4 years of professional experience in data engineering or data architecture. At least 2 years of hands-on experience working with Amazon Web Services (AWS). Proven experience in setting up and maintaining ETL pipelines using AWS services like AWS Glue, Amazon Kinesis, and More ❯

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, Amazon Redshift, AWS Lambda, and more to build and optimize data solutions. Data Modeling: Design and implement data models … deliver high-quality data solutions. Automation: Implement automation processes and best practices to streamline data workflows and reduce manual interventions. Must have: AWS, ETL, EMR, GLUE, Spark/Scala, Java, Python. Good to have: Cloudera - Spark, Hive, Impala, HDFS, Informatica PowerCenter, Informatica DQ/DG, Snowflake Erwin. Qualifications: Bachelor More ❯

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). Develop and maintain data quality checks data validation rules and data lineage documentation. Collaborate with data analysts data scientists business stakeholders and product More ❯

Confluence Release management in JIRA Data quality Data Governance Tools and Technologies: ETL Development - Databricks, Apache Spark, SSIS, Azure Data Factory, Talend, AWS Glue, EMR, EC2, Azure Purview, Google Big query Bigdata (including Hadoop/Hive), Data Lake, Azure synapse, AWS S3 SQL - Oracle, SQL Server, spark, Cosmos DB More ❯

in implementing cloud based data solutions using AWS services such as EC2, S3, EKS, Lambda, API Gateway, Glue and bid data tools like Spark, EMR, Hadoop etc. Hands on experience on data profiling, data modeling and data engineering using relational databases like Snowflake, Oracle, SQL Server; ETL tools like More ❯

Amazon Marketing team is working on a platform that will provide real-time insights of traffic, sales, deals, 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 … 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 … HiveQL, SparkSQL, Scala) - Experience with one or more scripting languages (e.g., Python, KornShell) PREFERRED QUALIFICATIONS - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases/data stores (object storage, document or key-value stores, graph More ❯

and database management systems (e.g., MySQL, PostgreSQL, MongoDB). Hands-on experience with AWS services for data processing, storage and analysis (e.g., S3, Redshift, EMR, Glue). Familiarity with programming languages such as Python or Java. Understanding of data warehousing concepts and data modeling techniques. Experience working with big More ❯

Leverage Python to develop robust ETL workflows and data-processing scripts. Architect, deploy, and manage cloud-based data systems on AWS (e.g., S3, Redshift, EMR). Collaborate with product and analytics teams to ensure data availability, quality, and accessibility. Monitor and troubleshoot system performance, ensuring scalability and reliability. Qualifications More ❯

teams to design, build, and maintain large scale data solutions and applications using AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. Your team members will look to you as a trusted expert and will expect you to define the end More ❯

Monitor performance against operational metrics. Manage security and identity with AWS IAM, KMS, Certificate Manager, Secrets Manager. Support AWS analytics solutions in production - AWS EMR, Data Pipeline, RedShift. Handle storage and backup in hybrid cloud environments. Participate in on-call rotation for 24/7 support of production environments. More ❯

Previous experience developing, testing, and deploying data pipelines, data lakes, data warehouses, and data marts using ideally AWS services such as S3, Glue, Athena, EMR, Kinesis, and Lambda. Experience of major operating platforms and their linkage, connectivity functions and issues. Cloud Security - Experience/skills of addressing concept issues More ❯

with technologies such as Python, Java, Scala, Spark, and SQL to extract, clean, transform, and integrate data. Build scalable solutions using AWS services like EMR, Glue, Redshift, Kinesis, Lambda, and DynamoDB. Process large volumes of structured and unstructured data, integrating multiple sources to create efficient data pipelines. Collaborate with More ❯

and database management systems (e.g., MySQL, PostgreSQL, MongoDB). Hands-on experience with AWS services for data processing, storage and analysis (e.g., S3, Redshift, EMR, Glue). Familiarity with programming languages such as Python or Java. Understanding of data warehousing concepts and data modeling techniques. Experience working with big More ❯

Pandas, SQL, and AWS analytics services (Glue, Athena, Redshift) for data profiling, transformation, and validation within data lakes. Solid experience with AWS (S3, Lambda, EMR, ECS/EKS, CloudFormation/Terraform) and understanding of cloud-native architectures and best practices. Advanced skills in automating API and backend testing workflows More ❯

Pandas, SQL, and AWS analytics services (Glue, Athena, Redshift) for data profiling, transformation, and validation within data lakes. Solid experience with AWS (S3, Lambda, EMR, ECS/EKS, CloudFormation/Terraform) and understanding of cloud-native architectures and best practices. Advanced skills in automating API and backend testing workflows More ❯

Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks More ❯

and unstructured data from multiple sources, ensuring efficient data ingestion, transformation, and storage. Develop and optimize data lake and data warehouse solutions using Amazon S3, Redshift, Athena, and Lake Formation. Implement data governance, security, and compliance best practices, including IAM roles, encryption, and access controls. Monitor and optimize … cloud technologies. Proficiency in Python, PySpark, SQL, and AWS Glue for ETL development. Hands-on experience with AWS data services, including Redshift, Athena, Glue, EMR, and Kinesis. Strong knowledge of data modeling, warehousing, and schema design. Experience with event-driven architectures, streaming data, and real-time processing using Kafka More ❯

with big data tools: Hadoop, Spark, etc. Experience with relational SQL and NoSQL databases, including Postgres Experience with AWS cloud or remote services: EC2, EMR, RDS, Redshift Experience with stream-processing systems: Kafka, Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages: Python, Julia, Java More ❯

personnel. (Mandatory) Demonstrated experience with AWS cloud services, including long-term storage options, and cloud-based database services such as Databricks or Elastic MapReduce (EMR). (Mandatory) Demonstrated experience with SQL database structures and mapping between SQL databases. (Mandatory) Demonstrated experience in large-scale data migration efforts. (Mandatory) Demonstrated More ❯

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 - we highly regard collaboration. Knowledge More ❯

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 - we highly regard collaboration. Knowledge More ❯

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 deployment. More ❯

and PySpark Familiarity with Apache Airflow for workflow orchestration Hands-on experience with Apache Spark Working knowledge of AWS data ecosystem (S3, Glue, Athena, EMR, Redshift, etc.) Strong data modeling, transformation, and integration experience Comfortable translating business logic into scalable technical design Bonus Points Experience in regulated environments (finance More ❯