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Analytics - Athena, OpenSearch, Quick insight, Data lake concepts. Experience in several of the following areas in AWS : database , ETL, business intelligence, big data. Kubernetes - control plane, cluster, node, pods, service, basic yml how to define container in pods, namespace.
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Some hands-on developing with on-prem ETL tooling (Ab Initio preferred, Informatica) Experience w/ AWS services such as Lambda, EMR, SNS/SQS, Event Bridge, Lake Formation & Athena. 2+ Years Developing AWS Glue ETL.
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AWS: S3, Step functions, Lambda, RDS, EMR, Athena/Glue. Orchestration and ETL frameworks (e.g., Apache Airflow, FiveTran, Pyspark , Autosys ). Engineers in T. Rowe Price’s Distribution & Marketing Services organization are playing a key role in helping build the future of financial services, working hand-in-hand with business partners to build client experiences that are changing the way people invest.
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Experience with AWS services: EC2, S3, EMR, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, and design patterns (Containers, Serverless, Docker, etc. 5+ Experience architecting and building ETL pipelines; Hands-on experience with SQL.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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AWS experience including Kafka, Lambda, Glue, Athena, IAM. Experience participating in ETL and ML pipeline projects based on Airflow, Kubeflow, Mleap, Sagemaker or similar. Experience in large scale data management formats and frameworks such as Parquet ORC, Databricks / Delta Lake, Iceberg or Hudi.
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Strong experience with AWS services such as Lambda, S3 buckets, Athena, and RedShift with Spectrum. Designing and developing data pipelines using AWS Lambda, S3 buckets, Athena, Aurora and RedShift with Spectrum.
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AWS services including CloudFormation, Lambda, API Gateway, S3, DynamoDB/ any NoSQL, Relational Database Service (RDS), Glue Catalog, Crawler, Glue ETL job, Athena and QuickSight for data management and analysis.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Design Data Lake and load the data to Data Lake using ETL and PYSPARK-Work with AWS- EC2, VPC, EBS, Athena, Aurora, RDS, DMS, EMR, S3, Redshift. Migrate SPOTFIRE reports to Power BI. Have experience with Power BI. TECHNICAL SKILLS -ETL Stack: Informatica CAI, B2B Data Exchange, IDQ/BDQ, Power Center, MDM, BDM/DEI, SAP BODS, MS- SSIS, AWS Glue, AWS DataBrew.
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Data pipeline , ingest, transform, and deliver using S3, Glue, RDS, Redshift, Athena, Lambda. Knowledge Implementing ETL / ELT for data solutions - CDC, Data Modeling, Data Governance. Data pipeline , ingest, transform, and deliver using S3, Glue, RDS, Redshift, Athena, Lambda.
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Experience with Key AWS services/components: EMR , Lambda, Glue ETL, Step Functions, s3,ECS, IAM, RDS PostgreSQL, CloudWatch Events/Event Bridge, Athena, SNS, SQS, VPC. Writes ETL (Extract / Transform / Load) processes.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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8+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake or Databricks for Data Engineering or Machine Learning workloads. Familiarity with AWS Services not limited to Glue, Athena, Lambda, S3, and DynamoDB.
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The candidate should have strong programming skills, proficiency in SQL and scripting languages, and experience with AWS data services such as S3, Glue, Redshift, and Athena. Responsibilities include designing, developing, and maintaining ETL pipelines, implementing data integration solutions on AWS cloud services, and optimizing data processing workflows.
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Learn how to develop scripts using AWS Lambda, Python to monitor and control cost for the cloud native services (e.g., compute instances (AWS EC2), database services [RedShift, Athena, Arura], Data processing engines [EMR, AWS DMS, HUDI] ) Exposure Data Integration Techniques: Work with Data Engineers and Solution Architects to gain knowledge about ETL processes (Extract, Transform, Load) and learn how to apply Devops for ETL pipeline.
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Designing enterprise data platforms on cloud (Azure/AWS/GCP) including services like ETL pipelines, Data Modeling, Visualization, Data Governance, RDM/MDM, etc. Proven work experience as a Data Solution Architect or similar role in building data architecture, Data models, Pipeline using AWS services (S3, Lambda, Glue, Athena, QuickSight, etc.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Support and enhance existing analytical products based on current technologies such as Tableau and Oracle Business Intelligence Enterprise Edition (OBIEE) / Oracle Analytics Server (OAS), and to support and leverage any future technologies but not limited other visualization tools or any other data query tools such as AWS Athena, AWS Redshift Spectrum as part of our modernization.
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