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5+ years of hands-on experience in two or more database technologies (e.g., MySQL, PostgreSQL, MongoDB) and data warehouses (e.g., Redshift, BigQuery, or Snowflake), as well as cloud-based data engineering technologies (e.g., Kafka, PubSub, Apache Airflow, Glue.
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Strong skills in languages such as Python, R, SQL or Scala, alongside experience of using modern and traditional data technologies including: ElasticSearch, MongoDB, PostgreSQL, mySQL/mariaDB, Oracle, SQL Server, Hadoop, Kafka, Splunk/ELK or other logging and monitoring tools, BI and Data Warehousing solutions and ETL and migration technologies.
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3+ years of Experience with Apache Spark, Kafka, Pig, Oozie, Flume, and Streaming and similar distributed computing technologies. The Data Architect ensures tight alignment and collaboration with technology and business teams, taking ownership for essential data strategy decisions.
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Hands on AWS experience in EKS, ECS, AWS Lambda, Terraform, AWS Aurora Postgres, AWS logging and monitoring using Datadog, AWS Security groups, AWS MSK(Kafka) AWS Developer or Solution Architect certification preferred.
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Prior experience with data engineering tools and frameworks like Airflow, Kafka, Hadoop, Spark, Kubernetes. Design, Architect, Deploy, and maintain solutions on AWS and Databricks to provide secure and governed access to data for data scientist, data analysts and business users.
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Experience with EDA (Event Driven Architecture) and platforms such as Kafka, Azure Integration Services, Confluent, Solace etc. The Lead Integration Domain Architect is part of the Architecture, Experience, Digital Platforms & Strategy organization within Digital Technology and is responsible for leading the design of Digital Integration solutions and the optimal information flow between systems across the enterprise.
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Experience with Agile, SCRUM, JIRA, Confluence, Kafka. FHIR, CCD-A, HL7, JSON, APIs (build and consume), Kafka. Cloud certifications in fundamentals, administration, or solutions architect (Azure, AWS, GCP) preferred.
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Experience with high speed distributed computing frameworks like FLINK, Apache Spark, Kafka Streams, etc. AWS Certified Solutions Architect – Associate Level is a plus. Experience with distributed message brokers Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc.
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AWS Solutions Architect or AWS DevOps Engineer certification. Experience configuring and/or utilizing monitoring/logging solutions for operations such as Cloud Watch, AppDynamics, Nagios, Collectd, logstash, or Kafka.
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3+ years of hands-on experience in AWS and Big Data technologies such as S3, Lambda, LakeFormation, DMS, Kinesis, Kafka, Redshift, RDS, Aurora, Neptune, DynamoDB, ECS, Glue, DataBrew, Python, R-Studio, SageMaker, Spark/SparkSQL, Eventbridge, as well as programming in Python, Java, Spark, SQL, Unix shell/Perl scripting, etc.
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Big Data Development experience using Spark, Databricks, Impala, and familiarity with Kafka (Preferred); Familiarity with the Linux operating system (Preferred); Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.
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As a Senior Solution Architect for IMT - Back Office, you will serve as the GSTA (Global Strategy Technology and Architecture) senior solutions architect for Investment Operations Middle and Back Office domains and provide guidance to all embedded Architects that work across this complex but rewarding area of Investment Management Technologies.
$140,995 - $225,592 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in Apache Airflow, ECS/EKS,Kafka, Docker, Terraform, and disaster recovery strategies. As a AWS Data Architect,you will beresponsible for leading a team of data engineers in the development andmaintenance of scalable data pipelines and implementing solutions in graphdatabases and machine learning.
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Java 8, Spring boot, Python, PyCharm, Intellij, NodeJS, NPM, VSCode, ExpressJS, Microservices, PCF, AWS EC2, Glue, AWS Lambda, Step Functions, EKS, VPC, CloudWatch, S3, SQS, SNS Apache Kafka, Kubernetes, NodeJS, Gitlab, Jenkins, Grafana, Prometheus, Hadoop, Spark, Hive, Sqoop, Terraform.
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Strong experience of event streaming platforms like Kafka, Kafka Connect, ksql. Job Title: Data Architect. Deep experience building data pipelines leveraging Spark (Azure Databricks or Apache Spark), Airflow.
$165,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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