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At least 2 years experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) At least 2 years of experience with distributed database systems (Cassandra, ElasticSearch, or Kafka.
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Strong understanding of distributed stateful applications (Cassandra, Elasticsearch, Kafka) Utilize scripting languages like Python, SQL, Ruby and groovy, Container Orchestration services including Docker and ECS, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Strong experience with Spark, Hive, Pig, Flume, Sqoop, Kafka, Amazon RDS, Amazon Redshift, GCP. Participates in the implementation of solutions via data architecture, data engineering, or data manipulation on both on-prem platforms like Kubernetes and Teradata as well as Cloud platforms like Databricks.
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Minimum of 5 years' experience with automated delivery pipelines, agile delivery, and test-driven development and real-time data processing (e.g., Kafka, Spark Streaming). Minimum of 5 years of hands-on skills in Python, Apache Spark, Hive, Cassandra, Snowflake, Elastic, Lucene, DataBricks, Hadoop, Redshift, Scala, Java, or other relevant technologies in data engineering.
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2+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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2+ years of experience with coding and scripting in Powershell and SQL (or other languages including Python, Java, JavaScript, Golang, Bash, Perl or Ruby) 2+ years of experience with coding and scripting in Powershell and SQL (or other languages including Python, Java, JavaScript, Golang, Bash, Perl or Ruby.
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4+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) 4+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby.
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This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). At least 2 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform.
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Knowledge of streaming data processing frameworks (e.g., Apache Flink, Apache Kafka Streams). Knowledge of data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake). Proficiency in programming languages such as Python, Java, or Scala for data engineering and software development.
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Experience with data integration tools and technologies such as Azure Data Factory, Python, Apache Kafka. 7+ years of experience as a Data Engineer, Data Architect, or similar role, with a focus on designing and implementing data solutions using Snowflake.
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Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR. Database: SQL Server, PostgreSQL,Snowflake,Redshift, Aurora,Presto,BigQuery,Oracle. PopularCertifications: AWS Cloud Practitioner,Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer.
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In this role, you will have the opportunity to make a lasting impact on the digital transformation journey, drive customer-centric innovation, and the ideal candidate will have a background of running transformation projects in similar disruptive industries such as Digital Payments or Fintech.
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Experience with Couch Base, Redis, Kafka, Spark,Casandra, Concourse, Mango dB, Grafana, Prometheus, html, Java. Experience in Shell Scripting, Ansible , Puppet, Python, Jenkins, GIT, Docker, Kubernetes, Puppet.
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Market-relevant, complementary technologies e.g. Apache Kafka, Kubernetes. Other Tools and connectors - Ops/Cloud Manager, Compass, Connector for BI, Connector for Spark. Modern and popular architecture design patterns, methodologies and concerns e.g. microservices, event-driven architectures, DevOps, cloud, security.
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AWS DevOps 8+ years with Kubernetes, Kafka, VPC, API Gateways, Amazon RDS & Jenkins skillset. AWS DevOps 8+ years with Kubernetes, Kafka, VPC, API Gateways, Amazon RDS & Jenkins skillset. Job Title: AWS DevOps Engineer.
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