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This qualified individual will support AWS Cloud database services such as Oracle RDS, Aurora PostgreSQL RDS, PostgreSQL RDS, AWS Redshift and on-premises Oracle RAC clusters. AWS RDS (Oracle, PostgreSQL, Aurora PostgreSQL) OR AWS Redshift configuration and operational experience.
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Metadata capture and catalog services for data lake (S3/ Athena), data warehouses (RDS/ Redshift), Microservices/ APIs. Data services layer including Athena, Redshift, RDS, microservices and APIs.
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Solid experience of AWS services such as CloudFormation, S3, Glue, EMR/ Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc. Migrate data from traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift.
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Certifications in AWS DevOps, AWS RDS/DMS, data engineering, data science, automation, or database technologies a plus. Postgres, Oracle, SQL Server, Snowflake, Amazon Relational Database Services (RDS) preferred.
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Experience with AWS cloud services: EC2, EMR, RDS, Redshift, Athena. Experience with AWS cloud services: EC2, EMR, RDS, Redshift, Athena. Experience with GCP cloud services: BigQuery, GCS, Cloud SQL, ML, Pub/Sub, DataProc.
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Strong experience with AWS Infrastructure services (EC2, ELB, RDS, Route53, S3, vpc, vpn, tgw, cloudwatch, cloudtrail, event bridge, etc. Strong experience on AWS Infrastructure services (EC2, ELB, RDS, Route53, S3, vpc, vpn, tgw, cloud watch, cloudtrail, eventbridge, etc.
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Amazon Web Services (Security Groups, Batch, Lambda, SSH, S3, ECS, EC2, ALB, RDS, IAM, SNS, Fargate, ElastiCache, Redis) Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL.
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Migrate data from APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift. Data storage services for data lake (S3)/ data warehouses (RDS/ Redshift)/ data marts and service documentation.
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2+ years of experience with Presto or Snowflake. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI.
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Utilize programming languages like Python and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services. At least 6 years of experience in software engineering (Internship experience does not apply.
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Experience with database management, migration and transformation to cloud native DBs like Cloud SQL, Spanner, AWS Aurora, AWS RDS etc. Working knowledge and skills in cloud container services (e.g. GKE, EKS, AKS), storage services (e.g. EBS), and database services (e.g. RDS); digital or infrastructure deployments that includes managing projects related to highly virtualized solutions, digital convergence, outsourcing or systems integrations, network engineering, and cybersecurity.
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As a Capital One Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Software Engineer.
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2+ years of experience with Airflow. Enterprise Data is hiring a Lead Software Engineer! Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
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Keywords:Boston MA Jobs, Software Manager, UI, User Interface, JavaScript, React, Redux, HTML, CSS, Bootstrap, Java, PHP, Python, AWS, PaaS, SaaS, IaaS, AppSync, Lambda, Cognito, BeanStalk, CloudWatch, CloudMonitor, EC2, S3, VPC, SQL, MySQL, AWS-RDS, DynamoDB, AWS-Elastic Cache, ETL, Data Lakes, AI, Artificial Intelligence, ML, Machine Learning, Data Science, Agile, Waterfall, Work From Home, Remote, Massachusetts Recruiters, Information Technology Jobs, IT Jobs, Massachusetts Recruiting.
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Optimized AWS RDS instances including replication using AWS Database Migration Services (DMS) Ensure monitoring and optimization of Bank’s RDS instances for cost-effectiveness and compliance with Bank standards.
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