Lorven Technologies Inc.

Lorven Technologies Inc.

Data Engineer - New York, NY (Onsite) - Contract - Lorven Technologies Inc

New York, New York, USA · contract, third party

Sponsorship not specifiedDetected 42 days ago
PythonJavaScalaGitSQLNoSQLDynamoDBBigQuerySnowflakeRedshiftAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDJenkinsDevOpsKafkaSparkdbtData EngineeringProject Management

About the role

  • Job Title: Data Engineer Location: New York, NY (Onsite) Duration: Long Term Must Have Skills: Languages & Scripting: Spark, Python, Java, Scala, Hive, Kafka, SQL Cloud Platforms: AWS Data Warehousing & Analytics: Redshift or Snowflake or Big Query Data Integration & ETL: AWS Glue, Aws EMR, Spark, Data Bricks CI/CD: AWS Code Pipeline, Jenkins,
  • CloudFormation, Docker, Kubernetes Job Description: Bachelor's degree in Computer science or equivalent, with minimum 12+ Years of relevant Experience. Extensive experience utilizing Google Cloud Platform (Google Cloud Platform) services, including BigQuery, Dataflow, Data prep, and Pub/Sub, for data engineering solutions. Proficient in building and

Requirements

  • Bachelor's degree in Computer science or equivalent, with minimum 12+ Years of relevant Experience.
  • Extensive experience utilizing Google Cloud Platform (Google Cloud Platform) services, including BigQuery, Dataflow, Data prep, and Pub/Sub, for data engineering solutions.

Skills

  • Strong background in implementing security and compliance on Google Cloud Platform, ensuring data privacy and regulatory adherence.
  • Track record of optimizing cost and resource usage within Google Cloud Platform environments.
  • Skilled in AWS services such as Amazon EMR, Redshift, and Glue for efficient data processing.
  • Expertise in architecting scalable, cost-effective solutions on AWS, with proficiency in configuring AWS Lambda for serverless computing.
  • Adept at setting up AWS Kinesis streams to process real-time data, enhancing system responsiveness and data-driven decision-making.
  • Experienced in integrating AWS services into CI/CD pipelines, streamlining automation for continuous integration, delivery, and deployment.
  • Skilled in setting up and securing AWS Virtual Private Cloud (VPC) environments.
  • Proficient in managing Azure virtual machines (VMs) for cloud infrastructure operations.
  • Extensive experience managing on-premises data infrastructure, including data warehouses and databases.
  • Familiar with AWS DevOps practices for continuous integration and deployment.
  • Expertise in using Git for version control in DBT projects, ensuring proper tracking and documentation of data model changes.
  • Skilled in performance optimization and tuning of on-premises data systems.
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