Senior Cloud Engineer, Global Converse,
nike
Job Description
WHO WE ARE LOOKING FOR
We're looking for a seasoned Cloud Integration Lead with expertise in Databricks, Apache Spark, and cloud-based data integration. You'll have a strong technical background, excellent collaboration skills, and a passion for delivering high-quality solutions.
The ideal candidate will have:
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6+ years of experience with cloud-based data integration.
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Strong Technical expertise with cloud-based platforms, including AWS and or Azure cloud.
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Strong programming skills in languages like SQL, Python, Java, or Scala.
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5+ years' experience with cloud-based data infrastructure and integration leveraging tools like S3, Airflow, EC2, AWS Glue, DynamoDB & Lambdas, Athena, AWS Code deploy, Azure Data Factory, or Google Cloud Dataflow.
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Experience with Jenkins and other CI/CD tools like GitLab CI/CD, CircleCI, etc.
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Experience with containerization using Docker and Kubernetes.
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Experience with infrastructure such as code using tools like Terraform or CloudFormation
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Experience with Agile development methodologies and version control systems like Git
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Experience with IT service management tools like ServiceNow, JIRA, etc.
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Data warehousing solutions, such as Amazon Redshift, Azure Synapse Analytics, or Google BigQuery will be a plus but not mandatory.
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Data science and machine learning concepts, including TensorFlow, PyTorch, or scikit-learn will be a plus but not mandatory.
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Strong technical background in computer science, software engineering, or a related field.
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Excellent collaboration, communication, and interpersonal skills.
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Experience with data governance, data quality, and data security principles.
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Ability to lead and mentor junior team members.
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AWS Certified Solutions Architect or AWS Certified Developer Associate or Azure Certified Solutions Architect certification.