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Nike Senior Data Engineer Global Converse ITC 
India, Karnataka, Bengaluru 
783269385

Today

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WHO YOU’LL WORK WITH

You will be part of the Digital Design & Merchandising, Product Creation, Planning, and Manufacturing Technology team at Converse. You will take direction and work primarily with the Demand and Supply team, supporting business planning space. You'll work with a talented team of engineers, data architects, and business stakeholders to design and implement scalable data integration solutions on cloud-based platforms to support our planning org. The successful candidate will be responsible for leading the integration of planning systems, processes, and data across the organization

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:

  • 5+ years of experience with Databricks, Apache Spark, and cloud-based data integration.

  • Strong Technical expertise with cloud-based platforms, including AWS and or Azure cloud.

  • Strong programming skills in languages like SQL, Python, Java, or Scala.

  • 3+ 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.

  • Experience with Jenkins and other CI/CD tools like GitLab CI/CD, CircleCI, etc.

  • Experience with containerization using Docker and Kubernetes.

  • Experience with infrastructure such as code using tools like Terraform or CloudFormation

  • Experience with Agile development methodologies and version control systems like Git

  • Experience with IT service management tools like ServiceNow, JIRA, etc.

  • Data warehousing solutions, such as Amazon Redshift, Azure Synapse Analytics, or Google BigQuery will be a plus but not mandatory.

  • Data science and machine learning concepts, including TensorFlow, PyTorch, or scikit-learn will be a plus but not mandatory.

  • Strong technical background in computer science, software engineering, or a related field.

  • Excellent collaboration, communication, and interpersonal skills.

  • Experience with data governance, data quality, and data security principles.

  • Ability to lead and mentor junior team members.

  • AWS Certified Solutions Architect or AWS Certified Developer Associate or Azure Certified Solutions Architect certification.

WHAT YOU’LL WORK ON

  • Design and implement scalable data integration solutions using Databricks, Apache Spark, and cloud-based platforms.

  • Develop and implement cloud-based data pipelines using Databricks, Nifi, AWS Glue, Azure Data Factory, or Google Cloud Dataflow.

  • Collaborate with cross-functional teams to deliver high-quality solutions that meet business requirements.

  • Develop and maintain technical standards, best practices, and documentation.

  • Integrate various data sources, including on-premises and cloud-based systems, applications, and databases.

  • Ensure data quality, integrity, and security throughout the integration process.

  • Collaborate with data engineering, data science, and business stakeholders to understand requirements and deliver solutions.

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