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Urgent! Senior Software Engineer - Databricks, Global Converse,ITC Job Opening In India, India – Now Hiring NIKE

Senior Software Engineer Databricks, Global Converse,ITC



Job description

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

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:

  • 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.


Required Skill Profession

Computer Occupations



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