Senior Software Engineer - Databricks, Global Converse,ITC

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.