At Pitney Bowes, we do the right thing, the right way.
As a Sr. Data Warehouse Engineer for Pitney Bowes, you can too.
We have amazing people who are the driving force, the inspiration and foundation of our company. Our thriving culture can be broken down into four components: Client. Team. Win. Innovate.
We actively look for prospects who:
Are passionate about client success.
Enjoy collaborating with others.
Strive to exceed expectations.
Move boldly in the quest for superior and best in market solutions.
A Senior Data Warehouse Engineer who will be working under the direction of the Manager, Data Analytics and Integration. As a senior member of our team you are to work to facilitate, coordinate, and improve manage Data warehousing processes, support modern data integration to Snowflake platform, manage Data Warehouse environments while simultaneously building a modern data streaming architecture; mapping a path towards a consolidated data framework.
You are an individual who will collaborate with off-shore teams and manage deliverables. This individual will work with the Global Operations, Accounting, and Sales teams to create automated and scalable Data ingestion with committed SLAs that will ultimately be a key driver in the growth of the company. You will leverage our data to drive operational efficiencies, provide key data-driven insights, enable new opportunities and innovate on behalf of business customers.
This position will sit fulltime in Austin, TX.
Identify the gaps in our data infrastructure and design and build the solutions.
Build a reliable, scalable, and near real-time central data repository for Snowflake leveraging Data lake/Snowflake technologies.
Build insights and intelligence on top of our central data repository.
Handle large amount of data and real-time event streaming architecture and patterns like Kinesis, Flink, or Confluent in Kafka/ Confluent, AWS S3, Snowflake environments/Platforms.
Diagnose issues in a highly distributed environment.
As a Senior Data Warehouse Engineer, you have:
Should a minimum of 10 years of experience in the Data Warehouse development or Data Analytics
Must have extensive and strong development experience in Java, Python, and SQL.
Must have experience in data modeling, warehouse design, and fact/dimension concepts.
Must have hands-on experience in drving data integration projects and implementing automation via ETL Tools (i.e. Talend, Informatica, SSIS, etc.).
Strong leadership and communication skills (both written and verbal) are a must.
Bachelor's Degree in Computer Science or Business/Data Analytics required.
Experience with serialization/deserialization of data (e.g. Avro, etc).
Scala development experience.
Schema registry maintenance for Kafka topics.
Experience solving analytical business problems using data.
Provide the opportunity to grow and develop your career
Offer an inclusive environment that encourages diverse perspectives and ideas
Deliver challenging and unique opportunities to contribute to the success of a transforming organization
Offer comprehensive benefits globally (pbprojectliving.com)
Since 1999, the Fulfillment, Delivery & Returns (FDR) team has been transforming the consumer experience. We develop next-generation digital commerce, fulfillment, and shipping & return solutions that create meaningful connections with consumers and measurable value for our merchant brands. Our end-to-end suite of omnichannel solutions seamlessly integrates digital and physical commerce. That means new advantages across the customer journey, like actionable data at every touchpoint, a truly unified brand experience and unique engagement opportunities. All to give you a competitive edge in the ever-changing world of global commerce.
Pitney Bowes is an Equal Employment Opportunity/Affirmative Action Employer that values diversity and inclusiveness in the workplace.
W/M/Veterans/Individuals with Disabilities/LGBT are encouraged to apply.
All interested individuals must apply online. Individuals with disabilities who cannot apply via our online application should refer to the alternate application options via our Individuals with Disabilities link.