Job Description

At Pitney Bowes, we do the right thing, the right way. As a member of our team, 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.

:

Join Pitney Bowes as Senior Software Engineer

Years of experience - 4 to 6 years

Job Location -Pune



The Job



Analyze, develop and support ETL and CDC pipelines in and out of data warehouse



Provide production support for Data Warehouse issues such data load problems, transformation translation problems



Work closely with business analysts to implement integration technology solutions that meet the specifications of a project or service request



Develop automated data audit and validation processes



Ensure accurate and timely data availability to meet business SLA, especially around critical time periods



Document ETL and data warehouse processes and flows



Qualifications & Skills required



Experience in performance tuning, troubleshooting and debugging solutions



Ability to support and/or develop ETL pipelines and scripts in and out of data warehouse using combination of HVR, Snaplogic and Snowflake's SnowSQL



Experience with different source systems like SAP, HANA, OLFM and SalesForce preferred



Strong SQL skills including stored procedures



Demonstrated experience providing production support during time sensitive situations



Experience performing detailed data analysis (i.e. determining the structure, content, and quality of the data through examination of source systems and data samples)



Ability to translate requirements for BI and Reporting and data transformations



Actively test and clearly document implementations, so others can easily understand the requirements, implementation, and test conditions



Excellent written and verbal communication, time management, and presentation skills Additional Skills

Problem-Solving:

Ability to troubleshoot and resolve technical issues efficiently.

Communication:

Effective communication skills to interact with stakeholders and team members.

Analytical Thinking:

Ability to analyse data and identify patterns and trends to ensure Data Accuracy.

Must have:

1. Expertise in ETL / ETL / Data Pipeline



Must have hands-on experience supporting ETL/ELT processes with a strong understanding of data integration concepts, workflows, and end-to-end pipeline execution.



Experience working with SnapLogic (preferred) or good experience in other ETL/ELT tools such as Informatica, DBT



Strong skills in troubleshooting pipeline failures, identifying data issues, analyzing root causes, and ensuring data accuracy and completeness.



Ability to understand and work with various data formats including CSV, XML, JSON, Parquet, etc.



Experience monitoring, validating, and optimizing data flows to ensure high availability and performance in production environments.



Knowledge of scheduling tools, job dependencies, and workflow orchestration for stable and reliable production operations.



Ability to collaborate with development teams to raise defects, provide logs, suggest improvements, and support deployment activities for ETL changes.



2. Experience in Snowflake



Understanding of Snowflake architecture



Ability to create and manage Snowflake objects (tables, views, stages, file formats)



Experience with Snowflake performance tuning (query profiling, clustering, caching)



3. Expertise in SQL Skills



Ability to write complex SQL queries



Strong knowledge of joins, subqueries, window functions, CTEs



Query optimization and debugging slow or failing queries



Data quality checks and root-cause analysis using SQL



4. Production Support Skills



Strong problem-solving and debugging skills



Ability to analyze logs, error messages, and system failures



Experience with incident management and ticketing tools (JIRA, etc)



Monitoring and supporting daily/weekly ETL/ELT jobs (Snaplogic)



Identifying and resolving data issues or job failures quickly



Ready work in 2 shifts between (8 am to 11:30 pm IST) (no night shifts unless critical production issue) , biweekly shift rotation, on-call weekend support on need basis.



Flexibility to adopt and learn new technology skills



As of now 3 days mandatory to work from office Pune Location



5. Communication & Documentation



Ability to communicate clearly with business and technical teams



Maintaining support documentation, runbooks, and SOPs



Good to Have



Shipping Domain knowledge



Knowledge of SAP, Hana, ERP



Basic knowledge of Python or Shell scripting for automation



AWS S3



cicd deployment and Gitlab practices and implementation



Basic Knowledge of BI tools (Cognos , Power BI)



The Team

Pitney Bowes (NYSE:

PBI) is a global shipping and mailing company that provides technology, logistics, and financial services to more than 90 percent of the Fortune 500. Small business, retail, enterprise, and government clients around the world rely on Pitney Bowes to remove the complexity of sending mail and parcels. For additional information visit Pitney Bowes at www.pitneybowes.com .

We will:

Provide the will: 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 ( P B Live Well )

Pitney Bowes is an equal opportunity employer that values diversity and inclusiveness in the workplace.



All interested individuals must apply online.