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Advisory Software Engineer
Pitney Bowes
posted 17hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
We are looking for a skilled Data Warehousing Support individual to be part of a highly integrated, cross-disciplined team that will be responsible for supporting modern ETL services for cross systems, applications and Business Intelligence leveraging Cloud Data Warehouses, SAP, SFDC and other enterprise databases.
The Job
- Analyze, develop and support ETL and CDC pipelines in and out of data warehouse with a focus on automation, performance, reliability, durability, data quality, security and SLA expectations
- Provide production support for Data Warehouse issues such data load problems, transformation translation problems
- Perform data mappings and design of system for ETL/CDC workflow solutions
- Adhere to and promote CI/CD best practices, processes, and deliverables in accordance with modern standards in a DataOps environment
- 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
- Participate in architectural design review sessions and ensure all solutions are aligned to pre-defined specifications
- 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
- Ability to support and/or develop ETL pipelines and scripts in and out of data warehouse using combination of HVR, Goldengate, Snaplogic, Python and Snowflake s SnowSQL
- Experience with different source systems like SAP, HANA, OLFM and SalesForce preferred
- Strong SQL skills including stored procedures
- Extensive experience performance tuning, troubleshooting and debugging solutions
- Experience in supporting Data Warehouse and data transformation issues
- Demonstrated experience providing production support during time sensitive situations
- Experience in integrating premise infrastructure with public cloud (AWS, AZURE, Snowflake)
- Experience with AIX/Linux shell scripting
- 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
- Ability to design and outline solutions using cloud based and on-premises technologies
- Ability to understand data pipelines and modern ways of automating data pipeline
- Actively test and clearly document implementations, so others can easily understand the requirements, implementation, and test conditions
- Expert in source and target system analysis and prior experience on project analysis and cost estimations
- Ability to work effectively in a remote team environment
- 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.
- Attention to Detail: Meticulous approach to ensure data accuracy and integrity.
- Adaptability: Willingness to learn new technologies and adapt to changing requirements.
- Time Management: Effective time management skills to meet project deadlines.
- Adaptability: Flexibility to adapt to changing project requirements.
- Stakeholder Management: Ability to manage expectations and build relationships with stakeholders.
Experience
- More than 1 years experience with Snowflake cloud-based data warehouse
- Hands-on experience with at least one Snowflake project
- 4-6 years experience developing ETL, ELT and Data Warehousing solutions
- 4-6 years experience with HVR or Snaplogic (preferred)
- More than 2 years experience with CDC technologies(preferred)
- More than 2 years experience AWS cloud, Azure or Google cloud
- 2-4 years experience developing Python based code that reads/writes data into databases
- 2-4 years experience developing SQL scripts and stored procedures that process data from databases
- 2-4 years experience with batch job scheduling and identifying data/job dependencies
- Strong understanding of various data formats such as CSV, XML, JSON etc.
Employment Type: Full Time, Permanent
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What people at Pitney Bowes are saying
Rating based on 15 Advisory Software Engineer
reviews
Anonymous · Engineering - Software & QA
in Noida
Likes
Gifts Work life balance Small group of people
- Salary - Excellent
+4 more
Dislikes
Politics Office canteen is virtually nothing
Advisory Software Engineer salary at Pitney Bowes
reported by
139
employees
with 6-12
years exp.
₹12.6
L/yr - ₹37.2
L/yr
16%
less
than the average Advisory Software Engineer Salary in India
View more details
What Pitney Bowes employees are saying about work life
based on 259 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Pitney Bowes Benefits
Work From Home 
Health Insurance 
Free Transport 
Soft Skill Training 
Education Assistance 
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