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 current 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.

📌 Advisory Software Engineer (Pune)
🏢 Pitney Bowes
📍 Pune