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Senior Data Platform Engineer
1 month ago
Job Title:
Senior Data Platform Engineer
Location:
Pune, India
Work Mode:
Work From Office (WFO), 5 Days a Week
Shift Timing:
12:00 PM – 9:00 PM IST
About Zywave
Zywave is a leading provider of InsurTech solutions, empowering insurance brokers and agencies with innovative software tools to grow and manage their business. We are building a modern data platform to deliver scalable, secure, and high-performance solutions that drive actionable insights across the organization.
Job Summary
We are looking for a
highly skilled and experienced Senior Data Platform Engineer
to lead the design, development, and optimization of our enterprise data platform. The ideal candidate will have deep expertise in
Snowflake, ELT pipelines, DBT, and Azure Data Factory
and will play a key role in enabling data-driven decision-making across Zywave.
Key Responsibilities
- Design and implement scalable
ELT pipelines
using DBT and Azure Data Factory to ingest, transform, and load data into Snowflake. - Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver robust data models.
- Optimize
Snowflake performance
through clustering, partitioning, and query tuning. - Develop and maintain reusable
DBT models and documentation
for data consistency and transparency. - Ensure
data quality, governance, and security
across the platform. - Monitor and troubleshoot pipeline issues; implement proactive and scalable solutions.
- Lead
code reviews
, mentor junior engineers, and drive best practices in data engineering. - Stay current with emerging technologies and recommend enhancements to the data platform architecture.
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 8+ years
of experience in data engineering or data platform development. - Strong hands-on expertise in
Snowflake, DBT, Azure Data Factory, and ELT pipeline design
. - Proficiency in
SQL and Python
for data manipulation and automation. - Experience with
CI/CD tools
and version control systems (e.g., Git). - Familiarity with
data governance, security, and compliance
standards. - Strong problem-solving skills and ability to work independently as well as in teams.
- Solid understanding of
data warehousing concepts and dimensional modeling
. - Exposure to
Tableau, Power BI, or similar visualization tools
is a plus. - Snowflake certification
is an advantage.
Skills
Mandatory:
Git, Snowflake, DBT, Python, SQL
Good to Have:
Azure Data Factory, ETL, AWS Glue, Tableau, Power BI, Prompt Engineering
Domain Knowledge:
Insurance domain exposure preferred