Job Description:
Job Title-
Senior Data Engineer - Snowflake, AVP
Location- Pune, India
Role Description
DWS’s data infrastructure team provides the secure, scalable and trustworthy foundation for storing, processing and distributing critical enterprise data
. As a Senior Data Engineer, you will design, build, and operate scalable data pipelines and platform components that power decision-making, reporting, and enterprise analytics. You will work closely with data governance teams, platform engineering, and business stakeholders to raise the bar on data quality and reliability.
What we’ll offer you
As part of our flexible scheme, here are just some of the benefits that you’ll enjoy
Best in class leave policy
Gender neutral parental leaves
100% reimbursement under childcare assistance benefit (gender neutral)
Sponsorship for Industry relevant certifications and education
Employee Assistance Program for you and your family members
Comprehensive Hospitalization Insurance for you and your dependents
Accident and Term life Insurance
Complementary Health screening for 35 yrs. and above
Your key responsibilities
Design and implement robust ELT pipelines using dbt on Snowflake, following established data modeling standards
Build and maintain data products for core domains including fund accounting, positions, NAV, and regulatory reporting
Define and enforce data contracts, expectations and alerts with
Design and develop infrastructure components in Terraform or other IaC and infrastructure automation tools
Collaborate with architects, security engineers, control functions, the Chief Data Office and other stakeholder to improve compliance, security posture and reliability
Work with product owners to translate product vision and demand into platform capabilities
Your skills and experience
10+ years of experience in data engineering roles
Deep hands-on expertise with Snowflake, including architecture, performance tuning, Snowpark, OpenFlow and Streamlit
Strong dbt proficiency (models, macros, packages, testing, deployment)
Very strong Python skills for pipeline development and tooling
Experience with common enterprise data modeling, such as dimensional modeling, SCD or Data Vault
Familiarity with cloud platforms (e.g. GCP), StreamSets and Airflow
Previous exposure to data governance tooling (e.g. Collibra)
Understanding of asset management and the financial services data domain would be a plus
Strong problem-solving skills, strategic thinking and attention to detail
Fluent in English (written and spoken)
How we’ll support you
Training and development to help you excel in your career
Coaching and support from experts in your team
A culture of continuous learning to aid progression
A range of flexible benefits that you can tailor to suit your needs
About us and our teams
Please visit our company website for further information:
https://www.db.com/company/company.html
We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture. The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. We call this #ConnectingTheDots.
