SurveyMonkey  is a global leader in online surveys and forms that empowers people with the insights they need to make decisions with speed and confidence. Our fast, intuitive feedback management platform connects millions of users worldwide with real-time AI-powered insights that drive meaningful decisions. We provide answers to more than 20 million questions every day so that people and organizations can attract new audiences, delight customers, create advocates, and extend their competitive advantage in the marketplace. Our vision is to raise the bar for human experiences by amplifying individual voices. Learn more at surveymonkey.com.

What we’re looking for

We are looking for a seasoned data engineer to join a team of highly skilled data engineers and data architects to build and manage the end-to-end data pipelines (batch and near real-time) using modern cloud technologies. This is a role in the central data organization at Momentive that provides actionable insights into all key business functions of the organization

As a Senior Data Engineer, you will lead data engineering initiatives and build end-to-end Analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You will be reporting to the Director of Data Engineering.

What you’ll be working on

• Design, architect and build data pipelines to support existing data models 
• Data quality: Build quality checks in the end-to-end data pipelines
• Build new Data models (Fact vs Dimension). Write performant/idempotent transformations in Snowflake
• Build data pipeline using Python scripting (in a modular/loop context) Write well-tested, production-ready code in Python and Snowflake SQL
• Hands-on experience implementing ETL (or ELT) best practices 
• Translate business requirements, to technical specifications,  form project scope, and deliver deployable code.
• Write complex data engineering Snowflake - SQL jobs that perform sophisticated queries on the entirety of our datasets
• Document our systems for internal and external stakeholders
• Monitor and debug data pipelines running on Airflow
• Participate in code reviews
• Mentor data engineers on best practices and coding standards

We’d love to hear from people with

• 7+ years experience in data engineering  and Data warehousing technologies
• 3+ years experience in Snowflake/ETL or similar technologies like Redshift
• Experience with AWS cloud services: S3, EC2, RDS, Spark, EMR etc
• Experience with object-oriented/object function scripting languages: Python (preferred), Java, Scala, etc.
• Experience in orchestrating, automating, and deploying production data pipelines using Airflow/Luigi, etc
• Experience with DevOps: Git, Github actions, CI/CD pipelines, Terraform, etc
• Experience with tools such as DBT or other similar technologies
• Experience with transforming, developing data structures, metadata, dependency and data workflows to support an Analytics function
• In-depth knowledge of Data lakes, EDW concepts, and data modeling (Star, Snowflake, and Galaxy schemas) 

This opportunity is hybrid and requires you to work from the SurveyMonkey office in Bengaluru 3 days per week.

#LI-Hybrid

Why SurveyMonkey? We’re glad you asked 

SurveyMonkey is a place where the curious come to grow.  We’re building an inclusive workplace where people of every background can excel no matter their time zone. At SurveyMonkey, we weave employee feedback and our core values into everything we do to create forward-looking benefits policies, employee programs, and an award-winning culture, including our annual holiday refresh, our annual week of service, learning and development opportunities like Curiosity Week, and our C.H.O.I.C.E Fund. 

Our commitment to an inclusive workplace

SurveyMonkey is an equal opportunity employer committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.