Data Engineer (Snowflake)

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The Opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The Role  

As a Data Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 4+ years of experience, a growth mindset and a drive to make a lasting impact. 

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

Role & Responsibilities:

Data Architecture & Engineering

• Design and implement scalable, secure Snowflake data warehouses (multi-environment, role-based access, RBAC/ABAC, masking/row access).
• Architect ELT pipelines using Fivetran/Stitch/Singer; extend with custom connectors when required.
• Build and maintain dbt-based transformation layers (staging → marts → semantic models) with modular, test-driven designs.
• Implement orchestration using Airflow/Prefect/Dagster for scheduling, dependencies, and retries.

Data Modeling & Optimization

• Apply dimensional modeling, Data Vault, and star schema best practices for analytics at scale.
• Optimize Snowflake performance: warehouse sizing, clustering/partitioning strategies, query tuning, caching, and cost controls (Resource Monitors, Query Acceleration).
• Leverage advanced Snowflake features (Tasks, Streams, Time Travel, Data Sharing, External Tables/Iceberg, Snowpipe, object tagging).

Quality, Governance & Documentation

• Implement robust testing (dbt tests, Great Expectations) and proactive data validation frameworks.
• Establish and enforce governance: data lineage, cataloging, PII classification, policies, RBAC, auditability.
• Maintain documentation and lineage in tools like Alation/Collibra/DataHub; automate as part of CI/CD.

DevOps & Automation

• Set up CI/CD for dbt and data artifacts (Git-based workflows, environments, automated tests, PR checks).
• Build Python utilities for ELT automation, data processing, backfills, and metadata operations.
• Implement observability using Monte Carlo/Datafold (freshness, volume, schema change, anomaly monitoring).

Collaboration & Enablement

• Partner with analytics/data science teams to enable governed self-service (semantic/metric layers, certified datasets).
• Translate stakeholder requirements into scalable data models and SLAs.
• Champion DataOps and best practices across teams; conduct knowledge sessions.

Must Have

To be considered for this role, you must meet the following essential qualifications: 

• Education: A Bachelor's or Master’s degree in computer science, Engineering, or a related technical field is typically required.
• 4–7 years in data engineering/analytics engineering with cloud data warehousing focus.
• Deep expertise in Snowflake: architecture, security (RBAC, masking, row access), performance tuning, cost optimization, and workload management.
• Advanced dbt: macros, packages, refactoring layered models, exposures, tests (unique/not_null/relationships/custom), and best practices.
• Strong ELT experience with Fivetran/Stitch/Singer; ability to build custom connectors if needed.
• Excellent SQL and data modeling (dimensional modeling, star schema, Data Vault).
• Proficient in Python for data processing, scripting, and automation.
• Experience with Airflow/Prefect/Dagster for orchestration.
• Solid CI/CD knowledge: Git workflows, environment promotion, automated testing.
• Experience on at least one cloud (AWS/GCP/Azure) and their native data services (e.g., S3/GCS/ADLS, IAM, secrets).
• Data governance, lineage, and data quality practices (Great Expectations/dbt tests).
• Familiarity with BI tools (Tableau/Looker/Power BI) and how models feed them.

 

Good to Have

• Reverse ETL: Census, Hightouch, Polytomic.
• Streaming platforms: Kafka, Kinesis, Pub/Sub; CDC patterns.
• Data catalog: Alation, Collibra, DataHub.
• Observability: Monte Carlo, Datafold (diffs, lineage impacts, anomaly detection).
• Containerization & deployment: Docker, Kubernetes.
• Concepts: DataOps, analytics engineering, data mesh, metric layer/semantic modeling.
• Additional warehouses: BigQuery; transformation Dataform.

 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

 The Benefits  

This is a Full-Time position based in Bengaluru.

Beyond a competitive compensation package, we offer: 

• Flexibility, with hybrid work options (country-dependent) 
• Learning and development, with access to cutting-edge tools, training and industry experts.

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. 

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses ending in @valtech.com. 

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.