@ Valtech / BENGALURU, INDIA · HYBRID
As a Cloud Engineer at Valtech, you will design GCP-native architectures using services such as BigQuery, Dataflow (Apache Beam), Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Vertex AI, and Cloud Run. You will build and maintain data pipelines — batch and streaming — following medallion architecture patterns (Bronze / Silver / Gold).
Implement infrastructure as code using Terraform and manage deployments via Cloud Build or equivalent CI/CD tooling. Define and apply GCP landing zone standards including IAM, VPC, Shared VPC, Private Service Connect, and Org policies.
Develop end-to-end Lakehouse solutions on Databricks — including Delta Lake table design, Unity Catalog governance, and MLflow model tracking. Write and optimise PySpark and SQL workloads for large-scale transformations and feature engineering. Configure Databricks clusters, job scheduling, auto-scaling, and cost controls in a GCP (DBX on GCP) environment. Implement Databricks Workflows and Asset Bundles for orchestration and deployment automation. Advise clients on Databricks platform adoption, including migration pathways from legacy Hadoop or on-premise data warehouses.
Lead technical workshops and requirements-gathering sessions with client technical and business teams. Produce high-quality client-facing deliverables: architecture diagrams, technical specifications, migration runbooks, and data dictionaries. Present solution designs and progress updates to client stakeholders — adapting technical communication to audience level (CTO to Business Analyst).
Manage technical dependencies, risks, and issues across delivery workstreams — escalating to Delivery Managers as appropriate. Participate in sprint ceremonies and maintain delivery velocity within Agile/Scrum or Kanban frameworks.
Implement data quality frameworks using tools such as Great Expectations, dbt tests, or Databricks Delta constraints. Support data catalogue initiatives and metadata management using Dataplex or Unity Catalog. Ensure GDPR/data residency compliance is embedded into solution design from the outset.
Support practice leads in responding to RFPs and RFIs — contributing to effort estimation, solution sizing, and proposal narrative. Contribute to internal knowledge-sharing — through documentation, runbooks, and team enablement sessions. Stay current with GCP and Databricks product roadmaps and proactively identify opportunities to introduce new capabilities to clients.
Must have qualifications:
* Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
* 6+ years of hands-on professional experience in cloud data engineering or GCP platform roles.
* Google Cloud Professional Data Engineer or Professional Cloud Architect certification.
* Databricks Certified Associate Developer for Apache Spark or Databricks Certified Data Engineer certification.
* BigQuery — advanced SQL, partitioning, clustering, cost optimization.
* Cloud Storage, Cloud Functions, Cloud Run.
* Dataflow (Apache Beam) — batch & streaming pipelines.
* Cloud Composer / Airflow — DAG authoring and management.
* Pub/Sub — event-driven architectures.
* Vertex AI — model serving and Pipelines exposure.
* IAM, VPC, Org Policies — security and governance.
* Cloud Build / Artifact Registry — CI/CD and containerization.
* Terraform — infrastructure as code on GCP.
* Looker / Looker Studio — reporting layer familiarity.
* PySpark — DataFrame API, optimization, broadcast joins.
* Delta Lake — ACID transactions, time travel, Z-ordering.
* Unity Catalog — governance, lineage, access control.
* Databricks Workflows / Job orchestration.
* Databricks on GCP — cluster config, instance pools.
* MLflow — experiment tracking, model registry.
* dbt on Databricks or BigQuery.
* Databricks Asset Bundles / CI/CD integration.
* Python — data engineering and scripting proficiency.
* SQL — advanced analytical queries.
* Git / version control — branching, PR workflows.
* Docker — containerization basics.
* Unit testing and data pipeline testing practices.
* REST API integration patterns.
Nice to have qualifications:
* Experience with Azure or AWS alongside GCP — hybrid cloud delivery experience.
* Familiarity with commercetools, Contentful, or other composable commerce/content platforms.
* Exposure to Salesforce Marketing Cloud data connectors or CDPs.
* Knowledge of Generative AI / LLM integration patterns — Vertex AI GenAI Studio, Gemini APIs.
* Experience with Databricks Agent Framework or LangChain for agentic AI workloads.
* Apache Kafka or Confluent Cloud for event streaming architectures.
* Google Cloud Professional Machine Learning Engineer.
* HashiCorp Terraform Associate.
* Experience in luxury, retail, or FMCG verticals — understanding of product data models and PIM systems.
"technology_tags": [
"GCP",
"BigQuery",
"Dataflow",
"Apache Beam",
"Cloud Composer",
"Pub/Sub",
"Cloud Storage",
"Vertex AI",
"Cloud Run",
"Terraform",
"Cloud Build",
"Artifact Registry",
"IAM",
"VPC",
"Databricks",
"Delta Lake",
"Unity Catalog",
"MLflow",
"PySpark",
"SQL",
"Python",
"dbt",
"Databricks Workflows",
"Looker",
"Looker Studio",
"Docker",
"Git",
"REST API",
"Great Expectations",
"Dataplex",
"Kafka",
"Confluent Cloud",
"LangChain",
"Gemini APIs",
"AWS",
"Azure",
"Contentful",
"Salesforce Marketing Cloud",
"Airflow",
"Shared VPC",
"Private Service Connect",
"Org Policies",
"Asset Bundles",
"GenAI Studio",
"Cloud Functions"
]
Health & Wellness
Private health insurance provided to all employees — because your wellbeing matters.
Learning Budget
An education program with training and certification opportunities so you never stop growing.
Wellbeing Program
A dedicated wellbeing program because living a healthy, well-balanced life isn't optional — it's a necessity.
Free Food & Drinks
Free coffee, drinks and snacks at the office, plus legendary company dinners to look forward to.
Social Activities
Ski trips, karting, laser tag, wine tasting, picnics, cooking classes — we've done it all and we're not stopping.
Generous Holiday
24 days of paid vacation plus annual company events to recharge and celebrate together.
Flexible Hours
Flexible work schedules so you can do your best work whenever and wherever that looks like for you.
Hybrid Working
Work from our global offices, from home, or wherever you perform best — the choice is yours.
International Projects
Work alongside cross-functional, multi-cultural teams on global projects for brands like Ford, Mars, L'Oréal and Bose.
Cross-Cultural Team
A truly global team spanning 20+ countries — you'll always find someone to connect with and learn from.
DEI Commitment
A structured D&I strategy with a Global Council, maturity index, leadership accelerator program, and annual public reporting.
Mentorship Program
The Accelerating into Leadership programme pairs underrepresented talent with senior leaders for visibility, feedback and advocacy.
Career Progression
Room to start new business units, programs and skill centres — entrepreneurial growth is baked into how we work.
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BENGALURU, INDIA · HYBRID
JOB_TYPE
FULL TIME
SENIORITY
SENIOR
PLATFORM
COMMERCETOOLS
EMPLOYER_PROFILE
Valtech
The experience innovation company built to help you move faster, think bolder and deliver what's next
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