Hands-on experience designing and building enterprise data solutions on Google Cloud Platform or another major cloud provider — with a portfolio of systems personally built, not only specified.

Must-have skills/tools:

Python and SQL at production depth; JVM-based languages (Java/Scala)

BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Composer

Pub/Sub, Kafka, Spark Streaming

Cloud Run, GKE, Cloud Functions

Lakehouse formats: Iceberg, Delta Lake, Parquet, Avro, JSON

CI/CD pipelines, Git/GitHub, test-driven development

Nice-to-have skills/tools:

Terraform, Docker, Kubernetes, Dynatrace

Bigtable, Cloud SQL, Cloud Spanner

Microservices architecture, OpenAPI/REST and event-driven API design

Vertex AI, LangChain, embeddings, RAG patterns

Healthcare domain knowledge/experience

Experience with document and unstructured data processing, including ingestion, enrichment, and indexing.

Practical experience integrating LLMs and AI frameworks into production data pipelines.

Strong understanding of data security, privacy, and regulatory requirements (HIPAA, GDPR) in cloud environments.

Strong ability to assemble large,



complex data sets meeting functional and non-functional requirements.

Strong ability to identify, design, and implement internal process improvements, including redesigning data platforms for greater scalability and optimized data delivery.

Expert ability using source control management and CI/CD automation tools.

Strong understanding of Agile methodologies and how to apply Agile within the team.

Ability to communicate complex architectures clearly to both technical and non-technical audiences, and to present and facilitate technical ideas.

Proven ability to complete work, make sound decisions, and plan and accomplish goals without explicit direction/guidance from leadership.

Demonstrates an empathetic and growth mindset with a willingness to learn new skills, technologies, and methodologies.

Coaches and mentors engineers within and external to the team.

Excellent problem-solving and analytical skills.

Certifications (a plus, but not required):

GCP Skilled Data Engineer

GCP Professional Cloud Architect

📌 Data Architect (Hyderabad)
🏢 Techno Comp (TCI)
📍 Hyderabad