Application Developer - (Snowflake, Python & AWS)

Dentsu; Pune District, New Delhi; Presencial; INR 3.000.000 - 7.000.000; Jornada completa

Descripción de la vacante

Dentsu is seeking a Data Engineer / Solution Architect to design and implement scalable enterprise data solutions using Snowflake, Python, SQL, and cloud services.

You will lead end-to-end data ingestion, transformation, storage, governance, and analytics, while guiding teams and aligning with business stakeholders. Strong experience with Snowflake, Azure, and AI-enabled data platforms is required. Experience with data security and cost optimization is a plus.

Formación

• Bachelor’s or Master’s degree in Computer Science, IT, Engineering, Data Science, or related field.

Responsabilidades

• Design and implement scalable, secure, and high-performing enterprise data solutions using Snowflake and cloud technologies.

Conocimientos

Snowflake Architecture

Python

SQL

PySpark

Pandas

NumPy

Data Warehousing

Data Lakehouse

Data Modeling

Azure Databricks

LLMs

RAG

Power BI

Tableau

GitHub

Azure DevOps

Docker

Kubernetes

Terraform

Educación

Bachelor’s or Master’s degree in Computer Science, IT, Engineering, Data Science, or related field

Herramientas

GitHub

Azure DevOps

Docker

Kubernetes

Terraform

Descripción del empleo

Data Engineer - (Python, AWS/Azure, Snowflake)Dentsu uses cookies, which are text files placed on your computer, to analyse how visitors use the site. These cookies are set by default but to disable them or for more information about cookies, please see our Privacy Policy. By continuing to navigate our site, we will assume you consent to our use of cookies.# Careers at dentsu## Data Engineer - (Python, AWS/Azure, Snowflake)Apply: DGS India - Bengaluru - Manyata N1 Block: Pune: New delhi: Full time: Posted Today: R1132405**Job Description:**## **Solution Architect (Snowflake, Python & SQL)**### **Required Qualifications*** Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.* 10+ years of experience in Data Engineering, Data Warehousing, Data Architecture, or Solution Architecture.* Minimum 5+ years of hands-on experience with Snowflake architecture, implementation, and optimization.* Proven experience designing enterprise-scale cloud data platforms and analytics solutions.* Strong experience with data modernization, cloud migration, and digital transformation initiatives.* Experience leading technical teams and collaborating with cross-functional stakeholders.* Excellent communication, presentation, and stakeholder management skills.### **Required Skills*** **Snowflake:** Snowflake Architecture, Snowpark, Snowpipe, Streams & Tasks, Dynamic Tables, Data Sharing, Performance Tuning, Cost Optimization.* **Programming:** Python, SQL, PySpark, Pandas, NumPy.* **Data Engineering:** ETL/ELT Design, Data Pipelines, Data Warehousing, Data Lakehouse Architecture, Data Modeling.* **Generative AI & AI Technologies:** Azure OpenAI, OpenAI APIs, LLMs, RAG (Retrieval-Augmented Generation), AI Agents, Prompt Engineering, Vector Databases, LangChain, Semantic Kernel.* **Cloud Platforms:** Microsoft Azure (preferred), Azure Data Factory, Azure Databricks, Azure AI Services, Microsoft Fabric.* **DevOps & Automation:** GitHub, Azure DevOps, CI/CD, Docker, Kubernetes, Terraform.* **Data Governance:** Data Security, Data Quality Management, Metadata Management, Compliance, Access Controls.* **Visualization & Analytics:** Power BI, Tableau, Advanced Analytics.### **Key Responsibilities*** Design and implement scalable, secure, and high-performing enterprise data solutions using Snowflake and cloud technologies.* Define end-to-end architecture for data ingestion, transformation, storage, governance, and analytics.* Architect and optimize Snowflake environments to support business-critical workloads.* Develop and review Python- and SQL-based solutions for data engineering and analytics use cases.* Design and implement Generative AI solutions including LLM-powered applications, AI assistants, intelligent search, and enterprise copilots.* Build and govern RAG-based architectures integrating structured and unstructured enterprise data.* Collaborate with business stakeholders to convert business requirements into scalable technical solutions.* Lead migration initiatives from legacy data platforms to Snowflake and cloud-native architectures.* Establish best practices for data governance, security, performance optimization, and cost management.* Provide architectural leadership, conduct design reviews, and mentor engineering teams.* Evaluate emerging AI, cloud, and data technologies and recommend adoption strategies.* Drive automation, innovation, and continuous improvement initiatives across data and AI platforms.* Support solution estimation, technical planning, risk identification, and mitigation strategies.* Create architecture documentation, technical roadmaps, and governance artifacts.* Ensure compliance with enterprise standards, security policies, and regulatory requirements.**Location:**DGS India - Bengaluru - Manyata N1 Block**Brand:**Merkle**Time Type:**Full time**Contract Type:**Permanent