Role Senior Database Engineer Experience 7 -12 Years Location Pune Mode Hybrid 3 Days work from Office Mandatory Skillset Database Engineer Cloud Database AWS Postgres Snowflake Oracle RDS Medallion Architecture DBT AI ML Solutions Data Security Python Terraform Technical Requirements 7 years of experience in data engineering database engineering or data platform development in production environments Strong hands-on experience with Snowflake including performance tuning security and cost optimization Deep expertise with PostgreSQL and AWS RDS in cloud-native architectures Proven experience designing lakehouse or contemporary data warehouse architectures Strong understanding of Medallion Architecture semantic layers and analytics engineering best practices Experience building and operating advanced ELT pipelines using up-to-date tooling e g dbt orchestration frameworks Proficiency with SQL and Python for data transformation automation and tooling Experience with Terraform and infrastructure-as-code for data platforms Solid understanding of data governance observability and reliability engineering About the Role Join our DevOps Engineering team as a Senior Database Engineer responsible for designing optimizing and automating cloud database solutions across AWS RDS Postgres and Snowflake This role focuses on performance engineering data integration and automation - ensuring our data platforms are scalable reliable and efficient You ll work closely with DevOps and Product Engineering to build high-performing data infrastructure that supports critical applications and analytics Key Responsibilities Modern Data Architecture Platform Engineering Design build and optimize database solutions using Snowflake PostgreSQL and Oracle RDS Design and evolve cloud-native data lakehouse architectures using Snowflake AWS and open data formats where appropriate - Implement and manage Medallion Architecture Bronze Silver Gold patterns to support raw ingestion curated analytics and - business-ready datasets Build and optimize hybrid data platforms spanning operational databases PostgreSQL RDS and analytical systems Snowflake Develop and maintain semantic layers and analytics models to enable consistent reusable metrics across BI analytics and AI use cases Engineer efficient data models ETL ELT pipelines and query performance tuning for analytical and transactional workloads Implement replication partitioning and data lifecycle management to enhance scalability and resilience Manage schema evolution data versioning and change management in multienvironment deployments Advanced Data Pipelines Orchestration Engineer highly reliable ELT pipelines using modern tooling e g DBT cloud-native services event-driven ingestion Design pipelines that support batch micro-batch and near-real-time processing Implement data quality checks schema enforcement lineage and observability across pipelines Optimize performance cost and scalability across ingestion transformation and consumption layers AI-Enabled Data Engineering Apply AI and ML techniques to data architecture and operations including Intelligent data quality validation and anomaly detection Automated schema drift detection and impact analysis Query optimization and workload pattern analysis Design data foundations that support ML feature stores training datasets and inference pipelines Collaborate with Data Science teams to ensure data platforms are AI-ready reproducible and governed Automation DevOps Infrastructure as Code Build and manage data infrastructure as code using Terraform and cloud-native services Integrate data platforms into CI CD pipelines enabling automated testing deployment and rollback of data changes Develop tooling and automation Python SQL APIs to streamline provisioning monitoring and operational workflows Security Governance Compliance Implement enterprise-grade data governance including role-based access control encryption masking and auditing Enforce data contracts ownership and lifecycle management across the lakehouse Partner with Security and Compliance teams to ensure audit readiness and regulatory alignment Build and manage data infrastructure as code using Terraform and cloud-native services Integrate data platforms into CI CD pipelines enabling automated testing deployment and rollback of data changes Develop tooling and automation Python SQL APIs to streamline provisioning monitoring and operational workflows

📌 Senior Database Engineer (Maharashtra)
🏢 YO IT CONSULTING
📍 Maharashtra