Postgres Engineer

Hybrid 3 days onsiteThe vulnerability management platforms development squad is looking for a highly skilled Data Engineer with deep expertise in PostgreSQL, Snowflake or ElasticSearch. The ideal candidate will have advanced experience in data modeling, ETL processes, and building large-scale data solutions. A strong technical background in data engineering and streaming services (e.g., Kafka) is required.Responsibilities : Data Pipeline Development : Build, optimize, and manage data pipelines, orchestration tools, and governance frameworks to ensure efficient, high-quality data flow. Data Quality & Governance : Perform data quality checks, enforce governance standards, and apply quality rules to ensure data integrity. Real-time Data Processing : Utilize Python and streaming technologies (e.g., Kafka) for real-time data processing and analytics, with PostgreSQL as the source. Advanced SQL Development : Write complex SQL queries for data manipulation, analysis, and integration. Snowflake or ElasticSearch Architecture & Implementation : Design and implement large-scale data integration solutions using either of them. Qualifications : Experience : 8+ years in IT with a focus on data engineering and architecture. In addition to deep knowledge of PostgreSQL, the candidate should have expertise of Snowflake or ElasticSearch : In-depth knowledge of architecture, functions, and data warehousing concepts. ETL & Data Modeling : Advanced skills in ETL processes, data modeling, and data warehousing. Programming : Proficiency in Python for data engineering tasks. Streaming Services : Experience with Kafka or similar real-time data streaming services. Communication : Strong analytical, architectural design, and communication skills for engaging with diverse technical stakeholders. This role requires a technical expert with a passion for solving complex data challenges and building large-scale data solutions.