Data Engineer

Job Description:

The 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.