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Senior Data Engineer

Humain Dev Systems — Armenia · Posted ~2 hours ago

Senior

Skills

Database architecture Database optimization SQL query optimization Database sharding Data modeling Data warehousing ETL pipelines High-volume data processing Data validation IAM Data security Data compliance SQL Databases Database Sharding Data Warehousing ETL

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Summary ✨ AI‑Generated

A growing technology organization is looking for a senior data engineer to own and improve critical data infrastructure. You will optimize complex databases and mission-critical queries, implement sharding strategies, design data models and warehouses, maintain ETL pipelines, and ensure accuracy, security, and reliability across high-volume data systems.

Highlights

High-ownership senior data engineering role focused on improving database scalability, query performance, data reliability, and high-volume data infrastructure while collaborating across technical teams.

Description

Description We are looking for a highly skilled Senior Data Engineer to join our team and take ownership of optimizing, scaling, and maintaining our data infrastructure. You will play a critical role in ensuring data accuracy, performance, and reliability across our systems. Responsibilities Collect, validate, and ensure accuracy of data from multiple sourcesOptimize and restructure databases to improve efficiency and scalabilityImprove query performance with a strong focus on mission-critical queries (especially for Evidence data)Implement and manage DB sharding strategies for scalabilityDesign, develop, and maintain data models, warehouses, and ETL pipelinesWork with frequently updating, high-volume data environmentsCollaborate with product, engineering, and DevOps teams to ensure seamless data flowEnsure data security and compliance using IAM roles and permissions Required qualifications Extensive experience working with complex database structuresExpert knowledge of databases (especially MySQL)Strong background in Big Data technologies and large-scale data processingHands-on experience with data modeling, warehousing, and ETL pipelinesExperience managing frequently updating data systemsSolid understanding of query optimization and performance tuningProficiency with AWS services, Redis, IAM roles and permissionsStrong problem-solving skills and ability to work in fast-paced environments Nice to Have Familiarity with Soft DevOps skills (CI/CD, containerization, monitoring, etc.)Exposure to modern data stack tools (Airflow, Spark, Kafka, etc.)