Data Engineer

We are seeking a highly skilled Data Engineer to design, build, and manage our data infrastructure. The ideal candidate is an expert in writing complex SQL queries, designing efficient database schemas, and developing ETL/ELT pipelines. This role ensures data accuracy, accessibility, and performance optimization to support business intelligence, analytics, and reporting initiatives.

Key ResponsibilitiesDatabase Design & ManagementDesign, develop, and maintain relational databases, including SQL Server, PostgreSQL, and Oracle, as well as cloud-based data warehouses.

Strategic SQL & Data EngineeringDevelop advanced, optimized SQL queries, stored procedures, and functions to process and analyze large, complex datasets and deliver actionable business insights.

Data Pipeline Automation & OrchestrationBuild, automate, and orchestrate ETL/ELT workflows using SQL, Python, and cloud-native tools to integrate and transform data from diverse, distributed sources.

Performance OptimizationTune SQL queries and optimize database schemas through indexing, partitioning, and normalization to improve data retrieval and processing performance.

Data Integrity & SecurityEnsure data quality, consistency, and integrity across systems.

Implement data masking, encryption, and role-based access control (RBAC).DocumentationMaintain comprehensive technical documentation, including database schemas, data dictionaries, and ETL workflows.