Senior Data Solutions Analyst

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Keep IT Simple

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 1988

📦 Logistics

🏥 Healthcare

🔒 Cybersecurity

Logistics • Healthcare • Cybersecurity

Keep IT Simple (KIS) is an IT services and solutions provider based in Silicon Valley, serving customers throughout California and beyond since 1988. They specialize in providing expertise in cybersecurity, virtualization, cloud solutions, and consulting for network infrastructures, helping clients navigate and solve complex IT challenges. KIS is dedicated to delivering comprehensive, cost-effective IT solutions and exceptional customer service.

📋 Description

• Act in the analysis, definition and implementation of data solutions, responsible for conceptual, logical and physical data modeling, ensuring data quality and supporting corporate data architecture. • Senior professional with solid experience in data modeling, SQL, and development of ETL/ELT pipelines, capable of working from requirements gathering through implementation and maintenance of robust solutions for analytical and corporate environments. • Gather, analyze and document business requirements related to data; • Define conceptual, logical and physical data models for analytical and operational environments; • Develop, maintain and optimize data ingestion, transformation and provisioning pipelines; • Implement ETL/ELT processes to integrate multiple data sources; • Ensure data quality, consistency, governance and traceability; • Collaborate with architects, data scientists, data engineers and business stakeholders; • Prepare technical and functional documentation for data flows; • Monitor performance and promote continuous improvements in load and transformation processes; • Support the definition of standards, best practices and the organization’s data architecture.

🎯 Requirements

• Minimum of 4 years of experience in systems analysis, data engineering or related areas; • Proven experience in enterprise data modeling projects; • Participation in building and maintaining large-scale data pipelines; • Experience with modern data environments (Data Warehouse, Data Lake and Lakehouse); • Strong knowledge of conceptual, logical and physical data modeling; • Experience with dimensional modeling (Star Schema and Snowflake); • Knowledge of modeling for Data Warehouse, Data Mart and Data Lake; • Advanced experience in SQL; • Familiarity with SQL Server, Oracle, PostgreSQL, MySQL; • Experience developing ETL/ELT pipelines; • Knowledge of batch and streaming data processing; • Implementation of integrations between different data sources, APIs and corporate systems; • Data quality handling, enrichment and transformation; • Knowledge of Git and version control practices; • Python (preferred); • Experience in Cloud environments (Azure, AWS or Google Cloud Platform); • Knowledge of Data Lakehouse architecture; • Concepts of Dimensional Modeling (Data Warehouse and Data Marts); • Integration of analytical solutions and BI platforms.

🏖️ Benefits

• 100% remote.