Data Engineer (Snowflake / AWS)

Sumeru Solutions

Atlanta, GA

Apply

JOB DETAILS

SKILLS

AWS Lambda, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Apache Hadoop, Apache Spark, Best Practices, Big Data, Cloud Computing, Continuous Deployment/Delivery, Continuous Integration, Data Analysis, Data Collection, Data Management, Data Modeling, Data Quality, Data Visualization Tools, Data Warehousing, Database Extract Transform and Load (ETL), DevOps, Dimensional Modeling, Ecosystems, Electronic Medical Records, Healthcare, Identify Issues, Information/Data Security (InfoSec), Performance Tuning/Optimization, Power BI, Problem Solving Skills, Process Improvement, Programming Languages, Python Programming/Scripting Language, Requirements Management, SQL (Structured Query Language), Sales Pipeline, Scalable System Development, Snowflake Schema, Software Engineering, Source Code/Configuration Management (SCM), Stored Procedures, Structured Data, Tableau, Unstructured Data, Use Cases

LOCATION

Atlanta, GA

POSTED

6 days ago

Job Description - Data Engineer (Snowflake / AWS) Role Overview We are seeking a highly skilled Data Engineer with 7+ years of experience in designing and delivering scalable data solutions using Snowflake and AWS cloud platforms. The ideal candidate will play a key role in building robust data pipelines, optimizing data architectures, and enabling advanced analytics across enterprise systems. This role requires strong expertise in data warehousing, ETL/ELT processes, and cloud-native data engineering practices. Key Responsibilities Design, develop, and maintain scalable data pipelines and workflows using Snowflake and AWS services. Implement data ingestion, transformation, and integration processes for structured and unstructured data. Develop optimized Snowflake objects (tables, views, streams, tasks, stored procedures). Build and manage ELT pipelines using tools such as AWS Glue, Airflow, or other orchestration frameworks. Collaborate with data analysts, architects, and business stakeholders to gather data requirements and deliver high-quality solutions. Perform data modeling (dimensional & warehouse modeling) to support reporting and analytics use cases. Optimize data processes for performance, scalability, and cost-efficiency in Snowflake. Implement data governance, security, and compliance best practices. Monitor, troubleshoot, and resolve issues related to data pipelines and integrations. Ensure data quality, integrity, and availability across systems. Required Skills & Experience 7+ years of experience in Data Engineering or related roles Strong hands-on experience with Snowflake (SnowSQL, Snowpipe, Streams, Tasks, Data Sharing) Experience in AWS ecosystem (S3, Redshift, Glue, Lambda, EMR) Proficiency in SQL and one programming language (Python / PySpark preferred) Experience in ETL/ELT tools and data integration frameworks Strong knowledge of data warehousing concepts and dimensional modeling Experience with big data technologies (Spark, Hadoop, Databricks - optional but preferred) Familiarity with CI/CD, DevOps practices, and version control tools Preferred Qualifications Experience with real-time data ingestion and streaming pipelines Exposure to data orchestration tools (Airflow, Step Functions, etc.) Knowledge of data visualization tools (Power BI, Tableau) Experience in US healthcare domain (preferred for Elevance-type engagements)

Data Engineer (Snowflake / AWS)

Sumeru Solutions

Atlanta, GA

About the Company

Sumeru Solutions

Similar Job Searches