Data Engineer, ADF, Snowflake

Job not on LinkedIn

🕒 September 3

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Everest Technologies, Inc

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1997

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Everest Technologies, Inc. is a technology solutions provider that focuses on addressing business challenges through innovative IT services. The company specializes in managed services, project solutions, and staff augmentation, helping organizations improve their engineering capabilities and enhance their operational efficiency. Everest Technologies leverages advanced methodologies in DevOps, quality engineering, and cloud enablement, offering a wide range of application services to drive technology transformations across various industries.

📋 Description

• Design, develop, and maintain ETL/ELT data pipelines using Azure Data Factory (ADF) • Build and optimize data solutions using Snowflake as the cloud data warehouse • Develop data transformation models using dbt (Data Build Tool) • Write complex and optimized SQL queries, stored procedures, views, and transformations • Develop data pipelines to ingest data from APIs, databases, files, and enterprise applications • Perform data cleansing, transformation, validation, and reconciliation to ensure data quality and accuracy • Implement incremental data loads, scheduling, dependency management, and error handling in ADF • Develop scalable and optimized Snowflake data models, tables, views, and SQL transformations • Build and maintain dbt models, tests, macros, and documentation • Troubleshoot pipeline failures, data issues, and performance problems across ADF, Snowflake, and dbt • Work with business analysts, data architects, and other engineering teams to understand data requirements and deliver solutions • Support production deployments, monitoring, and ongoing enhancement of data pipelines

🎯 Requirements

• 4+ years of experience in Data Engineering • Strong hands-on experience with Azure Data Factory (ADF), Snowflake, dbt, and Advanced SQL • Strong understanding of ETL/ELT concepts and data warehousing • Experience developing complex data pipelines and data transformations • Good understanding of dimensional data modeling, including fact and dimension tables • Experience with Snowflake performance optimization and query tuning • Hands-on experience with dbt models, tests, incremental models, macros, and Jinja • Strong troubleshooting and production support skills • Experience with Azure cloud services, particularly Azure Storage, Azure Functions, Databricks, or Key Vault (preferred) • Experience integrating data through REST APIs, JSON, CSV, and relational databases (preferred) • Experience with Python or PySpark (a plus) • Experience with Git and CI/CD using Azure DevOps or similar tools (preferred) • Understanding of data governance, data quality, and security best practices (preferred) • Experience working with large-scale enterprise data platforms (preferred)