Sr. Data Engineer

Overview

Remote
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

SQL
PowerShell
Python
Spark
Azure Data Factory
AzureDevOps
Dimensional Modeling
Apache Parquet
Apache Spark
Big Data
Cloud Computing
Data Lake
Data Warehouse
Scripting Language
ETL

Job Details

Role: Data Engineer

Location: 100% Remote

Job Description

Experienced SR Data Engineer: 8+ years of experience working with data infrastructure, ETL processes, and large-scale datasets.
Proficient in SQL & Python: Strong knowledge of SQL for querying and manipulating data and experience with Python for scripting and automation.
PowerShell experience - this is our scripting language of choice.
Proficiency with parquet and delta formats
Cloud & Big Data: Hands-on experience with Azure cloud and distributed processing (Spark). Experience in Azure technologies like Azure Data Factory, Azure Databricks using Python, Azure Data Lake Storage, Azure Functions, AzureDevOps for CI/CD and Logic App.
Should be proficient optimizing code for performance (able to read a DAG, determine where CBO is using most resources)
Strong understanding of data warehousing concepts and dimensional modeling.
Strong understanding of software development lifecycle from planning to deployment. We follow a standard deployment process (dev, test, prod) that includes peer reviewed code
Problem Solver & Innovator: Passionate about solving complex data challenges and improving system efficiency.
Team Player & Communicator: Strong collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.

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