Qureos Mentor

Innovien Solutions

<div><div><p><b>Job Description:</b><br>
Our customer is hiring a Data Engineer to join a highly visible team that sits in the middle of everything&mdash;owning the data and infrastructure that supports 70,000+ internal users across the business. This team plays a key role in keeping data clean, organized, and usable across internal systems. This person will build and enhance data pipelines within a modern cloud data environment, with opportunities to get into new Greenfield work. It&rsquo;s a high-impact role where you&rsquo;ll work across multiple systems, partner closely with engineering teams, and have a real hand in how data is structured.</p>
<div><b>
Requirements:</b><br>
<ul><li>5+ years of experience in Data Engineering, supporting enterprise-scale data environments across multiple systems and data sources</li><li>Expert-level SQL skills (PostgreSQL preferred, some Microsoft SQL Server), writing complex queries, joins, stored procedures, and views to manipulate and transform large datasets</li><li>Python experience, building and maintaining ETL pipelines to extract, transform, and load data from multiple enterprise sources</li><li>AWS Redshift experience, working within a cloud data warehouse to store, optimize, and deliver data for reporting and downstream applications</li><li>Experience with relational databases (MySQL, PostgreSQL, SQL Server), managing and querying structured data across multiple systems</li></ul></div>
<div><b>
Nice to have:</b><br>
&bull; Databricks experience to support scaling data processing as the platform grows<br>
<ul><li>Experience with orchestration tools (e.g., Rundeck, Lambda) to support scheduling and automation of data workflows</li><li>NoSQL experience (MongoDB, DocumentDB, CosmosDB) to support future-state data architecture</li></ul></div>
<div><b>
Responsibilities</b><b>:</b><br>
<ul><li>Clean up and tighten key datasets to support final migration efforts, ensuring data is accurate and usable across systems</li><li>Write and optimize complex SQL queries, stored procedures, and data structures to support business-critical needs</li><li>Build and maintain ETL pipelines using Python to move and transform data across multiple systems</li><li>Work within AWS Redshift to manage and optimize how data is stored and accessed</li><li>Partner with engineering teams to understand data needs and ensure data is structured in a way that supports the business</li><li>Support ongoing improvements to the data environment as the team moves beyond migration into more scalable, long-term solutions</li></ul></div></div></div>

Data Engineer

Join Innovien Solutions and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Innovien Solutions

About Company

Data Engineer