Data Engineer

Description

We are looking for a Data Engineer to help shape and strengthen the organization's data warehouse and analytics capabilities. This role will focus on building reliable data solutions that support reporting, business intelligence, and operational decision-making across the company. The ideal candidate brings strong technical depth in data engineering, enjoys solving complex integration challenges, and works effectively with both IT colleagues and business stakeholders.

Responsibilities:

Design and enhance scalable data warehouse structures and integration pipelines that support analytics, reporting, and cross-system data flow.

Develop, test, and maintain ETL processes that move data from varied source systems into staging, warehouse, and downstream reporting environments.

Partner with business teams and technical peers to translate functional needs into practical data solutions and system designs.

Improve database performance by tuning SQL, refining indexing strategies, and addressing issues identified through execution plan analysis.

Create and support dashboards, reports, and data visualizations using tools such as Power BI, Tableau, and similar business intelligence platforms.

Perform data validation, auditing, and quality checks to protect accuracy, consistency, and compliance across critical datasets.

Provide production support for data platforms, integrations, and reporting solutions, resolving issues and maintaining dependable system performance.

Contribute to agile delivery efforts by participating in development, testing, and quality assurance activities across databases, middleware, and analytics applications

Requirements

Bachelor's degree in Computer Science, Information Systems, Analytics, or another technology-related discipline.

5+ years of experience in database development or data engineering, including significant work with data warehouse design and implementation.

Strong hands-on expertise with SQL development, including complex queries, stored procedures, functions, and performance tuning.

Experience building ETL and data integration workflows, with particular familiarity in Azure Data Factory and comparable tools.

Solid understanding of relational database concepts, data modeling, data dictionaries, and data analysis practices.

Proficiency with reporting and visualization tools such as Microsoft Power BI and Tableau.

Working knowledge of modern data technologies such as Python, Spark, Hadoop, Kafka, data lakes, or Microsoft Fabric is highly valued.

Strong communication, organization, and collaboration skills, with the ability to work independently and contribute effectively within a team environment.+

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