
Data Engineering Specialist
4 days ago
This is an exciting opportunity to join our team as a skilled Data Engineer. The ideal candidate will have a strong background in database administration, reporting, and dashboarding disciplines.
We are looking for an experienced professional with extensive experience in TSQL (stored procedures, functions, triggers, ad hoc queries), SSRS (design/development, subscriptions, query performance tuning, and BAU support), ETL, Azure data storage, Azure data factory, and pipelines, Azure Synapse, and data warehousing, as well as some exposure to Power BI and Azure analytics.
Key Responsibilities:
- Understanding business needs and designing solutions that meet those needs.
- Capable of architecture, design, and implementing warehouse and reporting solutions.
- Extracting data from bespoke applications and third-party products.
- Consolidating multiple data sources into a data warehouse and/or data lake.
- Ensuring data is accessible and structured to facilitate reporting needs.
- Setting up dashboards and reports in data visualization and reporting tools.
- Building resilient, reliable, secure, and cost-effective solutions.
- Staying ahead of issues with proactive monitoring and alerting.
- Implementing best practices.
- Collaborate as part of an agile team to design, develop, and maintain software.
- Collaborate with product management to prioritize and plan technical debt remediation and refactoring of data structures and stored procedures.
- Design and implement repeatable data pull requests and execute ad-hoc requests as needed.
Requirements:
- Bachelor's degree in computer science or a related field, or work experience.
- 10+ years of strong experience with SQL Servers and relational databases.
- Strong experience with querying and optimizing complex data sets.
- Strong experience with creating and optimizing complex stored procedures, functions, and triggers.
- Strong experience working with older legacy code and systems.
- Strong experience in data engineering or related roles.
- End-to-end knowledge from product databases to information visualization.
- Experience in Azure cloud technologies, including ADF, Functions, DLS, Synapse, etc.
- Experience in relational database design and architecture.
- Expert in data visualization and reporting using SSRS and Power BI.
- Experience with SSIS, ADF, or any other ETL tools.
- Experience with data warehouse and data modeling (single-layer data warehouse/Kimball).
- Experience with .NET is a plus.
- Experience with Azure is a plus.
- Experience working in an agile environment is a plus.
- Experience in AWS cloud data technologies is beneficial.
- Teamwork and collaboration – willing to share thoughts and seek ideas and feedback from others in return.
- Excellent verbal and written communication skills.
- Comfortable working with staff at all levels.
- Ability to self-organize, prioritize, and track tasks.
- Can work on their own or in a team.
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