Data Engineer
Miami, FL
Intermex Wire Transfer
Intermex Wire Transfer (NASDAQ: IMXI) is a dynamic, fast-paced, and innovative fintech specializing in wire transfer and financial products for underrepresented consumers. Since 1994, we have been a leader in the money transfer industry, connecting thousands of people with their families and communities.
We are looking for a Senior Data Engineer, to take on a critical role in bridging the Data & Analytics gap between business and technology. Compiling data to a centralized warehouse enabling our business functions to make faster, data driven decisions.
Why this role matters! At our core, we believe every immigrant family deserves access to tools that empower their future. We’re on a mission to build technology that doesn’t just solve problems but changes lives. If you want your work to have an impact on millions of families across the globe, this is the challenge you’ve been waiting for.
The Reality of Work
- The grind: The hours are long, potentially on the weekend, possibly overnight, because meaningful work demands commitment.
- The tools: You’ll need to work with and modernize legacy systems while still innovating for the future. So yes, all your work will not involve new, sexy technology. But you will help us get there.
- The challenges: Communication won’t always be smooth. In fact, you will be frustrated with changing priorities, sometimes unclear business requirements, and team challenges. But overcoming these hurdles is how breakthroughs happen.
- The environment: This isn’t a remote role. We believe collaboration happens best in the same room, building together as a team.
We’re not looking for someone who wants a comfortable role. We’re looking for someone who craves meaning and thrives on challenges. If you believe in the power of technology to transform lives, we’d love to meet you.
What You Will Do
- Designing, developing, and supporting our data platform using Azure technologies and other BI environments as needed
- Develop ETL processes using Azure tools like Azure Data Factory, Azure Synapse Pipelines, and Azure Databricks
- Extract data from various sources, transform it into a suitable format, and load it into Azure Data Lake or Azure SQL Database
- Gather and compile data from various sources to a centralized data warehouse that can be utilized by business
- Create and maintain data pipelines to maximize efficiency and processing
- Maintain and monitor ETL processes and data flows
- Participate in creating architecture diagrams and systems documentation that can be understood and used by business users and IS team members.
- Provide guidance to business users in business analytics; assist business users with self-service dashboard development.
- Follow and share applicable best practices.
- Provide support and issue resolution by analyzing issues, discovering root cause, and providing alternative long-term solutions to resolve.
- Ensure the integrity and security of institutional data.
- Create value via logical and innovative solutions that solve complex problems and adhere to best practices.
What You Bring
- 5-7 years of data engineering experience,
- Experience with Microsoft and Azure Stack for data analytics platforms (Data Factory, Data Lake, Azure Synapse Analytics, Machine Learning, SQL Warehouse, Data Bricks, Power BI, Azure Analysis Services, Event hubs)
- Experience in engineering data pipelines and logical data models that serve business analytics and visualization tools
- Experience in Database design, designing cubes and models in Analysis Services is required
- Experience with a subset of visualization, analytics, and reporting platforms: Power BI, Tableau
- Experience Optimizing Data Loads, Data Extractions, Queries and Stored Procedures
Intermex Wire Transfer LLC. is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Intermex Wire Transfer LLC. makes hiring decisions based solely on qualifications, merit, and business needs at the time.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Business Analytics Data Analytics Databricks Data pipelines Data warehouse Engineering ETL FinTech Machine Learning Pipelines Power BI Security SQL Tableau
Perks/benefits: Career development
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