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High-Performance Data Engineer
3 weeks ago
As a data engineer, you will play a key role in helping our organization make informed decisions by providing insights and analysis of complex data sets.
You will design, develop, and maintain large-scale data processing systems, ensuring high performance, reliability, and scalability. Your expertise will be essential in streamlining data pipelines, refining data collection, and implementing data engineering solutions that meet the needs of our clients.
Collaboration with cross-functional teams will be crucial in ensuring seamless solution deployment and adoption. You will troubleshoot and resolve production issues in a timely manner, maintaining the operational health and service levels of our IT solutions.
- Analyze and document client data requirements to inform project initiatives.
- Design and implement data engineering solutions, from ETL jobs to analytical reporting.
- Develop comprehensive test plans and scripts and support user acceptance testing (UAT).
- Build custom reports and dashboards that align with user needs.
To succeed in this role, you will require:
- A minimum of 4 years of experience managing data engineering jobs in Big Data environments.
- Proven experience completing projects using Waterfall or Agile methodologies.
- Expert-level skills in SQL, data modeling, and data analysis.
- Hands-on experience with big data engineering using Python, PySpark, Linux, and ETL tools like Informatica.
- Proficiency in a reporting or visualization tool such as SAP BusinessObjects or Tableau.
We offer a competitive compensation package, including benefits and opportunities for professional growth and development. As an equal opportunity employer, we value diversity in our team and encourage candidates from all backgrounds to apply.
Our hiring process typically involves a general interview, technical interview, and manager interview. Not sure if you meet all the requirements? No problem. Let's talk anyway and find out more.
