Data Scientist
Rahway, New Jersey, United States · Tempo total
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Company Overview
ALGOTEQUE is an IT consulting company that supports startups, mid-sized businesses, and large enterprises in building and delivering modern technology solutions. Its work spans AI, machine learning, business intelligence, web development, and automation across sectors such as telecom, energy, banking, insurance, pharma, automotive, industrial, and e-commerce. The company delivers projects through both fixed-price and time-and-materials engagement models to help clients meet their business and technology goals.
Role Overview
The company is seeking a Data Scientist who can design and improve scalable data solutions that power analytics, reporting, and advanced data initiatives. This position centers on data modeling, ETL/ELT architecture, automation, and making data easy to use across BI, analytics, and application ecosystems.
Responsibilities
- Create and maintain scalable ETL/ELT pipelines and data workflows.
- Design and refine data models, data lakes, and data warehouse systems.
- Automate pipeline execution and deployment using CI/CD methods.
- Track data job performance and resolve failures or bottlenecks.
- Support data access for BI platforms, dashboards, analytics teams, and APIs.
- Handle structured and semi-structured data formats such as CSV, JSON, and Parquet.
- Improve data solutions for scalability, reporting, and analytical use cases.
- Work closely with cross-functional stakeholders to address business and analytical needs.
Requirements
- Hands-on experience with data engineering fundamentals, ETL/ELT design, and data modeling.
- Strong working knowledge of Python and SQL.
- Solid SQL capability for transformation and analysis tasks.
- Experience building and operating data lakes and data warehouses.
- Comfort working with both structured and semi-structured datasets.
- Understanding of CI/CD workflows and pipeline automation.
- Strong analytical thinking and troubleshooting ability.
- Ability to communicate and collaborate with both technical and business teams.
- Added advantage: familiarity with Java or Scala.
- Added advantage: experience supporting BI, analytics, or API-based data solutions.
- Added advantage: exposure to cloud-based data platforms.
- Added advantage: experience with high-volume data processing and optimization.
Additional Information
AO4190