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ALGOTEQUE Innovation Hub Linkedin · Posted yesterday

Data Scientist

Rahway, New Jersey, United States

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Indexed description

ALGOTEQUE is an IT consultancy firm that helps startups, mid-sized and large corporations to create and deliver innovative technologies. Our team has a successful track record in designing, developing, implementing, and integrating software solutions (AI, ML, BI, Web, Automation) for Telecom, Energy, Bank, Insurance, Pharma, Automotive, Industry, e-commerce. We deliver our services both in fixed-price and time-and-materials models, helping our customers achieve their business and IT strategies.

Job Description

We are looking for a Data Scientist to design and optimize scalable data solutions supporting analytics, reporting, and advanced data-driven initiatives. The role focuses on data modeling, ETL/ELT design, automation, and enabling efficient data consumption across BI, analytics, and application environments.

Responsibilities

  • Design and develop ETL/ELT pipelines and scalable data workflows.
  • Build and optimize data models, data lakes, and data warehouse solutions.
  • Implement data pipeline automation using CI/CD practices.
  • Monitor data jobs and troubleshoot failures or performance issues.
  • Enable data consumption for BI tools, dashboards, analytics teams, and APIs.
  • Process and manage structured and semi-structured datasets (CSV, JSON, Parquet, etc.).
  • Optimize data solutions for analytics, reporting, and scalability.
  • Collaborate with cross-functional teams to support business and analytical needs.

Profile / Requirements

  • Strong experience with data engineering concepts, ETL/ELT design, and data modeling.
  • Advanced proficiency in Python and SQL.
  • Strong SQL skills for data transformation and analysis.
  • Experience designing and managing data lakes and data warehouses.
  • Experience working with structured and semi-structured data formats.
  • Understanding of CI/CD practices and data pipeline automation.
  • Strong analytical and problem-solving skills.
  • Ability to work effectively with technical and business stakeholders.

Nice To Have

  • Knowledge of Java or Scala.
  • Experience supporting BI, analytics, or API-driven data solutions.
  • Familiarity with cloud-based data platforms.
  • Experience with large-scale data processing and optimization.

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