Posted Aug 18, 2026

Data Scientist

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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. AO4190