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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