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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.
Job Responsibility
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.
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.