Hiring for Data Engineer / Data Scientist

This Data Engineer/Data Scientist role focuses on full lifecycle data science project management, encompassing data gathering, pipeline development, visualization, maintenance, and business problem solving. The role involves leveraging data tools like Tableau and Python/R to deliver automated solutions. The company seeks someone with a strong analytical and leadership background, particularly in the areas of ETL/ELT, data management, and machine learning.

Requirements

• Must have completed education from Bachelors, Masters or PHDs from Computer Science, Social Sciences, Physical Sciences, Statistics, Mathematics, Computer Engineering and any related field.
• 4+ years of experience in building out scalable and reliable ETL/ELT pipelines and processes.
• Deep understanding of Relational Database Management Systems (RDBMS) (e.g. PostgreSQL, MySQL) , No-SQL Databases (e.g. MongoDB, ElasticSearch) and hands-on experience in implementation and performance tuning of MPP databases (e.g. BigQuery).
• Experience with Tableau, Power BI, Superset or any standard data visualization tools.
• Strong proficiency in writing production-quality code preferably in R/Python, engineering experience with machine learning projects like Time Series Forecasting, Classification and Optimization problems
• Experience administering and deploying CI/CD tools (e.g. Git, Jira, Jenkins) and Industrialization (e.g. Ansible, Terraform), Workflow Management (e.g. Airflow, Jenkins, Luigi) in Linux operating environments.
• Exhibits sound business judgment, a proven ability to influence others, strong analytical skills and a proven track record of taking ownership, leading data-driven analyses and influencing results.
• Solid experience in GCP
• E-commerce / logistics / fashion retail background a bonus.