Hiring for Data Engineer / Data Scientist

Responsibilities:

• Drive the full lifecycle of Data Science projects: from gathering and understanding the end-user needs to implement a fully automated solution.
• Develop and provision of Data pipelines to enable self-service reports and dashboards.
• Deploy techniques to answer the appropriate business problems using R or Python.
• Visualize data using Tableau and create repeatable visual analysis for end users to use as tools.
• Take ownership of the existing BI platforms and maintain the data integrity and accuracy of the numbers and data sources.
• Know Agile - Scrum project management experience/knowledge - Ability to prioritise, pushback and effectively manage a data product and sprint backlog.

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 to ingest data from a variety of data sources, preferably in the ecommerce retail industry.
• 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 preferable 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) Industrialization (e.g. Ansible, Terraform), Workflow Management ( e.g. Airflow, Jenkins, Luigi) in Linux operating system 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.