Hiring for Data Engineer / Data Scientist
Two95
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.
Vacancy posted more than 2 months ago
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