Assistant Manager/Manager - Data Engineering - eCommerce

Job Responsibilities:

- Design, develop, and maintain data pipelines

- Develop optimal SQL queries against large datasets to solve business problems

- Translate complex business logic into optimum feature engineering pipelines for processing on large amount of data

- Interact with the client to understand business needs and apply analytical concepts to generate actionable business insights

- Effectively visualize data and create dashboards

Skills:

Must have:

- Very good knowledge in SQL

a. Advanced Querying and handing of large datasets

b. Writing optimized queries

c. Creating stored procedures

d. Joins, nested queries

- Exposure to Python (basic libraries such as Numpy/pandas)

- Strong verbal and business communication skills

- Strong business acumen & demonstrated aptitude for analytics that incite action

- Effective time management and attention to detail

Good to Have:

- Experience in using Google Cloud Platform

- Understanding of BigQuery architecture, table partitioning, clustering, type of tables etc.

- Exposure to data architecture and schema design

- Experience with Workflow Schedulers/ ETL jobs (Apache Airflow, Cron)

- Experience in using Python for data wrangling and manipulation

- Good knowledge of visualization tools such as Tableau & Power BI is preferred

Eligibility:

- Master's or Bachelor's degree in Math, Statistics, Economics, Computer Science or related analytics field from top-tier universities with strong record of achievement

- 2-6 Years (at least 2 years of SQL experience in analytics environment)