Data Engineer

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Job Summary

Job Type


Years of Experience
Information not provided

Tech Stacks
Python SQL Airflow NumPy Apache Pandas BigQuery Google Cloud Analytics ETL

Job Description

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


Must have:

  • good knowledge in SQL
  • Querying and handing of large datasets
  • optimized queries
  • stored procedures
  • nested queries
  • 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


  • 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

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

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