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Data Engineer (Remote)

Bungee Tech

Bungee Tech

Data Science
Noida, Uttar Pradesh, India · Noida, Uttar Pradesh, India · Uttar Pradesh, India
Posted on Wednesday, June 19, 2024
Responsibilities

As an experienced member of the team, in this role, you will:

  • Contribute to evolving the technical direction of analytical Systems and play a critical role their design and development
  • You will research, design and code, troubleshoot and support. What you create is also what you own.
  • Develop the next generation of automation tools for monitoring and measuring data quality, with associated user interfaces.
  • Be able to broaden your technical skills and work in an environment that thrives on creativity, efficient execution, and product innovation.


Basic Qualifications

  • Bachelor’s degree or higher in an analytical area such as Computer Science, Physics, Mathematics, Statistics, Engineering or similar.
  • 5+ years relevant professional experience in Data Engineering and Business Intelligence
  • 5+ years in with Advanced SQL (analytical functions), ETL, Data Warehousing.
  • Strong knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures, data modeling and performance tuning.
  • Ability to effectively communicate with both business and technical teams.
  • Excellent coding skills in Java, Python, C++, or equivalent object-oriented programming language
  • Understanding of relational and non-relational databases and basic SQL
  • Proficiency with at least one of these scripting languages: Perl / Python / Ruby / shell script


Preferred qualifications

  • Experience with building data pipelines from application databases.
  • Experience with AWS services - S3, Redshift, Spectrum, EMR, Glue, Athena, ELK etc.
  • Experience working with Data Lakes.
  • Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space
  • Sharp problem solving skills and ability to resolve ambiguous requirements
  • Experience on working with Big Data
  • Knowledge and experience on working with Hive and the Hadoop ecosystem
  • Knowledge of Spark
  • Experience working with Data Science teams