Data Engineering Lead

3 weeks ago


Hubli, Karnataka, India EXL Full time

Job Overview

We are seeking a highly skilled Data Engineering Lead to join our team at EXL Analytics. This is an exciting opportunity to lead the design, implementation, and maintenance of our data engineering infrastructure.

About the Role

The successful candidate will be responsible for overseeing the development and deployment of large-scale distributed systems and pipelines that process high volumes of data. They will also assist Data Science/Modeling teams in setting up data pipelines and monitoring daily jobs.

Key Responsibilities

  • Lead the design, implementation, and maintenance of our data engineering infrastructure
  • Oversee the development and deployment of large-scale distributed systems and pipelines
  • Assist Data Science/Modeling teams in setting up data pipelines and monitoring daily jobs
  • Develop, implement, and tune ETL components to high standards of data quality
  • Ensure developer responsibilities are being met through mentoring, code reviews, and ensuring adherence to design best practices

Requirements

To be considered for this role, you must have:

  • 9+ years of experience in a data engineering role in an analytics environment
  • Comfortable coding in Python and advanced SQL
  • 5+ years of experience in big data engineering
  • Bachelor's degree in a technical field (Computer Science degree preferred)
  • Working knowledge of Relational Database Management Systems (RDBMS) like Oracle, Teradata, SQL server
  • Expertise in building data pipelines in Big data platforms; Good understanding of Data warehousing concepts
  • Knowledge of Shell scripting, SQL, Python & some of the standard data science packages (Pandas, Numpy, etc.)
  • Strong verbal and business communication skills

What We Offer

We offer a dynamic, fast-paced environment with opportunities for growth and development. As a member of our team, you can expect:

  • A competitive salary range of $150,000 - $200,000 per annum, depending on location and experience
  • A comprehensive benefits package
  • Ongoing training and development opportunities
  • Mentoring and coaching from experienced professionals
  • A collaborative, supportive work environment


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