Hybrid Senior Lead Data Engineer

Posted last week

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About the role

  • Senior Lead Data Engineer

Requirements

  • Key Responsibilities:
  • Architect, construct , test and maintain ELT pipelines using Hadoop and Spark SQL
  • Manage and optimize the infrastructure ensuring reliability and performance
  • Design and implement data models and schemas for enterprise data warehouse and data marts
  • Write and maintain scripts in Python for various applications
  • Develop, optimize, troubleshoot complex SQL queries and database structures for relational and non-relational databases
  • Work closely with analysts and product managers to understand data requirements and deliver high-quality data
  • Provide technical guidance and mentorship to other team members fostering best practices in data engineering
  • Monitor system performance, identify bottlenecks, implement solutions to ensure high data availability
  • **
  • Required Skills:
  • High proficiency in the Hadoop ecosystem (HDFS, MapReduce, Yarn) and Apache Spark, Scala for large scale data processing
  • Good knowledge in Python for data manipulation and scripting
  • Mastery of advanced SQL and deep experience working with relational databases and datawarehouses
  • Hands-on experience with workflow management tools like Apache Airflow
  • Familiarity with Unix shell scripting for automation and system management
  • **

Job title

Senior Lead Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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