
Senior Lead Data Engineer
Brillio
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
AirflowApacheHadoopHDFSMapReducePythonScalaShell ScriptingSparkSQLUnixYarn
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
- **
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
HadoopSpark SQLPythonSQLApache AirflowScalaUnix shell scriptingdata modelingdata warehousingELT pipelines
Soft skills
technical guidancementorshipcollaborationproblem-solvingcommunication