Data Engineer leadArgyllinfotech • CA, United States
Data Engineer lead
Argyllinfotech • CA, United States
1 day ago
Job type
- Full-time
- Quick Apply
Job descriptionHigh 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
Senior Lead Data Engineer
Location : San Jose, CA 95125 Hybrid(local)
No GC
Key : Hadoop, Spark SQL strong
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 :
Please share profile kirankumar@argyllinfotech.com
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Lead Data Engineer • CA, United States
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