Senior Staff Engineer, Data (657692)

Netpace, Inc.

$130K — $180K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in data warehouse development and architecture
  • 4+ years in Big Data/Cloud systems
  • 5+ years of ETL development and operations experience
  • Expert in SQL with experience in stored procedures and functions
  • Strong software development skills in Java and/or Python
  • Deep knowledge of relational databases and schema design
  • Experience with Hadoop and associated technologies

Responsibilities

  • Participate in the full development life cycle for Data Warehouse and Data Mart systems
  • Design and implement ETL frameworks using Hive, Spark, and Java
  • Build scalable data pipelines for diverse data sources
  • Create a proprietary Hadoop-based data warehouse query engine
  • Gather and document business requirements for reporting
  • Define best practices for data warehousing architecture
  • Monitor and resolve performance issues on data servers

Benefits

  • Collaborative work environment focusing on innovation
  • Opportunity to work with cutting-edge technology
  • Professional development and training opportunities
  • Flexible work arrangements
  • Potential for global team collaboration
Full Job Description
Description:
Description:
We are looking for an experienced senior data engineer with software engineering skills to help us build critical data pipelines at massive scale, architect and build our big data warehouse and data mart systems, and develop models to facilitate real-time or near real-time applications, faster operational and historical analytics
Responsibilities
Participate in the full development life cycle of Data Warehouse and Data Mart systems
Design and implement ETL frameworks for Data Warehouse system using technologies like Hive, Spark and Java
Design, build and launch scalable, extremely efficient and reliable data pipelines to move data (both large and small amounts from diverse sources) into and out of Data Warehouse and Data Mart systems
Design and implement data warehouse query engine, implement our proprietary cutting edge Hadoop-based data warehouse systems
Gather and document data mart reporting and other requirements to meet business needs
Define and promote best practices and design principles for data warehousing techniques and architecture, while improving data organization and accuracy processing through data governance framework
Monitor and troubleshoot performance issues on data warehouse and data mart servers
Desired Skills & Experience
5+ years working experience in data warehouse development and architecture. 4+ years of experience in Big Data, Data Warehouse or Large Scale Cloud systems
5+ years ETL development/operations/reporting from multiple sources, using appropriate tools
5+ years advanced SQL skills, including stored procedures, functions, indexes, and views
A track record of crafting, implementing and delivering scalable, performant data pipelines and data services
Expert level software development experience using Java and/or Python
Expertise with dimensional warehouse data models (star, snowflake schemas)
Deep knowledge and hands-on experience with relational databases (Greenplum and Oracle, MySQL/Postgres etc) and database schema design
Extensive experience with Hadoop, MapReduce/Yarn, Hive and HBase
Knowledge of automation and orchestration platforms such as Airflow
BS/MS Degree in Computer Science or related field
Excellent inter-personal and teamwork skills, having experiences working with oversea teams is a plus

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