Staff Data Engineer
ChargePoint, Inc.
4d ago

What You Will Be Doing

Being a leading EV charging network,we have a lot of data that is used to enhanceend-user experience, optimize network operations and placement of charging stations, and improve internal operations andmanufacturing processes.

This is just the beginning,and we see a huge opportunity to leverage data to predict failures before they happen, build delightful products and enable electrification of all forms of transportation.

A Data Engineerin this role will work with several departments across the company (e.g., Engineering, Operations, Sales, Marketing, Support) to identify use cases / scenarios for optimization, buildlakehouseto enable efficient querying and analytics, and help others usedata science and ML to analyze the data and build data solutions.

We are looking for a Data Engineer to not only build data pipelines but also extend the next generation of our data tools.

What You Will Bring to ChargePoint

  • Design, build and launch extremely efficient and reliable data pipelines to move data across a number of platforms including Data Warehouse, online caches and real-time systems.
  • Use your data and analytics experience to see what’s missing’, identifying and addressing gaps in their existing logging and processes.
  • Provide thought leadership, perform business analysis, and support execution of high-impact strategic projects and mission-critical initiatives.
  • oBe an evangelist for data analysis and data-oriented decision making. oStay up to date with constantly evolving data analysis landscape and industry best practices

  • Work with key leaders on critical strategic, organisational, and operational projects designed to increase revenue, sales productivity, and operational efficiency.
  • Work with many global teams, communicate optimally, both written and verbal, with technical and non-technical multi-functional teams.
  • Build data expertise and data quality for your areas.
  • Requirements

  • Solid software engineering fundamentals
  • Programming experience in building high quality applications, data pipelines and analytics solutions.
  • Experience in developing BigData applications using Python / java / Spark / Hive / Oozie / Airflow / Kafka / MapReduce.
  • 5+ years of experience working with cloud or on-prem Big Data / MPP analytics platform (i.e., AWS Glue / EMR, Google BigQuery, Azure Data Warehouse, Databricks, Snowflake, Hortonworks / Cloudera Clusters, or similar)
  • 5+ years of experience in custom ETL design, implementation and maintenance.
  • 5+ years of experience within writing AdvancedSQLs, performance tuning of SQLs
  • 5+ years of experience with building dimensional data models to improve accessibility, efficiency, and quality of data
  • Strong competency in problem solving, analysis & project management.
  • Previous experience working in a fast-paced, fast-growing, and results-driven environment that demands consistent and enduring excellence.
  • Ability to identify issues and develop and implement solutions to meet department and company goals.
  • Strong organizational skills and the ability to prioritize and manage multiple projects simultaneously with complex and demanding deadlines.
  • Ability to work with ambiguity and create quick PoCs
  • Self-starter; strong drive, bias-to-action, commitment and work ethic; willingness to take on big challenges and own the results from brainstorm to execution.
  • Excellent written and verbal communication skills -Able to influence others effectively.
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