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.
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.