Engineer Data
Engineer Data
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Job Description
Description
About the role
Enphase is looking for position Engineer to join its Storage business units highly effective and brisk Data Analytics and Engineering division. We anticipate applications from candidates who have strong technical knowledge based on their experience or education in data analytics and related domains. The candidate will gain a lot of knowledge about the Data Analysis Engineering and Data Science vertices in this entrylevel which will help them develop as a Data Scientist and ultimately can help Enphase to enhance the experience of Enphase homeowners installers and utilities.
The ideal candidate will have one to two years of experience working as a Data Engineer or Data Analyst who can work on large datasets create analytical techniques and offer insightful advice to internal business owners. The business is particularly interested in data engineering ETLs home energy management grid analytics etc.
What you will do
- Assist in the design and development of our data infrastructure including ETL pipelines data storage and data processing systems.
- Develop and maintain data models data dictionaries and other documentation related to data infrastructure.
- Collaborate with crossfunctional teams to understand business requirements and deliver datadriven solutions.
- Perform data quality checks and implement monitoring to ensure data accuracy and completeness.
- Actively seek out and solve technology and engineering problems with Data Wrangling ProblemSolving and Experimental Design skills.
- Own significant opportunities and projects and promote consensus closure and clarity among teams. abide by agile methods.
- Work together with the engineers across the organization comprehend the needs and propose solutions.
- Set new standards for sustainable engineering by enhancing best practices and creating worldclass documentation code testing and monitoring.
Who you are and what youbring
- B.E/B.Tech in Computer Science or Electrical Engineering from top tier college and >70 marks.
- Good knowledge of multiple data store system in relational and NoSQL databases messaging queues Orchestration Framework E.g.: Airflow Oozie).
- Preferably a polyglot programmer who can code in at least 2 highlevel languages (Java / Ruby / Python / JS / Go / Elixir)
- Handson experience of faulttolerant data engineering systems (Hadoop HDFS Cassandra MongoDB Spark etc.
- Experience in atleast 1 cloud platform (AWS Microsoft Azure GCP) preferably AWS.
- Experience working as part of a product team along with engineers and product managers to define the problem and execute the data engineering and data analytical solutions.
- Experience in dealing with large scale noisy and unstructured data. Experience with time series data will be advantageous
- Passion for driving continual improvement initiatives on engineering best practices like coding testing or monitoring.
- Excellent written and verbal communication skills including the ability to write detailed technical documents.
- Must be able to work effectively in a team setting as well as individually.
- Ability to communicate and collaborate with external teams and stakeholders. Must have growth mindset to learn and contribute across different modules or services.
- Ability to work on a fastpaced environment & Experience with IoT based systems preferred
Employment Type
Full-Time
