Job Description :
  • AWS mandatory, Python is required, Azure is nor required, 5 + year experience, IoT Connectivity
  • Role:Data Engineer Skills: Data engineering, AWS, Python, GO, Data pipelines, Big data IoT, Software Engineering, Python, Cloud Native Dev
  • Data Engineering Resource to execute on 1) Asset Registration Interface 2) Data Model Implementation and Governance 3) IoT Connectivity services (e,g, Pi-in-the Sky) independent of AutoGrid
  • Create and maintain optimal data pipeline architecture.
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure, AWS 'big data' technologies.
  • Keep our data separated and secure across national boundaries through multiple data centers and Azure, AWS regions.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

Qualifications for Data Engineer

Exceptional problem solver.

  • Ability to work effectively with and across global Energy Platform teams and functions (product management, data science, architecture, software development)
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
  • Good project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

They should also have experience using the following software/tools:

  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with Azure: ADLS, Databricks, SQL DW, Analysis Services, AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Required Skills :
Basic Qualification :
Additional Skills :
Background Check :Yes
Drug Screen :Yes
Candidate must be your W2 Employee :No
Interview Process :
Additional Keywords :
Degree Requirements :
Certification Requirement :
Minimum Experience (In Years) :0
Travel Requirements :
             

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