BriefCase
BriefCase

Data Engineering Job in Cloud Desk Technology

Data Engineering

Cloud Desk Technology 4+ weeks ago
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Job Summary We are looking for Data Engineers. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects

Roles and Responsibilities
  • 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, AWS, Data Historians, etc.
  • 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.
  • 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.

Requirements

  • Minimum 4 years of experience in a Data Engineer role
  • 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 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.
  • Traditional ETL tools (at least 2 tools)
  • Experience with SAS Data Management tools: SAS DI and SAS Visual Analytics
  • Experience with other tools such Alteryx workbench, Informatica PowerCenter, Oracle DI preferred
  • Experience in various Azure data services and languages to store and produce cleansed and enhanced datasets for analysis.
  • Must have experience in Azure services like Data factory, Synapse, Databricks, Power BI etc. Azure certifications preferred.
  • At least 2 years of experience in cloud-based solutions
  • Experience building and optimizing big data data pipelines, architectures, and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific

    •
    Experience Required :

    4 to 5 Years

    Vacancy :

    2 - 4 Hires

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