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Data Engineer (Entry Level)

Wavicle Data Solutions leverages Cloud, Data & Analytics technologies to deliver complex business & digital transformation solutions as a Minority Business Enterprise.
$75,000 - $95,000
Data
Entry-Level Software Engineer
In-Person
101 - 500 Employees
2+ years of experience
Enterprise SaaS
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Description For Data Engineer (Entry Level)

Wavicle Data Solutions, a Minority Business Enterprise with a 40%+ women workforce, is seeking an Entry-Level Data Engineer to join their team of 500+ professionals. The company specializes in Cloud, Data & Analytics technologies, delivering complex business & digital transformation solutions to clients. As a Top Workplace award winner, Wavicle offers a challenging and rewarding environment where team members work remotely/hybrid across 42 cities in the US, India, and Canada.

The role focuses on building and maintaining data pipelines using cutting-edge technologies. You'll work with AWS Cloud services, implementing ETL processes, and developing solutions using Python, PySpark, and various data processing frameworks. This position offers hands-on experience with both SQL and NoSQL databases, as well as exposure to emerging technologies like Snowflake, Matillion, and Databricks.

The ideal candidate should have a strong foundation in Computer Science with 2-5 years of experience in cloud computing platforms. You'll be part of a diverse and equitable environment that values innovative problem-solving and technical expertise. The company offers comprehensive benefits including healthcare, unlimited PTO, retirement plans, and both short-term and long-term incentive plans.

This is an excellent opportunity for a data professional looking to grow their career in a supportive, technology-driven organization that prioritizes employee development and work-life balance.

Last updated 3 months ago

Responsibilities For Data Engineer (Entry Level)

  • Build infrastructure for optimal extraction, transformation, and loading of data from various sources
  • Work with AWS Cloud on Data Integration with Apache Spark, EMR, Glue, Kafka, Kinesis and Lambda
  • Design, develop, test, deploy, maintain and improve data integration pipeline
  • Develop pipeline objects using Apache Spark / Pyspark / Python or Scala
  • Design and develop data pipeline architectures using Hadoop, Spark and related AWS Services
  • Load and performance test data pipelines

Requirements For Data Engineer (Entry Level)

Python
MongoDB
Kubernetes
  • Bachelor or Master's degree in Computer Science, or related field
  • 2-5 years of hands-on professional work experience with cloud computing platforms (AWS, Azure, GCP)
  • Hands-on experience using Python is required
  • Proficiency in SQL and NoSQL databases
  • Working experience on ETL pipeline implementation using AWS services
  • Experience with data processing frameworks and tools
  • Knowledge or experience in data modeling and data architecture principles
  • Strong problem solving and troubleshooting skills

Benefits For Data Engineer (Entry Level)

Medical Insurance
Dental Insurance
Vision Insurance
401k
Mental Health Assistance
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Unlimited Paid Time Off
  • Short Term & Long Term Disability
  • Employee Assistance Program
  • Training & Development
  • Work From Home
  • Bonus Program

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