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W2, Big Data Engineer

Digital iTechnology
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W2 Position – Apply only if You Are Open to Working on W2!

Position: Big Data Engineer
Location: Phoenix, AZ (On-site)
Rate: $45 - $50/hr (Depending on experience)
Contract: W2

Visa Eligibility: OPT EAD (Not STEM OPT), H4 EAD, USC (GC candidates may be considered if the profile is strong).

Job Description

We are seeking a highly skilled Big Data Engineer to join our team and help build robust and scalable data solutions. The ideal candidate will have a strong foundation in data engineering principles and a proven track record of designing, developing, and implementing big data pipelines.

Responsibilities:

  • Design, develop, and maintain scalable data pipelines using Spark, SQL, and other big data technologies.
  • Extract, transform, and load (ETL) data from various sources into data warehouses and data lakes.
  • Optimize data pipelines for performance and efficiency.
  • Develop and implement data quality checks and monitoring processes.
  • Collaborate with data analysts and data scientists to understand data requirements and translate them into technical specifications.
  • Troubleshoot and resolve data-related issues.
  • Stay up to date with the latest big data technologies and trends.

Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 4+ years of experience in Big Data Engineering.
  • Strong hands-on experience with Spark for data processing and analysis.
  • Proficiency in SQL for data querying and manipulation.
  • Strong Experience with data warehousing and data lake concepts.
  • Knowledge of Python or Scala is a plus.
  • Strong Experience with cloud platform, GCP is preferred.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.

Preferred Skills:

  • Experience with data ingestion tools (Kafka, Flume).
  • Knowledge of data modeling and schema design.
  • Experience with data visualization tools (Tableau, Power BI).
  • Understanding of machine learning and AI concepts.

If you're a passionate data engineer eager to work on cutting-edge big data solutions, we encourage you to apply!