Senior Data Engineer

Overview

Hybrid
$75 - $85
Contract - Independent
Contract - W2
Contract - 12 Month(s)
50% Travel

Skills

Amazon Web Services
Apache Kafka
Apache Spark
Java
Google Cloud Platform
Python
Kubernetes
Airflow
Spark
Trino
Kafka
SQL
Google Cloud
Data Engineering

Job Details

Job Description -

Senior Data Engineer Location:

Cupertino, CA

Interview : Assure to go face To face Duration : Long Term
Must Have: Python, SQL, and Airflow Nice to Have: Java or Scala, or Spark, Trino, Kafka, or Kubernetes

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Job Overview
We are seeking an experienced and detail-oriented Senior Data Engineer to join a high-impact business development and strategy team. This role is ideal for a data-driven individual who enjoys solving complex business problems and thrives in a fast-paced, evolving environment. You will be instrumental in building and optimizing scalable data solutions that empower leadership to make data-informed decisions quickly and confidently.


Required Qualifications

  • 6+ years of software/data engineering experience with a strong focus on SQL and data systems.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Hands-on experience with data orchestration and processing tools like Airflow, Spark, Trino, and Kafka.
  • Proven ability to analyze complex datasets and implement high-quality, efficient solutions.
  • Familiarity with SDLC best practices, version control systems, and CI/CD pipelines.

Preferred Qualifications

  • Bachelor s or Master s degree in Computer Science, Engineering, or a related technical field.
  • Experience with cloud platforms such as AWS, Google Cloud Platform (Google Cloud Platform), or Azure for data infrastructure and storage.
  • Familiarity with Infrastructure as Code (IaC) tools like Terraform.
  • Understanding of container orchestration tools such as Kubernetes.
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About eGrove Systems Corporation