Lead Data Engineer- Databricks Certified (Remote)

Overview

Remote
Up to $90
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

Data Engineer
Data Engineering
Databricks
Data bricks
Big Data
Cloud Data Engineer
Cloud Data Engineering
AWS
Azure
GCP
Databricks certification
SQL
Python
ETL
data
Big Data Technologies
Hadoop
Spark
Databricks implementations
Amazon Web Services
Apache Hadoop
Apache Spark
Extract
Transform
Load
Data Storage
High-level Design
Cloud Computing
Continuous Integration
Continuous Delivery
Microsoft Azure
Software Development
Data Analysis
Information Technology
Requirements Elicitation
CI/CD

Job Details

Senior/Lead Data Engineer (with databricks certification)

100% REMOTE

Long-term contract role

The client is looking for a Lead or Senior Cloud Data Engineer with Databricks certification with experience working in a Big Data ecosystem. The positions will primarily be responsible for interfacing with key stakeholders and applying your technical proficiency across different stages of the Software Development Life Cycle, including Requirements Elicitation and Design. You will play an important role in creating the high-level design artifacts. You will also deliver high-quality code deliverables for a module, lead validation for all types of testing, and support activities related to implementation, transition, and warranty. You will be part of a learning culture where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Required Qualifications:
  • Candidates must be located in the USA mainland, and this position may require travel in the US.
  • Bachelor s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • All applicants authorized to work in the United States are encouraged to apply.
  • At least 7-10+ years of experience in Information Technology.
  • Data Analysis Proficiency: Skilled in analyzing data using tools like SQL and Python. Capable of assessing communication needs and evaluating the effectiveness of communication strategies
  • Agile Methodologies: Familiarity with Agile practices for managing projects.
  • ETL Process Management: Expertise in Extract, Transform, Load (ETL) processes to integrate data from various sources.
  • Big Data Technologies: Familiarity with tools like Hadoop and Spark for processing large datasets.
Preferred Qualifications:
  • Proven experience working in Databricks implementations and being certified by Databricks is required
  • At least 2 projects of experience with Databricks
  • Cloud Services Knowledge: Experience with cloud platforms (e.g., AWS, Azure) for scalable data storage and processing.
  • Stakeholder Management: Skilled in managing stakeholder expectations and feedback.
  • Business Acumen: Understanding of business processes to align projects with organizational goals.
  • CI / CD exposure
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.