DataEngineer

Overview

Remote
Depends on Experience
Full Time
Able to Provide Sponsorship

Skills

Analytics
Collaboration
Communication
Conflict Resolution
Data Architecture
Data Engineering
Data Integration
Data Manipulation
Data Modeling
Data Warehouse
Extract
Transform
Load
Modeling
Problem Solving
Python
Reporting
SQL
Snow Flake Schema
Supervision
Visualization

Job Details

Position: Data Engineer

Job Type: FTE with client

Salary- $50,000/annum USD

Location: Remote (Latam Country), Person should be able to support in EST time zone.

We help companies organize their data, turning inaccessible information into impactful business outcomes 5X faster. Our mission is to democratize data and AI capabilities for traditional enterprises that demand more but lack specialized technical resources.

Responsibilities

  • Understand and analyze client's business requirements to design and implement effective data solutions.
  • Develop and maintain robust data pipelines, ETL processes, and data warehousing solutions using SQL, Python, and dbt
  • Design and optimize data models utilizing medallion data architecture and advanced data modeling techniques to support client reporting and analytics needs.
  • Implement best practices in data engineering to ensure high-quality, reliable, and scalable data solutions.
  • Collaborate with cross-functional teams to ensure seamless data integration and visualization.
  • Proactive communications to provide project updates and address any issues or concerns..

Qualifications

  • 5+ years of experience in data engineering or analytics, with a proven track record of successfully delivering end-to-end data solutions.
  • Proficiency in SQL and Python for data manipulation, transformation, and analysis. Experience with Streamlit is highly desirable.
  • Experience with data warehouse platforms like Snowflake and Google BigQuery is highly desirable.
  • Robust understanding of medallion data architecture (Bronze, Silver, Gold layers) and advanced data modeling techniques. Extensive experience with dbt for data transformation and modeling is highly desirable.
  • Strong problem-solving skills and the ability to adapt to new challenges.
  • Excellent communication skills and the ability to proactively engage with clients.
  • Getting things done, knowing how to unblock yourself, communicating, and engaging with customers proactively with minimal supervision.
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