Remote Data Engineer – GCP, AWS & Databricks

iShare Inc; Ontario (CA); On-site; USD 96,000 - 165,000; Full time

Job summary

iShare Inc. is seeking an experienced Data Engineer to design, develop, and maintain scalable cloud-based data pipelines and platforms. You will work with GCP, AWS, Databricks, Spark, PySpark, Python, and SQL to build robust ETL/ELT solutions.

Remote position in the United States with contract employment. Responsibilities include optimizing performance, implementing security and governance, and collaborating with stakeholders on data workflows and documentation.

Qualifications

• 5+ years of professional data engineering experience.
• Strong hands-on experience with both GCP and AWS.
• Expertise in Databricks, Apache Spark, and PySpark.
• Strong programming skills in Python and SQL.
• Proven experience developing ETL/ELT pipelines and cloud data platforms.
• Experience with data warehouses, data lakes, and dimensional data modeling.
• Experience with orchestration tools such as Apache Airflow or Google Cloud Composer.
• Understanding of data security, governance, monitoring, and quality frameworks.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and cross-functional collaboration skills.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Build cloud-based data solutions using GCP and AWS services.
• Use Databricks, Apache Spark, and PySpark for large-scale data processing.
• Integrate structured, semi-structured, and unstructured data from multiple sources.
• Develop and optimize batch and real-time data-processing workflows.
• Improve pipeline performance, reliability, scalability, and cost efficiency.
• Implement data-quality checks, monitoring, security, and governance standards.
• Design and support cloud data warehouses and data lakes.
• Troubleshoot production issues and perform root‑cause analysis.
• Collaborate with data architects, analysts, application teams, and business stakeholders.
• Create and maintain technical documentation for pipelines, data models, and workflows.

Skills

GCP

AWS

Databricks

Apache Spark

PySpark

Python

SQL

ETL/ELT

Airflow

Cloud Composer

Data Warehousing

Data Lakes

Tools

Apache Airflow

Google Cloud Composer

BigQuery

S3

Redshift

Job description

iShare Inc. is seeking an experienced Data Engineer to design, develop, and maintain scalable cloud-based data pipelines and platforms. You will work with GCP, AWS, Databricks, Spark, PySpark, Python, and SQL to build robust ETL/ELT solutions.

Remote position in the United States with contract employment. Responsibilities include optimizing performance, implementing security and governance, and collaborating with stakeholders on data workflows and documentation.