Remote Data Engineer Focused Scalable ETL and Client Solutions

Position: Remote Data Engineer Focused on Scalable ETL and Client Solutions
Transform enterprise data challenges as a versatile Data Engineer. Engage directly with clients while developing robust ETL pipelines and data infrastructures for effective analytics and reporting.

This position involves 5+ years of experience in data engineering with a focus on designing reliable and scalable data solutions. You will tackle high-volume data ingestion and pipeline management using cloud environments. Strong programming skills in SQL and Python are essential for success in this role.

Key Responsibilities:

• Design and build scalable ETL/ELT pipelines on cloud platforms

• Develop and manage data warehouse solutions in Google Big Query

• Implement data models and ensure optimal performance

• Collaborate with stakeholders to align technical solutions with business needs

• Monitor and optimize data infrastructure for high reliability

Requirements:

• 5+ years of data engineering experience

• Strong SQL and Python programming skills

• Experience with cloud environments like GCP, AWS, or Azure

• Knowledge of ETL pipeline orchestration tools like Databricks

• Familiarity with database systems like Mongo

DB and Elasticsearch

Shape impactful data solutions that bridge the gap between technical execution and strategic business objectives.
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