Data Engineer I (Remote)
Summary
Remote Data Engineer (hired via Quik Hire Staffing for a client) who builds and optimizes scalable data pipelines and infrastructure for analytics and BI. Day to day: ETL development, data quality monitoring, and pipeline troubleshooting using Python, SQL, Airflow, cloud platforms (AWS/GCP/Azure), and warehouses like Snowflake/BigQuery/Redshift.
- Role: Data Engineer I (Remote)
- Location: Remote (Work from Anywhere)
Role Overview:
We are hiring for one of our clients, seeking a Data Engineer to work on a Full-Time basis. The role focuses on building and optimizing data pipelines to ensure efficient data flow between systems. You will design, construct, load, and optimize data structures and databases. Responsibilities include integrating data from various sources to support analytics and business intelligence initiatives.
Key Responsibilities:
• Design, develop, and maintain scalable data pipelines to ingest, process, and transform large datasets.
• Build and optimize data infrastructure to support real-time and batch processing workflows.
• Collaborate with cross-functional teams to identify data requirements and ensure alignment with business goals.
• Implement data quality checks and monitoring to maintain accuracy and reliability of data assets.
• Troubleshoot and resolve issues in data pipelines, ensuring minimal downtime and maximum efficiency.
Required Skills & Qualifications:
• Proficiency in Python, SQL, and experience with data pipeline frameworks such as Apache Airflow or similar.
• Experience with cloud platforms (AWS, GCP, or Azure) and data warehousing solutions (Snowflake, BigQuery, or Redshift).
• Strong understanding of ETL processes and data modeling techniques.
• Familiarity with stream processing technologies (Kafka, Spark Streaming) is a plus.
• Ability to work independently in a remote environment with strong problem-solving skills.
More About the Opportunity:
This role offers a unique opportunity to work with a global leader in the Software Development industry, contributing to the scalability and performance of data systems that drive business decisions. The project involves building robust infrastructure to support high-volume data processing and analytics.
Equal Opportunity Employer:
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
Apply Now!