AI Summary
We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and platforms. The ideal candidate has strong experience working with modern data processing frameworks, cloud-based data tools, and real-time streaming systems. You'll collaborate closely with analytics, engineering, and business teams to deliver reliable, high-quality data solutions.
Key Highlights
Design, develop, and maintain robust data pipelines using Python and SQL
Build and optimize batch and streaming data processing solutions using Apache Spark
Implement and orchestrate ETL/ELT pipelines using Azure Data Factory
Key Responsibilities
Design, develop, and maintain robust data pipelines using Python and SQL
Build and optimize batch and streaming data processing solutions using Apache Spark
Implement and orchestrate ETL/ELT pipelines using Azure Data Factory
Work with Kafka to support real-time data streaming and event-driven architectures
Ensure data quality, reliability, and performance across data systems
Collaborate with cross-functional teams to understand data requirements and deliver solutions
Technical Skills Required
Benefits & Perks
Remote work
W2 employment
Job Description
Job Title: Data Engineer
Location: Remote(US Based)
Job Type: W2
Note : (No H1B,CPT ,OPT)
Job Overview
We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and platforms. The ideal candidate has strong experience working with modern data processing frameworks, cloud-based data tools, and real-time streaming systems. You’ll collaborate closely with analytics, engineering, and business teams to deliver reliable, high-quality data solutions.
Key Responsibilities
- Design, develop, and maintain robust data pipelines using Python and SQL
- Build and optimize batch and streaming data processing solutions using Apache Spark
- Develop and manage data workflows in Databricks
- Implement and orchestrate ETL/ELT pipelines using Azure Data Factory
- Work with Kafka to support real-time data streaming and event-driven architectures
- Ensure data quality, reliability, and performance across data systems
- Collaborate with cross-functional teams to understand data requirements and deliver solutions
- Monitor, troubleshoot, and optimize existing data pipelines and infrastructure
Interested in remote work opportunities in Data Science? Discover Data Science Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- Strong programming experience in Python and SQL
- Hands-on experience with Apache Spark and distributed data processing
- Proficiency with Databricks for data engineering workloads
- Experience building data pipelines using Azure Data Factory
- Knowledge of real-time data streaming using Kafka
- Solid understanding of data modeling, ETL/ELT concepts, and data warehousing
- Experience working in cloud-based data environments
- Strong problem-solving and communication skills
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