Design, build, and optimize scalable data platforms for enterprise analytics and data-driven decision-making. Develop modern batch and real-time data processing solutions, cloud-based data infrastructure, and high-performance data pipelines. Requires 10+ years of Data Engineering experience with strong expertise in Apache Spark and Python.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Duration: 6+ months
Location: 100% REMOTE
*** U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor or transfer visas at this time. ***
*** No Vendors/3rd parties. ***
We are seeking an experienced Senior Data Engineer to design, build, and optimize scalable data platforms that support enterprise analytics and data-driven decision-making. This role is responsible for developing modern batch and real-time data processing solutions, cloud-based data infrastructure, and high-performance data pipelines that enable reliable, efficient, and secure data operations.
Requirements:- 10+ years of Data Engineering experience.
- Strong expertise in Apache Spark and Python.
- Experience building scalable ETL pipelines and distributed data processing systems.
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- Design, develop, and maintain scalable batch and real-time data processing pipelines.
- Build high-performance, fault-tolerant data processing systems using technologies such as Apache Spark, Apache Flink, Apache Druid, or similar frameworks.
- Develop and optimize Extract, Transform, Load (ETL) pipelines and data models supporting analytics and reporting.
- Write and optimize complex SQL queries for large-scale data analysis.
- Build and maintain cloud-based data warehousing and data infrastructure solutions.
- Collaborate with cross-functional teams to integrate data from multiple sources while ensuring data quality, consistency, and reliability.
- Monitor, troubleshoot, and optimize pipeline performance, scalability, and operational efficiency.
- Evaluate and implement modern data engineering best practices and emerging technologies.
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