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Raag Solutions LLC.

Irving / Global

Senior Data Engineer - Big Data

Job Description

Description Seeking Senior Data Engineer - Big Data to join our Information Technology team in Irving. This full-time, on-site position offers an exciting opportunity to architect and build large-scale data solutions that power critical business insights and drive innovation across our technology platforms.

As a Senior Data Engineer specializing in Big Data, you will be responsible for designing, developing, and maintaining robust data pipelines and infrastructure that handle massive volumes of data. You will work closely with data scientists, analysts, and engineering teams to deliver scalable solutions that align with our clients' strategic objectives and industry best practices.

Banking Industry or Financial Industry preferred.

Responsibilities Design and implement scalable big data pipelines and architectures

Develop and maintain ETL processes for large-scale data integration

Optimize data storage and retrieval performance across distributed systems

Collaborate with data scientists and analysts to support data-driven initiatives

Build and manage data warehousing solutions and data lakes

Ensure data quality, integrity, and security across all platforms

Monitor and troubleshoot data pipeline performance and reliability

Implement best practices for data governance and compliance

Mentor junior engineers and share technical expertise

Stay current with emerging big data technologies and trends

Participate in code reviews and technical architecture discussions

Document data engineering processes and system designs

Requirements Bachelor's degree in Computer Science, Engineering, or related field

5+ years of experience in data engineering or related roles

Proficiency in big data technologies such as Hadoop, Spark, and Kafka

Strong experience with SQL and NoSQL databases

Experience with cloud platforms and distributed computing

Proficiency in programming languages such as Python, Java, or Scala

Strong understanding of data modeling and warehouse design principles

Excellent problem-solving and analytical skills

Strong communication and collaboration abilities

Experience with agile development methodologies

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