Data Engineer (TXS38FT RM 3741)

Position: Data Engineer (TXS38FT RM 3741)

Job Description:
As a Data Engineer on our team, you will work on our Hadoop-based data warehouse, contributing to scalable and reliable big data solutions for analytics and business insights. This is a hands-on role focused on building, optimizing, and maintaining large data pipelines and warehouse infrastructure.

Key Responsibilities

• Design, develop, and maintain robust data pipelines in Hadoop and related ecosystems, ensuring data reliability, scalability, and performance.
• Implement data ETL processes for batch and streaming analytics requirements.
• Optimize and troubleshoot distributed systems for ingestion, storage, and processing.
• Collaborate with data engineers, analysts, and platform engineers to align solutions with business needs.
• Ensure data security, integrity, and compliance throughout the infrastructure.
• Maintain documentation and contribute to architecture reviews.
• Participate in incident response and operational excellence initiatives for the data warehouse.
• Continuously learn mindset and apply new Hadoop ecosystem tools and data technologies.

Required Skills and Experience

• Proficiency in Hadoop ecosystems such as Spark, HDFS, Hive, Iceberg, Spark SQL.
• Extensive experience with Apache Kafka, Apache Flink, and other relevant streaming technologies.
• Proven ability to design and implement automated data pipelines and materialized views.
• Proficiency in Python, Unix or similar languages.
• Good understanding of SQL oracle, SQL server or similar languages.
• Ops & CI/CD: Monitoring (Prometheus/Grafana), logging, pipelines (Jenkins/GitHub Actions).
• Core Engineering: Data structures/algorithms, testing (JUnit/pytest), Git, clean code.
• 3 – 8 years of directly applicable experience
• BS in Computer Science, Engineering, or equivalent experience.

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