Data Engineer

Cloud Analytics Technologies, LLC; Irving (TX); Presencial; USD 120.000 - 160.000; Jornada completa

Descripción de la vacante

Cloud Analytics Technologies, LLC is seeking an experienced Data Engineer to support large-scale data modernization, migration, and analytics initiatives. You will design and optimize data pipelines using Spark and Python, and work with Oracle-based platforms and cloud analytics solutions.

The role focuses on building ETL/ELT pipelines, tuning Spark jobs, and integrating Oracle GoldenGate, Kafka, and CDC for enterprise-scale data ingestion.

Formación

• 8+ years of experience in Data Engineering or related roles.
• Hands-on expertise with Apache Spark (PySpark/Scala) and Python.
• Deep understanding of Oracle databases supporting OLAP and data warehousing.
• Experience tuning Spark applications, SQL queries, and large-scale ETL/ELT workloads.
• Strong SQL and data modeling skills.
• Experience with Oracle GoldenGate, CDC, or similar integration tech.

Responsabilidades

• Design, develop, and optimize large-scale data processing solutions using Apache Spark (PySpark/Scala) and Python.
• Build and maintain scalable ETL/ELT pipelines for analytical workloads.
• Optimize query performance, Spark jobs, and end-to-end data processing pipelines for high-volume workloads.
• Design data integration using Oracle GoldenGate, Kafka, and CDC frameworks.
• Collaborate with application, data, and analytics teams to develop scalable data models and processing frameworks.
• Drive performance tuning initiatives across Oracle, Spark, and distributed data processing environments.

Conocimientos

Spark

Python

SQL

Data modeling

Oracle DBs

Kafka

Herramientas

Oracle GoldenGate

CDC

Descripción del empleo

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

We are seeking an experiencedData Engineer with deep expertise in Oracle-based analytical platforms and Apache Spark to support large-scale data modernization, migration, and analytics initiatives. The ideal candidate will have hands-on experience building high-performance data pipelines, optimizing large-scale data processing workloads, and integrating enterprise data platforms with modern cloud analytics solutions.

Key Responsibilities:

• Design, develop, and optimize large-scale data processing solutions using Apache Spark (PySpark/Scala) and Python.
• Build and maintain scalable ETL/ELT pipelines for analytical and reporting workloads.
• Optimize query performance, Spark jobs, and end-to-end data processing pipelines for high-volume batch and near real-time workloads.
• Design and implement data integration, replication, and ingestion solutions using technologies such as Oracle GoldenGate, Kafka, and CDC frameworks.
• Collaborate with application, data, and analytics teams to develop scalable data models and processing frameworks.
• Drive performance tuning initiatives across Oracle, Spark, and distributed data processing environments.

Required Qualifications

• 8+ years of experience in Data Engineering or related roles.
• Strong hands-on experience with Apache Spark (PySpark and/or Scala) and Python.
• Deep understanding of Oracle databases supporting OLAP, data warehousing, and analytical workloads.
• Proven experience tuning and optimizing:
  • Spark applications and execution plans
  • Complex SQL queries
  • Large-scale ETL/ELT processes
  • High-volume batch processing workloads
• Strong SQL and data modeling skills.
• Experience with Oracle GoldenGate, CDC, or enterprise-scale data integration technologies.

Preferred Qualifications:

• Experience with Oracle Exadata and large-scale Oracle analytics platforms.
• Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataproc, Cloud Storage, Pub/Sub, and Dataflow.
• Experience integrating Oracle with cloud data platforms, data lakes, Kafka, Hadoop, or BigQuery.
• Experience with Azure, OCI, or multi-cloud data architectures.
• Experience supporting large-scale data migration and modernization programs.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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