Data Engineer- Full Time Role

Maveric Systems LimitedIrving, TX, US

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Key Responsibilities :

Design, develop, and maintain scalable ETL pipelines using PySpark on Hadoop or Cloudera Data Platform (CDP)
Implement data ingestion from various sources (databases, APIs, file systems) into data lakes or warehouses.

Data Transformation & Processing

Cleanse, transform, and enrich large datasets using PySpark.

Optimize Spark jobs for performance and resource efficiency.

Data Quality & Monitoring

Implement validation checks and monitoring to ensure data accuracy and reliability.

Troubleshoot and resolve data pipeline issues in real-time.

Automation & Orchestration

Automate workflows using tools like Apache Oozie Airflow , or similar.

Schedule and monitor batch jobs and data refresh cycles.

Work closely with data scientists, analysts, and product teams to understand data needs.

Document data flows, pipeline configurations, and engineering processes.

Required Skills & Qualifications :

Bachelor's or Master's degree in Computer Science, Information Systems, or related field.

4+ years of experience in data engineering roles.

Strong hands-on experience with PySpark Hadoop Hive HDFS , and Cloudera

Proficiency in SQL Python , and data modeling

Experience with data warehousing ETL frameworks , and big data ecosystems

Familiarity with data governance security , and compliance standards.

Preferred Skills :

Experience with cloud platforms (AWS, Azure, or GCP).

Knowledge of Kafka HBase Apache NiFi , or Delta Lake

Exposure to machine learning pipelines or GenAI integration is a plus.

Strong problem-solving and communication skills.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

J-18808-Ljbffr

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Data Engineer • Irving, TX, US

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