PySpark Consultant

VDart; Irving (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

VDart is seeking a PySpark Consultant with minimum 6+ years of experience for a full-time role in Irving, TX. The role focuses on building and maintaining PySpark-based ETL pipelines, ensuring data quality, and optimizing distributed data workflows.

Strong coding skills in Python and SQL, plus experience with Hadoop, Hive, and Kafka, are essential to succeed. You will lead data processing efforts, document code lineage, and collaborate with data ingestion and analytics teams while adhering to

Qualifications

• +4+ years of experience in big data development, Hadoop, Hive & Spark framework.
• Strong Python, PySpark Development and SQL knowledge.
• Certification in big data or cloud technologies is preferred.
• Experience with SAS is a plus.

Responsibilities

• Design, develop and optimize PySpark ETL pipelines.
• Ensure data quality and integrity across data processing workflows.
• Troubleshoot and resolve issues in PySpark applications and workflows.
• Understand source data, dependencies and data flow from converted PySpark code.
• Integrate PySpark code with frameworks such as Ingestion Framework, DataLens, etc.
• Ensure compliance with data security, privacy regulations, and organizational standards.

Skills

PySpark

Python

SQL

Hadoop

Hive

Kafka

Data Warehousing

CI/CD

DevOps

Leadership

Communication

Tools

Hadoop

Hive

Kafka

Job description

Role : PySpark Consultant ( Minimum 6+ years )

Location : Irving, TX

Job Type : Full-time only.

Job Description :

• Experience with big data processing and distributed computing systems like Spark.
• Implement ETL pipelines and data transformation processes.
• Ensure data quality and integrity in all data processing workflows.
• Troubleshoot and resolve issues related to PySpark applications and workflows.
• Understand source, dependencies and data flow from converted PySpark code.
• Strong programming skills in Python and SQL.
• Experience with big data technologies like Hadoop, Hive, and Kafka.
• Understanding of data warehousing concepts and relational databases like SQL.
• Demonstrate and document code lineage.
• Integrate PySpark code with frameworks such as Ingestion Framework, DataLens, etc.,
• Ensure compliance with data security, privacy regulations, and organizational standards.
• Knowledge of CI/CD pipelines and DevOps practices.
• Strong problem-solving and analytical skills.
• Excellent communication and leadership abilities. Qualifications:
• 4+ years of experience in big data development, Hadoop , Hive & Spark framework.
• Good to have experience in SAS.
• Strong Python, PySpark Development and SQL knowledge.
• Certification in big data or cloud technologies is preferred.