Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details

Back to Results

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Apply Offsite

Ekcel Technologies Inc

Py Spark Consultant

Pay: Not specified

Posted: 1 week ago

Location: Irving, TX (Onsite)

Last Updated: 2 days ago

Hours: Full-Time

Expires: 10/15/2026

Career Insights for Big Data Architect

See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.

Scorecard

Based on Texas data

Review key factors to help you decide if this role fits your goals. How is this calculated?

Were these scores useful?

What they do

A Big Data Architect develops computer infrastructure and databases needed to process large amounts of data for a company or organization. Identifies big data requirements, supports the implementation of big data platforms and designs, builds and implements database systems. Supports database administration, develops database security policies and works to prevent cyber attacks.

$120,438 / year median in Texas

-2% projected decline

Explore Career

Job Description

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.