Big Data Engineer with Pyspark

Hiring: Big Data Engineer Irving, TX

Location: Irving, Texas

Job Type: Full-Time Hybrid

Experience: 7+ Years

Visa: H-1B Transfer Candidates Welcome

Interview: Face-to-Face (F2F)

Job Description

We are looking for an experienced Big Data Engineer with 7+ years of hands-on experience in building, developing, and optimizing scalable data pipelines and distributed data processing solutions.

The ideal candidate will have strong expertise in Apache Spark, PySpark, Python/Scala, Hadoop, Hive, Kafka, SQL, and cloud-based data platforms.

️ Key Skills Required

Apache Spark & PySpark

Python and/or Scala

Hadoop, HDFS, Hive & MapReduce

Apache Kafka & Spark Streaming

SQL & Relational Databases

ETL/ELT Pipeline Development

Batch & Real-Time Data Processing

Data Lakes & Data Warehousing

Git, CI/CD & Performance Optimization

️ Cloud & Modern Data Technologies

Experience with any of the following is highly preferred:

AWS: S3, EMR, Glue, Redshift, Lambda

Azure: ADLS, Databricks, Azure Data Factory, Synapse

GCP: BigQuery, Dataproc, Cloud Storage

Databricks Snowflake Apache Airflow

What We're Looking For

Strong experience designing and maintaining scalable data pipelines.

Expertise in data ingestion, transformation, validation, and optimization.

Experience developing batch and streaming applications.

Strong troubleshooting, analytical, and problem-solving skills.

Ability to collaborate with cross-functional teams in an Agile environment.

Interested? Apply Now!

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