Data Engineer with GCP & Scala - Only W2

Location: Bentonville, AR (Onsite from Day 1)

Job Type: W2 Contract

Only W2 - No C2C (or) Third-party candidates

Mandatory Areas

Must Have Skills – Data Engineer with Scala

Scala, Spark, Python, SQL, Bigdata, Hadoop

GCP data tools: BigQuery, Dataproc, Vertex AI, Pub/Sub, Cloud Functions

PySpark, Python, SparkSQL, and data modeling

Total IT Experience – Minimum 8 Years

GCP - 4 + years of recent GCP experience

Description

We are seeking a Data Engineer with Spark & SCALA.Streaming skills builds real-time, scalable data pipelines using tools like Spark, Kafka, and cloud services (GCP) to ingest, transform, and deliver data for analytics and ML.

Responsibilities

• As a Senior Data Engineer, you will Design, develop, and maintain ETL/ELT data pipelines for batch and real-time data ingestion, transformation, and loading using Spark (PySpark/Scala) and streaming technologies (Kafka, Flink).
• Build and optimize scalable data architectures, including data lakes, data warehouses (BigQuery), and streaming platforms.
• Performance Tuning: Optimize Spark jobs, SQL queries, and data processing workflows for speed, efficiency, and cost-effectiveness
• Data Quality: Implement data quality checks, monitoring, and alerting systems to ensure data accuracy and consistency.

• Programming: Strong proficiency in Python, SQL, and potentially Scala/Java.
• Big Data: Expertise in Apache Spark (Spark SQL, DataFrames, Streaming).
• Streaming: Experience with messaging queues like Apache Kafka, or Pub/Sub.
• Cloud: Familiarity with GCP, Azure data services.
• Databases: Knowledge of data warehousing (Snowflake, Redshift) and NoSQL databases.
• Tools: Experience with Airflow, Databricks, Docker, Kubernetes is a plus.