Data Engineer with Spark Streaming & GCP - Only W2

Role: Data Engineer (Python, Scala, SQL) Location: Bentonville, AR (Onsite from Day 1) Job Type: W2 Contract Note: Only W2 - No C2C (or) Third-party candidates Mandatory Areas • 8+ years of experience in Python, SQL, and potentially Scala/Java • Big Data: Expertise in Apache Spark (Spark SQL, DataFrames, Streaming). • 4+ Years in GCP Description We are seeking a Data Engineer with Spark & Streaming skills that 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 • 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. Required Skills & Qualifications • 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.