Data Engineer (Google Data Engineering)

Data Engineer (Google Data Engineering)

Atlanta, GA

Responsibilities:

Design and build scalable data pipelines for large structured & unstructured datasets

Perform data ingestion, cleaning, transformation, and validation

Develop data models and support analytics, BI, and machine learning use cases

Implement data quality checks and optimize data processing workflows

Work with data science & BI teams for reporting and insights

Build and maintain data infrastructure on cloud platforms

Handle streaming data using Kafka/Spark

Mentor junior engineers and lead data engineering initiatives

Required Skills:

7+ years IT experience, 5+ years in Data Engineering/ETL

Strong experience with Big Data tools: Spark, Hadoop, Hive, Kafka

Hands-on with Databricks (Delta Lake, Notebooks, DLT, Unity Catalog)

Strong SQL + PySpark/Spark SQL

Experience in data pipeline development & optimization

Cloud experience: GCP / AWS / Azure

Knowledge of streaming (Kafka, Spark Streaming)

Agile (Scrum/Kanban) experience