Data Engineer (google Data Engineering)
Tekgence
Atlanta, Georgia, US
About the Role
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
Required Skills
data pipelines
data engineering
ETL
Spark
Kafka
Keywords
Data Engineer
Google Data Engineering
ETL
Big Data
Cloud
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