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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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