Google Cloud Platform Data Engineer

Overview Job Title:

Sr. Google Cloud Platform Data Engineer

Location:

Atlanta, GA / Ashburn, VA (Hybrid 2-3days/week in office)

Duration:

12 Months

Required Qualifications

Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation

ETL development experience with strong SQL background, analyze huge data sets, trends and issues, and create structured outputs.

Experience in building high-performing data processing frameworks leveraging Google Cloud Platform

Experience in building data pipelines supporting both batch and real-time streams to enable data collection, storage, processing, transformation and aggregation.

Experience in utilizing Google Cloud Platform Services like Big Query, Composer, Dataflow, Pub-Sub, Cloud Monitoring

Experience in performing ETL and data engineering work by leveraging multiple google cloud components using Dataflow, Data Proc, BigQuery

Experience in scheduling like Airflow, Cloud Composer etc.

Experience in Hadoop Big data ecosystem

Spark – Batch & Streaming (Python, Scala )

Apache Kafka hands on experience

Experience in developing both

++batch and real-time streaming data pipelines++

Python/Shell scripting

Nice to have Qualifications

Strong understanding towards Kubernetes, Docker containers and to deploy Google Cloud Platform services is a plus

Knowledge of Scrum/Agile development methodologies is a plus

Any experience with Spark, PySpark, or Kafka is a plus

Data analysis / Data mapping skills is a plus

Knowledge in data manipulation JSON and XML

Technical Skills Google Cloud Platform Services:

DataFlow, BigQuery, Cloud Storage, DataProc, Airflow, Composer, Pub/Sub and Memorystore/Redis

Programming languages:

Java, Python

Database:

Teradata, BigQuery/BigTable

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