GCP Data Engineer
5 days ago
GCP Data Engineer (F2F Interview)
Contract
Irving, TX (Hybrid 3-4 days )
$60-65/hr. on C2C (Flexi to 2 -3 Dollar for 14+ Years of Candidates)
Years of Experience: 12+ Years of Experience
SQL: 7-10 yrs
Python/Pyspark: 7-10 yrs
GCP, Big Query, Cloud DataProc: 5 yrs
Soft Skill: 10 yrs
Technical Skills : SQL, Python, PySpark, GCP, BigQuery, Cloud Dataproc, Cloud Composer, Cloud Dataflow
Technical Skills : Teradata/Oracle, Informatica/ AbInitio/ Datastage, Hadoop, Hive, Apache Spark, Cloud Pub/Sub, Cloud Spanner, Cloud SQL, Data Fusion
Roles & Responsibilities :
- Work with implementation teams from concept to operations, providing deep technical subject matter expertise for successfully deploying large scale data solutions in the enterprise, using modern data/analytics technologies on premise and cloud.
- Work with data team to efficiently use Google Cloud platform to analyze data, build data models, and generate reports/visualizations.
- Integrate massive datasets from multiple data sources for data modelling.
- Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product management.
- Design pipelines and architectures for data processing. Create and maintain machine learning and statistical models. Extract, Load, Transform, clean, and validate data.
- Active Google Cloud Data Engineer Certification Hands on in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Python, Pyspark, Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & Github.
- Minimum of 7 year of designing and building production data pipelines from data ingestion to consumption within a hybrid big data architecture, using Cloud Native GCP, Python, SQL etc.
- Minimum 7 year of hands-on GCP experience with a minimum of an end to end solution designed and implemented at production scale.
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