Google Cloud Data Engineer
3 days ago
We are hiring a Google Cloud Data Engineer
Work Mode: Hybrid
Locations: Bengaluru, Hyderabad, Mumbai, Kolkata
Shift Timings: General (11 to 8 PM)
Open positions: 15
Experience: 4 -6 Years
Notice Period: Immediate to 15 days
Experience: Associate (3+ years)
Minimum Degree Required: Bachelor's degree in Engineering
Preferred Knowledge/Skills
- 3+ years of experience in data engineering or architecture with an emphasis on data analytics and reporting
- Experience in using GCP services to analyze data, build data models and generate visualizations
- 3+ years of experience in design and development of large scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker and Cloud IAM
- 3+ year of experience in big data technologies and tools such as Spark/PySpark, Hadoop, Hive, Kafka
- Experience building data processing pipelines to integrate large datasets from multiple sources and formats
- Experience designing and developing data pipelines from ingestion to consumption within big data architecture using Python, Java, SQL etc.
- Experience in designing and implementing solutions across various Cloud services such as GCE, GKE, cloud run, BigQuery, Dataproc, Dataflow, Dataplex, CloudSQL, Cloudspanner, Looker etc.
- Experience with building data pipelines in streaming and batch mode
- Experience with database management, migration and transformation to cloud native DBs like Cloud SQL, Spanner, etc.
- Implementing cloud data solutions in the context of business applications, cost optimization, client’s strategic needs and future growth goals as it relates to becoming a ‘data driven’ organization
- Understanding of emerging technologies and latest cloud providers (GCP, Azure & AWS) services & solutions
- Use an analytical and data driven approach to drive a deep understanding of fast changing business
- Experience in development using message queues (cloud pub sub), stream processing, highly available and fault tolerant techniques
- Experience in roles conducting requirements gathering, writing user stories and creating design
- Expert level skills in writing and optimizing SQL
- Good understanding of data warehousing concepts, architectural best practices, design patterns and performance tuning
- Proficiency in using GCP SDKs for interacting with native services
- Experience with Git and CI/CD pipelines
- Excellent communication skills with the ability to influence client business and IT teams
- Ability to work independently and across multiple teams
- Developing thought leadership materials and being recognized in the Information Technology industry as a credible participant in the digital and cloud dialogue
Please let me know if you are interested in this position and send me the resumes to
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