GCP Cloud Engineer with Big Data Expertise
5 days ago
About the Role
We are seeking an experienced GCP Data Engineer to join our team at Quantiphi. In this role, you will design and develop scalable data systems on Google Cloud Platform.
Key Responsibilities:
- Design and implement data pipelines using GCP services such as BigQuery, Dataflow, and Pub/Sub.
- Develop and maintain large-scale data processing applications using Python, Java, or other languages.
- Collaborate with cross-functional teams to integrate data into cloud-based solutions.
- Analyze and troubleshoot data-related issues to ensure optimal system performance.
Requirements:
- 4-16 years of experience in data engineering with a focus on GCP services.
- Proficient knowledge of GCP databases including Bigtable, Spanner, CloudSQL, and AlloyDB.
- Hands-on experience with cloud platforms and services like AWS RDS, Azure SQL Database, and NoSQL databases like MongoDB, Scylla, Cassandra, or DynamoDB.
- Strong understanding of database concepts, technologies, and performance tuning techniques.
- Familiarity with big data/Hadoop distributions like Cloudera, Hortonworks, MapR, Azure HDInsight, IBM Open platform, Kafka, Hive, Spark, etc.
Preferred Qualifications:
- GCP Dataflow, Pub/Sub, Cloud Composer, BigQuery, Cloud Run, CloudBuild.
- Programming knowledge and hands-on experience with Python, Java.
- Experience with streaming technologies like PubSub or Kafka or equivalent.
Estimated Salary: ₹ 12,00,000 - ₹ 25,00,000 per annum, depending on location (Mumbai/Bangalore/Trivandrum). This salary estimate is based on industry standards for similar roles in India.
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