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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and support distributed and large-scale data processing systems on Google Cloud Platform (GCP).
Develop batch and streaming data pipelines using GCP tools such as BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Cloud Composer.
Lead feature teams and manage client interactions to deliver data engineering outcomes.
Minimum Requirements
8-12 years of hands-on experience in GCP Data Engineering with distributed systems and large-scale data processing.
Strong coding/scripting skills in Python, SQL (complex queries mandatory), Java, Scala or Go.
Experience with GCP data products (BigQuery, Dataflow, Pub/Sub, Cloud Composer), Apache Kafka, and distributed frameworks like Spark, Flink, Beam or Hadoop.
Work Experience Required: 8-12 years; Location: Bangalore, Hyderabad, Chennai.
Ideal Candidate Profile
Proven ability to lead feature teams and handle client engagements in data engineering projects.
Strong expertise in designing, coding, and operating batch and real-time streaming pipelines on GCP.
Experience with containerization (Docker, Kubernetes), CI/CD tools (Jenkins, GitHub, Spinnaker), and cloud platforms (GCP preferred, Azure/AWS also acceptable).