Technical Lead(GCP Data Engineer)

10 - 16 years

20 - 30 Lacs

Posted:1 month ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Experience Level: 10 to 12 years of relevant IT experience

Key Responsibilities:

Design, develop, test, and maintain scalable ETL data pipelines using Python.

Architect the enterprise solutions with various technologies like Kafka, multi-cloud services, auto-scaling using GKE, Load balancers, APIGEE proxy API management, DBT, using LLMs as needed in the solution, redaction of sensitive information, DLP (Data Loss Prevention) etc.

Work extensively on Google Cloud Platform (GCP) services such as:

Dataflow for real-time and batch data processing

Cloud Functions for lightweight serverless compute

BigQuery for data warehousing and analytics

Cloud Composer for orchestration of data workflows (on Apache Airflow)

Google Cloud Storage (GCS) for managing data at scale

IAM for access control and security

Cloud Run for containerized applications Should have experience in the following areas :

API framework: Python FastAPI

Processing engine: Apache Spark

Messaging and streaming data processing: Kafka

Storage: MongoDB, Redis/Bigtable

Orchestration: Airflow

Experience in deployments in GKE, Cloud Run.

Perform data ingestion from various sources and apply transformation and cleansing logic to ensure high-quality data delivery.

Implement and enforce data quality checks, validation rules, and monitoring.

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