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GCP Data Engineer || PAN India @ Capgemini

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Capgemini  GCP Data Engineer || PAN India

Job Description

Below is the JD :


Key Responsibilities


Architecture & System Design

  • Design and own end-to-end, scalable enterprise data architectures, including:
  • Data Lake
  • Data Mesh
  • Medallion (Bronze / Silver / Gold) architectures
  • Align data architecture decisions with long-term business goals and AI strategy
  • Select, evaluate, and standardize the enterprise data technology stack, including:
  • Cloud-native data services
  • Snowflake enterprise data warehouse
  • Databricks analytical data lake platforms

Pipeline & Infrastructure Development


  • Build, manage, and optimize complex ETL / ELT pipelines using tools such as:
  • Apache Airflow
  • Azure Data Factory
  • AWS Glue
  • Informatica
  • Design and implement real-time and near-real-time data pipelines using:
  • Apache Kafka
  • Spark Structured Streaming
  • Establish standardized data ingestion and transformation pipelines across enterprise systems
  • Ensure high-quality, timely availability of data for analytics, advanced analytics, and AI use cases

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Capgemini
Location(s): Kolkata

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Keyskills:   Data Engineering Gcp Bigquery Gcp Cloud Python Pyspark SCALA Spark

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