GCP Data Engineer

3 - 8 years

6 - 10 Lacs

Posted:7 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Overview

  • Design and implement complex ETL/ELT pipelines using PySpark and Airflow for large-scale data processing on GCP.Lead data migration initiatives, including automating the movement of Teradata tables to BigQuery, ensuring data accuracy and consistency.
  • Develop robust frameworks to streamline batch and streaming data ingestion workflows, leveraging Kafka, Dataflow, and NiFi.
  • Collaborate with data scientists to build ML-ready data layers and support analytics solutions.
  • Conduct proof of concepts (POCs) and document performance benchmarking for data throughput and velocity, ensuring optimized data workflows.
  • Enhance CI/CD pipelines using Jenkins and GitLab for efficient deployment and monitoring of data solutions.
  • Collaborate in agile teams for product development and delivery.
  • Ability to work independently and design data integrations and data quality framework.
  • Responsibilities
  • Strong proficiency in Python and SQL for data engineering tasks.
  • Strong understanding and experience with distributed computing principles and frameworks like Hadoop, Apache Spark etc.
  • Advanced experience with GCP services, including BigQuery, Dataflow, Cloud Composer (Airflow), and Dataproc.
  • Expertise in data modeling, ETL/ELT pipeline development, and workflow orchestration using Airflow DAGs.
  • Hands-on experience with data migration from legacy systems (Teradata, Hive) to cloud platforms (BigQuery).
  • Familiarity with streaming data ingestion tools like Kafka and NiFi.
  • Strong problem-solving skills and experience with performance optimization in large-scale data environments.
  • Proficiency in CI/CD tools (Jenkins, GitLab) and version control systems (Git).
  • GCP Professional Data Engineer certification.

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