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Data Engineer - Google Cloud Platform

Data Engineer - Google Cloud Platform

Awign Enterprise Pvt ltdHyderabad
16 days ago
Job description

Job Title : GCP Data Engineer

Location : Chennai, Bangalore, Hyderabad, Pune- Hybrid mode

Experience : 5+ years

Employment Type : Full-time

Shift : 2pm - 11pm IST

Role Summary :

Key Responsibilities :

  • Develop and maintain ETL / ELT workflows for structured and unstructured data sources
  • Optimize BigQuery SQL queries for performance and cost efficiency
  • Build streaming data solutions using Apache Beam and Pub / Sub
  • Implement data quality checks, validation rules, and monitoring mechanisms
  • Collaborate with data architects to define data models, schemas, and partitioning strategies
  • Integrate data from various sources including APIs, flat files, relational databases, and third-party platforms
  • Automate workflows using Cloud Composer (Airflow) and CI / CD pipelines
  • Ensure data security, governance, and compliance with organizational and regulatory standards
  • Troubleshoot and resolve issues related to data ingestion, transformation, and availability
  • Document technical designs, data flows, and operational procedures

Required Skills and Qualifications :

  • 5+ years of experience in data engineering.
  • Strong proficiency in Python, Pyspark, SQL , and optionally Java or Scala
  • Hands-on experience with BigQuery , Dataflow , Dataproc , Pub / Sub, and Cloud Storage
  • Experience with Apache Beam, Spark, or Hadoop for large-scale data processing
  • Familiarity with Cloud Composer (Airflow) for orchestration
  • Knowledge of data warehousing, data lakes, and dimensional modeling
  • Experience with CI / CD tools like Jenkins, GitHub Actions , or Cloud Build
  • Excellent problem-solving, communication, and stakeholder management skills
  • Preferred Qualifications :

  • GCP Professional Data Engineer Certification
  • Experience with machine learning pipelines or data science workflows
  • Familiarity with Looker, Tableau, or Power BI for data visualization
  • Exposure to Kafka, Snowflake, or other cloud platforms (AWS, Azure)
  • Experience in healthcare, finance, or retail domains is a plus
  • (ref : hirist.tech)

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