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GCP Data Engineer

Full-time

Talent Groups

Job Description

  • Python, Pyspark, GCP, ETL - Big Data/Data Warehousing, Data Analytics, SQL, Git (GitHub, Git Lab, Bit Bucket, SVN)
  • 5+ years of hands-on software development experience with Big Data & Analytics solutions GCP Cloud - Big Query, Airflow, DataProc, PubSub, Hadoop Hive, Spark, Python, shell scripting, Strong experience in designing, developing, and optimizing data pipelines for large-scale data processing, transformation, and analysis using Big Data and GCP technologies.
  • Proficiency in SQL and database systems, with experience in designing and optimizing data models for performance and scalability.
  • Experience of building event processing pipelines with Kafka or GCP PubSub.
  • Design and development experience with Airflow, PubSub Kafka, Git, Jenkins is desirable. Knowledge of distributed (multi-tiered) systems, algorithms & relational databases.
  • Strong Object-Oriented Programming skills and design patterns.
  • Experience with CICD pipelines, Automated test frameworks, and source code management tools (XLR, Jenkins, Git).
  • established for Big Data Looks proactively beyond the obvious for continuous improvement opportunities.
  • Communicates effectively with product and cross functional team. Willingness to learn new technologies and leverage them to their optimal potential. Understanding of various SDLC methodologies, familiarity with Agile & scrum ceremonies.
  • Certifications in cloud platform (GCP Professional Data Engineer) is a plus.

Vacancy posted 5 days ago
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