Aexonic - Senior Big Data Engineer - Google Cloud Platform
4 hours ago
Key Responsibilities :
- Design, develop, and optimize Big Data pipelines and workflows using Hadoop, Hive, PySpark, and Google BigQuery.
- Architect data solutions to facilitate smooth data migration and processing between on-premises systems and Google Cloud Platform (GCP).
- Create and manage Unix Shell Scripts for process automation and data handling tasks.
- Perform in-depth data analysis and work comfortably with large datasets to derive actionable insights.
- Collaborate effectively with cross-functional teams to understand data requirements and translate them into scalable data solutions.
- Ensure data quality, integrity, and security across all stages of the data lifecycle.
- Stay updated with the latest industry trends and emerging technologies to continuously improve data solutions.
Mandatory Qualifications :
- Minimum of 8 years of industry experience working with Big Data technologies.
- Proficiency in Hadoop, Hive, and PySpark for data processing.
- Strong experience with Unix Shell Scripting.
- Expertise in SQL and extracting data from multiple sources.
- Demonstrated experience in data analysis, specifically querying and analyzing large datasets on Hadoop HDFS using Hive and Spark.
- Proven experience in architecting Big Data pipelines and data solutions.
- Proficiency in Google BigQuery and migrating data pipelines to GCP.
- Exceptional communication skills for clear requirement gathering and collaboration.
Preferred Qualifications :
- Google Cloud Platform (GCP) certification.
- Professional experience with cloud hosting platforms, with a preference for GCP.
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