Data Architect Lead

21 hours ago


Ahmedabad, Gujarat, India AEXONIC TECHNOLOGIES PRIVATE LIMITED Full time

AEXONIC TECHNOLOGIES PRIVATE LIMITED seeks a seasoned Senior Big Data Engineer to lead the design and development of robust data pipelines on Google Cloud Platform (GCP). This critical role requires expertise in Hadoop, Hive, PySpark, and BigQuery.

About the Role

The ideal candidate will be responsible for architecting scalable data solutions, ensuring data quality and integrity, and collaborating with cross-functional teams. Proficiency in Unix Shell Scripting and strong experience with data analysis are essential.

This is an exceptional opportunity for a talented professional to join AEXONIC TECHNOLOGIES PRIVATE LIMITED and contribute to shaping the company's data strategy.

Key Responsibilities:
  • Design, develop, and optimize Big Data pipelines using Hadoop, Hive, PySpark, and Google BigQuery.
  • Architect data solutions to facilitate smooth data migration and processing between on-premises systems and 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.

**Estimated Salary: $175,000 - $225,000 per year**

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.


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