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Senior Big Data Engineering Expert
4 weeks ago
We're seeking an experienced Senior Big Data Engineer to join our team at AEXONIC TECHNOLOGIES PRIVATE LIMITED. As a key member of our data engineering team, you'll be responsible for designing and developing scalable data pipelines on Google Cloud Platform (GCP).
About the RoleThe successful candidate will have extensive experience in Big Data technologies, including Hadoop, Hive, PySpark, and BigQuery. They'll be responsible for architecting data solutions that ensure data quality and integrity, as well as collaborating with cross-functional teams to meet business needs.
This is an exciting opportunity to join a dynamic team 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: $180,000 - $230,000 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.