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Backtrace:
File: /var/www/html/application/helpers/global_helper.php
Line: 561
Function: driver
File: /var/www/html/application/helpers/global_helper.php
Line: 594
Function: getCategories
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Function: require_once
A PHP Error was encountered
Severity: 8192
Message: Creation of dynamic property CI_Cache::$file is deprecated
Filename: libraries/Driver.php
Line Number: 188
Backtrace:
File: /var/www/html/application/helpers/global_helper.php
Line: 561
Function: driver
File: /var/www/html/application/helpers/global_helper.php
Line: 594
Function: getCategories
File: /var/www/html/application/controllers/Jobs.php
Line: 290
Function: getCategoryDetByCatId
File: /var/www/html/index.php
Line: 315
Function: require_once
A PHP Error was encountered
Severity: 8192
Message: Creation of dynamic property CI_Cache::$dummy is deprecated
Filename: libraries/Driver.php
Line Number: 188
Backtrace:
File: /var/www/html/application/helpers/global_helper.php
Line: 562
Function: get
File: /var/www/html/application/helpers/global_helper.php
Line: 594
Function: getCategories
File: /var/www/html/application/controllers/Jobs.php
Line: 290
Function: getCategoryDetByCatId
File: /var/www/html/index.php
Line: 315
Function: require_once
Senior Data Engineer with GCP
83 Days Ago
Los Angeles-CA, Atlanta-GA, Dallas-GA
Required Skills: large-scale data pipelines., BigQuery, Dataflow, Pub/Sub, GCS, Hadoop, Hive, data processing frameworks, Pig, HBase, YARN, Python, Scala, SQL, CI/CD pipelines
Job Description
Position: Senior Data Engineer
Experience: 10+ years
Location: Texas, Georgia, California
Employment Type: W2
Key Responsibilities:
- Design, develop, and maintain scalable batch and real-time data pipelines for large-scale distributed systems.
- Lead the architecture and development of robust data solutions using Google Cloud Platform (GCP).
- Work extensively with BigQuery, Dataflow, Pub/Sub, and Google Cloud Storage (GCS) for data processing and storage.
- Utilize the Hadoop Big Data Ecosystem (HDFS, Hive, Pig, HBase, YARN) for data management and analytics.
- Write efficient, scalable code using Python and Scala for data engineering and automation.
- Perform SQL-based data manipulation, transformation, and analysis to support business insights.
- Build and optimize batch and real-time streaming data pipelines.
- Ensure CI/CD pipeline integration for seamless deployment and maintenance of data applications.
- Troubleshoot performance bottlenecks and optimize data systems for efficiency.
- Mentor and lead a team of engineers, driving innovation in data engineering best practices.
Requirements:
-
10+ years of experience in designing and implementing large-scale data pipelines.
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Proficiency in GCP tools like BigQuery, Dataflow, Pub/Sub, and GCS.
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Strong hands-on experience with Hadoop, Hive, Pig, HBase, and YARN.
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Expert in Python and Scala for scripting and data engineering.
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Solid knowledge of SQL for data transformation and query optimization.
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Experience with real-time and batch data processing frameworks.
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Familiarity with CI/CD pipelines for continuous deployment and automation.
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Excellent problem-solving skills to troubleshoot complex data system issues.
-
Leadership and mentoring experience in guiding engineering teams.
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