About Zetta:
Zetta Global is a visionary Information Technology and Consultancy services company headquartered in Houston TX. We specialize in advanced technology solutions AI-driven innovations intelligent operations and strategic IT consulting. Through our proprietary approach Zetta Harmony we seamlessly blend creativity artificial intelligence and technology to deliver transformative value and unlock limitless possibilities for our clients worldwide.
Overview:
As a Data Engineer you will be responsible for developing constructing testing and maintaining architectures such as databases and large-scale processing systems.
Requirements
Responsibilities:
Refine and enhance ETL processes using Apache Spark for efficient data handling.
Utilize Python and PySpark to perform complex data processing tasks.
Assess and understand business objectives to align data solutions effectively.
Analyze data to identify trends and patterns providing actionable insights.
Conduct in-depth data analysis and generate comprehensive reports on findings.
Prepare data for prescriptive and predictive modeling to support business decision-making.
Design and develop algorithms and prototypes for data analysis and processing.
Integrate raw data from diverse sources into cohesive datasets.
Implement and manage Redis for enhanced caching performance.
Continuously explore and implement methods to improve data accuracy and reliability.
Identify and acquire new data sources to enhance data repositories.
Develop and maintain analytical tools and programs to facilitate data analysis.
Work closely with data scientists architects and other stakeholders on various projects.
Lead the migration efforts of existing data to new data warehouse infrastructures.
Qualifications:
Degree in Computer Science Information Technology or a related field; a masters degree is a plus.
Relevant certifications such as IBM Certified Data Engineer Google Professional Data Engineer are highly desirable.
3 years of Proven experience as a data engineer or in a similar role with a strong track record of successful data projects.
In-depth knowledge of data models data mining and segmentation techniques.
Advanced skills in Python and PySpark for data processing and analysis.
Hands-on experience with SQL database design including T-SQL stored procedures and query optimization.
Experience with Postgree and MongoDB
Proficiency in implementing and managing Redis for caching and high-performance data retrieval.
Proficiency with big data technologies such as Hadoop Hive Apache Ecosystem and Kafka.
Experience with cloud platforms like Google Cloud for data storage and processing.
Strong numerical and analytical skills with the ability to interpret complex data sets.
Excellent communication skills with the ability to collaborate effectively with cross-functional teams.
Strong problem-solving skills with a proactive approach to identifying and addressing data-related challenges.
Benefits
Key Benefits:
Zetta is proud to be an equal opportunity workplace. We are committed to equal employment opportunities regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability gender identity or Veteran status. See also Zettas EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation please let us know.
About Zetta: Zetta Global is a visionary Information Technology and Consultancy services company headquartered in Houston TX. We specialize in advanced technology solutions AI-driven innovations intelligent operations and strategic IT consulting. Through our proprietary approach Zetta Harmony we sea...
About Zetta:
Zetta Global is a visionary Information Technology and Consultancy services company headquartered in Houston TX. We specialize in advanced technology solutions AI-driven innovations intelligent operations and strategic IT consulting. Through our proprietary approach Zetta Harmony we seamlessly blend creativity artificial intelligence and technology to deliver transformative value and unlock limitless possibilities for our clients worldwide.
Overview:
As a Data Engineer you will be responsible for developing constructing testing and maintaining architectures such as databases and large-scale processing systems.
Requirements
Responsibilities:
Refine and enhance ETL processes using Apache Spark for efficient data handling.
Utilize Python and PySpark to perform complex data processing tasks.
Assess and understand business objectives to align data solutions effectively.
Analyze data to identify trends and patterns providing actionable insights.
Conduct in-depth data analysis and generate comprehensive reports on findings.
Prepare data for prescriptive and predictive modeling to support business decision-making.
Design and develop algorithms and prototypes for data analysis and processing.
Integrate raw data from diverse sources into cohesive datasets.
Implement and manage Redis for enhanced caching performance.
Continuously explore and implement methods to improve data accuracy and reliability.
Identify and acquire new data sources to enhance data repositories.
Develop and maintain analytical tools and programs to facilitate data analysis.
Work closely with data scientists architects and other stakeholders on various projects.
Lead the migration efforts of existing data to new data warehouse infrastructures.
Qualifications:
Degree in Computer Science Information Technology or a related field; a masters degree is a plus.
Relevant certifications such as IBM Certified Data Engineer Google Professional Data Engineer are highly desirable.
3 years of Proven experience as a data engineer or in a similar role with a strong track record of successful data projects.
In-depth knowledge of data models data mining and segmentation techniques.
Advanced skills in Python and PySpark for data processing and analysis.
Hands-on experience with SQL database design including T-SQL stored procedures and query optimization.
Experience with Postgree and MongoDB
Proficiency in implementing and managing Redis for caching and high-performance data retrieval.
Proficiency with big data technologies such as Hadoop Hive Apache Ecosystem and Kafka.
Experience with cloud platforms like Google Cloud for data storage and processing.
Strong numerical and analytical skills with the ability to interpret complex data sets.
Excellent communication skills with the ability to collaborate effectively with cross-functional teams.
Strong problem-solving skills with a proactive approach to identifying and addressing data-related challenges.
Benefits
Key Benefits:
Zetta is proud to be an equal opportunity workplace. We are committed to equal employment opportunities regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability gender identity or Veteran status. See also Zettas EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation please let us know.
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