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1 Priority Technology Holdings Data Engineer Job
Data Engineer
Priority Technology Holdings
posted 19d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Responsibilities:
Design and Develop complex data processes in coordination with business stakeholders to solve critical financial and operational processes.
Design and Develop ETL/ELT pipelines against traditional databases and distributed systems and to flexibly produce data back to the business and analytics teams for analysis.
Work in an agile, fail fast environment directly with business stakeholders and analysts, while recognising data reconciliation and validation requirements.
Develop data solutions in coordination with development teams across a variety of products and technologies.
Build processes that analyse and monitor data to help maintain controls - correctness, completeness and latency.
Participate in design reviews and code reviews
Work with colleagues across global locations
Troubleshoot and resolve production issues
Performance Enhancements
Required Skills & Qualifications
Programming Skills Python / PySpark / Scala
Database Skills Analytical Databases like Snowflakes / SQL
Good to have - Elastic Search , Kafka , Nifi , Jupyter Notebooks,
Good to have - Knowledge of AWS services like S3 / Glue / Athena / EMR / lambda
Requirements
Responsibilities:
Design and Develop complex data processes in coordination with business stakeholders to solve critical financial and operational processes.
Design and Develop ETL/ELT pipelines against traditional databases and distributed systems and to flexibly produce data back to the business and analytics teams for analysis.
Work in an agile, fail fast environment directly with business stakeholders and analysts, while recognising data reconciliation and validation requirements.
Develop data solutions in coordination with development teams across a variety of products and technologies.
Build processes that analyse and monitor data to help maintain controls - correctness, completeness and latency.
Participate in design reviews and code reviews
Work with colleagues across global locations
Troubleshoot and resolve production issues
Performance Enhancements
Required Skills & Qualifications
Programming Skills Python / PySpark / Scala
Database Skills Analytical Databases like Snowflakes / SQL
Good to have - Elastic Search , Kafka , Nifi , Jupyter Notebooks,
Good to have - Knowledge of AWS services like S3 / Glue / Athena / EMR / lambda
Design and Develop complex data processes in coordination with business stakeholders to solve critical financial and operational processes.
Design and Develop ETL/ELT pipelines against traditional databases and distributed systems and to flexibly produce data back to the business and analytics teams for analysis.
Work in an agile, fail fast environment directly with business stakeholders and analysts, while recognising data reconciliation and validation requirements.
Develop data solutions in coordination with development teams across a variety of products and technologies.
Build processes that analyse and monitor data to help maintain controls - correctness, completeness and latency.
Participate in design reviews and code reviews
Work with colleagues across global locations
Troubleshoot and resolve production issues
Performance Enhancements
Required Skills & Qualifications
Programming Skills Python / PySpark / Scala
Database Skills Analytical Databases like Snowflakes / SQL
Good to have - Elastic Search , Kafka , Nifi , Jupyter Notebooks,
Good to have - Knowledge of AWS services like S3 / Glue / Athena / EMR / lambda
Requirements
Responsibilities:
Design and Develop complex data processes in coordination with business stakeholders to solve critical financial and operational processes.
Design and Develop ETL/ELT pipelines against traditional databases and distributed systems and to flexibly produce data back to the business and analytics teams for analysis.
Work in an agile, fail fast environment directly with business stakeholders and analysts, while recognising data reconciliation and validation requirements.
Develop data solutions in coordination with development teams across a variety of products and technologies.
Build processes that analyse and monitor data to help maintain controls - correctness, completeness and latency.
Participate in design reviews and code reviews
Work with colleagues across global locations
Troubleshoot and resolve production issues
Performance Enhancements
Required Skills & Qualifications
Programming Skills Python / PySpark / Scala
Database Skills Analytical Databases like Snowflakes / SQL
Good to have - Elastic Search , Kafka , Nifi , Jupyter Notebooks,
Good to have - Knowledge of AWS services like S3 / Glue / Athena / EMR / lambda
Employment Type: Full Time, Permanent
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What Data Engineer at Priority Technology Holdings are saying
Data Engineer salary at Priority Technology Holdings
reported by
7
employees
with 1-4
years exp.
₹8
L/yr - ₹15
L/yr
8%
more
than the average Data Engineer Salary in India
View more details
What Priority Technology Holdings employees are saying about work life
based on 54 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Priority Technology Holdings Benefits
View more benefits
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