Job Description : ">
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- Data Engineering and Architecture
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ETL Process Development and Maintenance">
Data Integration and Documentation">
Data Validation, UAT, and Regression Testing">
Data Modeling, Schema Design, and Optimization">
Data Pipelines Development and Management">
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Requirements and Skills :
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Proficiency in Python, Pyspark, SQL, Hadoop, Hive, Azure, Databricks, and Greenplum">
Experience in writing Pyspark scripts for developing data workflows">
Strong communication skills with stakeholders and business teams">
Ability to establish comprehensive data quality test cases and procedures">
Degree in Data Science, Statistics, Computer Science, or related fields">
4-7 years of experience in Data Engineering with proficiency in programming languages commonly used in data engineering">
Experience in Azure cloud computing platform">
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Benefits and Opportunities :
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Opportunity to work on complex ETL processes and data architectures">
Chance to develop and maintain data integration and documentation">
Role in leading data validation, UAT, and regression testing">
Participation in data modeling, schema design, and optimization">
Development and management of data pipelines">
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