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Data Engineer Python, SQL, DBT
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Data Engineer Python, SQL, DBT
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Job Description
Strong experience in Python, SQL, and DBT. Experience with Snowflake data platform. Strong understanding of Data Warehousing and ETL concepts. Exposure to data modeling and performance optimization.
Develop ETL/ELT data pipelines using Python and SQL. Build and maintain DBT transformation models. Design and optimize Snowflake-based data solutions. Ensure data quality, validation, and governance. Support cloud-based analytics and reporting initiatives.
Airflow, Azure Data Factory, AWS, or GCP. Snowflake certification. CI/CD and DevOps practices for data engineering.
Develop ETL/ELT data pipelines using Python and SQL. Build and maintain DBT transformation models. Design and optimize Snowflake-based data solutions. Ensure data quality, validation, and governance. Support cloud-based analytics and reporting initiatives.
Airflow, Azure Data Factory, AWS, or GCP. Snowflake certification. CI/CD and DevOps practices for data engineering.
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Key Skills
About Company
Skills:
snowflake , Ms Sql Server, Kafka, Zabbix, Linux Operating System, Ms Azure, Jenkins, Appdynamics, Elasticsearch, Mulesoft, Splunk, Python, Etl, Mule Management Console, Data management services, SaaS Cloud Azure, ESB middleware components, Active MQ Message Broker
Skills:
AWS - Infrastructure Security, Programming Languages - Java, Springboot, Cloud Security, SQL Server, Database Technologies, Foundational, AWS Systems Manager, Technology, PLM Production Support process, Maintenance and Production Support process, MS SQL Server Admin
Skills:
Regression Testing, Cloud, Etl Testing, Sql, Software QA Engineering, Testing and Reporting Documentation
Skills:
Data Modelling, Power Bi, Data Warehousing, Python, Sql, Sap Bw, Etl