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About the role
We are looking for an experienced DBT + BigQuery Developer to join our growing data engineering team. Location: Bangalore / Mumbai Experience: 59 Years Interview Process: One Face-to-Face Round Key Responsibilities - Design, develop, and maintain scalable data transformation pipelines using DBT (Data Build Tool). - Build and optimize complex SQL queries and data models in Google BigQuery (Snowflake experience is also acceptable). - Develop and maintain dimensional data models, data marts, and analytical datasets. - Implement ETL/ELT processes using DBT with Jinja templating and automated testing frameworks. - Monitor and improve database performance, query optimization, and data quality. - Work closely with client technical stakeholders and support teams in an AMS environment. - Participate in incident management, root cause analysis, and ensure adherence to SLA commitments. - Collaborate with cross-functional teams to implement best practices in version control and deployment. Required Skills Strong hands-on experience in DBT and Advanced SQL Experience With Google BigQuery (preferred) Or Snowflake Strong understanding of Data Modeling and database performance tuning Experience in implementing ETL/ELT processes using DBT, Jinja, and automated unit testing Experience working in Application Management Support (AMS) projects Positive understanding of ITIL concepts and stakeholder management Excellent communication and client coordination skills Good To Have Experience with Apache Airflow for workflow orchestration Knowledge of GitHub, CI/CD pipelines, and DevOps practices Exposure to cloud-based data engineering ecosystems Preferred Candidate Profile - 59 years of experience in Data Engineering or Analytics Engineering. - Strong problem-solving and analytical skills. - Ability to work directly with business and technical stakeholders in a fast-paced environment. Skills: bigquery,etl,dbt,data models,data engineering,database We are looking for an experienced DBT + BigQuery Developer to join our growing data engineering team. Location: Bangalore / Mumbai Experience: 59 Years Interview Process: One Face-to-Face Round Key Responsibilities - Design, develop, and maintain scalable data transformation pipelines using DBT (Data Build Tool). - Build and optimize complex SQL queries and data models in Google BigQuery (Snowflake experience is also acceptable). - Develop and maintain dimensional data models, data marts, and analytical datasets. - Implement ETL/ELT processes using DBT with Jinja templating and automated testing frameworks. - Monitor and improve database performance, query optimization, and data quality. - Work closely with client technical stakeholders and support teams in an AMS environment. - Participate in incident management, root cause analysis, and ensure adherence to SLA commitments. - Collaborate with cross-functional teams to implement best practices in version control and deployment. Required Skills Strong hands-on experience in DBT and Advanced SQL Experience With Google BigQuery (preferred) Or Snowflake Strong understanding of Data Modeling and database performance tuning Experience in implementing ETL/ELT processes using DBT, Jinja, and automated unit testing Experience working in Application Management Support (AMS) projects Positive understanding of ITIL concepts and stakeholder management Excellent communication and client coordination skills Good To Have Experience with Apache Airflow for workflow orchestration Knowledge of GitHub, CI/CD pipelines, and DevOps practices Exposure to cloud-based data engineering ecosystems Preferred Candidate Profile - 59 years of experience in Data Engineering or Analytics Engineering. - Strong problem-solving and analytical skills. - Ability to work directly with business and technical stakeholders in a fast-paced environment. Skills: bigquery,etl,dbt,data models,data engineering,database
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