Technical Lead (Support & Operations)
About this role
Job Summary
Strong experience in DBT (Data Build Tool).
• Expert SQL development skills.
• Experience with Spark SQL / Trino / Presto.
• Strong understanding of Data Warehousing concepts.
• Experience in Dimensional Modelling (Star/Snowflake Schema).
• Airflow workflow orchestration.
• Git/Bitbucket version control.
• Performance tuning and query optimization.
• Big Data architecture and implementation.
• Data Quality and Reconciliation frameworks.
Database Technologies
• Oracle
• Hive
• Spark
BI & Visualization
Hands-on experience with:
• Metabase
• Tableau
Key Responsibilities
Strong experience in DBT (Data Build Tool).
• Expert SQL development skills.
• Experience with Spark SQL / Trino / Presto.
• Strong understanding of Data Warehousing concepts.
• Experience in Dimensional Modelling (Star/Snowflake Schema).
• Airflow workflow orchestration.
• Git/Bitbucket version control.
• Performance tuning and query optimization.
• Big Data architecture and implementation.
• Data Quality and Reconciliation frameworks.
Database Technologies
• Oracle
• Hive
• Spark
BI & Visualization
Hands-on experience with:
• Metabase
• Tableau
Skill Requirements
Strong experience in DBT (Data Build Tool).
• Expert SQL development skills.
• Experience with Spark SQL / Trino / Presto.
• Strong understanding of Data Warehousing concepts.
• Experience in Dimensional Modelling (Star/Snowflake Schema).
• Airflow workflow orchestration.
• Git/Bitbucket version control.
• Performance tuning and query optimization.
• Big Data architecture and implementation.
• Data Quality and Reconciliation frameworks.
Database Technologies
• Oracle
• Hive
• Spark
BI & Visualization
Hands-on experience with:
• Metabase
• Tableau
Other Requirements
Strong experience in DBT (Data Build Tool).
• Expert SQL development skills.
• Experience with Spark SQL / Trino / Presto.
• Strong understanding of Data Warehousing concepts.
• Experience in Dimensional Modelling (Star/Snowflake Schema).
• Airflow workflow orchestration.
• Git/Bitbucket version control.
• Performance tuning and query optimization.
• Big Data architecture and implementation.
• Data Quality and Reconciliation frameworks.
Database Technologies
• Oracle
• Hive
• Spark
BI & Visualization
Hands-on experience with:
• Metabase
• Tableau
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