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Key Skills:
Industry: data engineering
Job Summary:
Looking for a developer with strong data analysis and data engineering experience working with Azure Databricks (PySpark and SQL), Azure Data Factory, and Power BI report development, including building pipelines, notebooks, and troubleshooting and design documentation.
Required Qualification:
Not specified
Roles and Responsibilities:
Job ID: 146950385
Skills:
data engineering , snowflake , Sql, ETL/ELT, AI/ML
Skills:
snowflake , Cassandra, Sql, Databricks, Devops, Tableau, Pyspark, Power Bi, AWS, MySQL, Python, Azure, PostgreSQL, MongoDB, Large Language Models, Dev Sec Ops
Skills:
and query tuning., and optimize Snowflake-based data warehouse solutions., • Develop and maintain modular DBT models (staging, and marts)., and Git-based workflows., and architecture teams to deliver reliable data solutions., Security & Performance Optimization ? DBT (Data Build Tool) ? Advanced SQL ? Data Modeling & Data Warehouse Architecture ? ETL / ELT Development ? Snowpipe, Streams & Tasks ? Git & CI/CD ? Unix/Linux Shell Scripting ? Control-M, Streams, Clustering, Autosys, Optimize Snowflake performance using Snowpipe, Tasks, Design, Develop, Intermediate, Build scalable ETL/ELT pipelines, Implement CI/CD pipelines, Analytics, Business, enterprise data models, including Star Schema, Snowflake Schema, and Fact/Dimension modeling, Snowflake Architecture, Airflow, or similar orchestration tools
Skills:
Data Warehousing, Designing, Snowflake Platforms, SQL Optimization, Cloud based Architectures
Skills:
Data Architecture, Etl, ELT, Sql, Oracle ODI, Data Warehouse Migration
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