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This role is for a Data Engineer to design and implement end-to-end data engineering solutions on Azure. The ideal candidate will be responsible for developing and optimizing data pipelines, ensuring data quality and security, and collaborating with cross-functional teams to build scalable data architectures.
Required Skills:
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Job ID: 123711575
Skills:
snowflake , Kibana, Gcp, Elasticsearch, Apache Kafka, Databricks, Azure, Sql, Python, AWS, Informatica IICS
Skills:
Power Bi, Requirement Gathering, Sql, Workspace management, Dax, Performance Optimization, Translating business problems into analytical solutions, Data Visualization Best Practices, Gateway configuration, Power BI Administration, Model size reduction, Snowflake Schema, Power BI Advanced Dashboards, Query folding, KPI design, DAX optimization, Understanding of Data Modeling, Dataset sharing, Storytelling with data, User persona design, ETL Data Transformation
Skills:
S3, Gdpr, Hadoop, Cloudformation, PostgreSQL, Apache Spark, AWS Glue, Hipaa, Informatica, Redshift, Sql, Hive, Gcp, Terraform, MySQL, Etl Tools, Talend, Oracle, Azure, Data encryption
Skills:
Sql, Databricks, Azure Data Factory, Python, Azure Synapse, Pyspark, Kafka, Spark, ADLS, Azure related data services
Skills:
Data Transformation, Data Modelling, Sql, Oracle Cloud Data Integration, ETL pipelines
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