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Required 10 Years Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL, Azure Synapse Required 5 Years Hands-on experience in SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL Required 10 Years Hands-on experience in Azure SQL Database, Azure SQL Datawarehouse Required 7 Years Hands-on experience in deploying and maintaining large-scale data processing pipelines.
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Mandatory: Azure, Medallion Architecture, SQL, Databricks, Data Lake. Expertise in Databricks, Apache Spark, and big data technologies. Implement data security, governance, and compliance measures within Databricks using Unity Catalog.
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Extensive experience with Databricks, including Spark SQL, MLlib, and Delta Lake. Certifications: AWS Certified Solutions Architect (Associate or Professional) and Databricks certifications are highly desirable.
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Experience with Big Query, SQL server, etc. Knowledge: Python, Bash scripting, PySpark, AWS Services (Airflow, Glue, Lambda, others), Terraform, Databricks. Knowledge of Databricks and Datalake technologies.
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Experience building Azure enterprise systems using Databricks and Snowflake. Relevant certifications (e.g., Azure, Databricks, Snowflake, etc. Extensive experience working with Databricks and Azure Data Factory for data lake and data warehouse solutions.
$85 an hourFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Hands-on experience with Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure SQL Database, etc. Design, develop, and maintain data pipelines in Azure for ingesting, transforming, and loading data from various sources into centralized Azure data lakes and Databricks Delta Lake. Ensure data quality and integrity throughout the process.
$202,500 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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ETL tools Teradata, MS SQL Server, Data Transformation Services, Oracle SQL Developer, SQL Server Integration Service (SSIS), ADF, DataStage, Azure Synapse. Reporting tools SQL Server Reporting Services (SSRS), Power BI Additional Databases: Azure SQL Database, SQL Server Analysis Service (SSAS), EDW, EDL DevOps, Azure Blob, Azure Data Lake, Synapse, AWS, S3, GCP, Azure Functions.
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2) Migrating data from various sources including Teradata, Oracle, SQL Server, and Salesforce using Azure Data Factory and Azure Databricks onto Snowflake. Develop ETL pipelines in and out of data warehouse using combination of Python and Snowflake’s SnowSQL.Design and develop data movements using Snowflake capabilities like Snow SQL, Tasks, Streams, Time travel, Data sharing and stored procedures.
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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Identify and analyze new fraud detection features using SQL, Databricks, and Python. Familiarity with AWS, GCP, Databricks, Github, Airflow and Looker. High proficiency in SQL and Python.
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Manage privileges over the entire Databricks account, as well as at the workspace level, Unity Catalog level and SQL warehouse level. · Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Experience in SQL and NoSQL, such as MySQL, PostgreSQL, Cassandra, HBase, Redis, DynamoDB, Neo4j, etc.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design scalable patterns and architecture to support both batch and real-time data products & platform using big data technologies such as Hadoop, SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies.
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Data Platforms: Teradata, Couchbase, MongoDB, Oracle, SQL Server, ADLS, Snowflake. 5 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
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Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies such as Apache Hadoop, Spark, Kafka, and others. Proficiency in SQL and experience with relational databases.
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databricks hadoop sql server jobs Company: Dice
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