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Position requires 5+ years of experience in the following: Agile Software development methodologies utilizing Ab initio, Github, Jenkins, AWS, Big Data platform, Python, Oracle, Teradata, and Spark.
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Expert/Advanced level experience with ETL technologies, Data Streaming using integration patterns like Kafka, Spark Streaming. Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch, Databricks, etc.
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3+ years’ experience with analytics platforms and tools, such as Databricks, Snowflake, Teradata, Spark, Kafka. For numerous enterprise clients, we develop data connectors to streamline data flow from multiple sources to analytics platforms, such as Splunk, Databricks, Hadoop, or others.
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Awareness of Integration tools within Azure (Azure Data Factory (ADF), Azure Data Brick, Python, Spark SQL) Understanding of older integration is beneficial (MS SQL Server, MS SSIS, IBM DataStage, etc.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience in architecting data pipelines and solutions for streaming and batch integrations using tools/frameworks like dbt, Talend, Azure Data Factory, Spark, Spark Streaming, etc.
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Knowledge and exposure to Azure SQL DataWarehouse, Databricks or other cloud or on-premises MPP data warehousing systems (SAP HANA, Teradata, Snowflake). The experience should be with requirements gathering, SQL, Data Integration tools such as Informatica Powercenter, Microsoft SSIS, Azure ADF and Data Warehousing techniques.
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Your experience with SQL, Apache Spark and Python will serve you well in this role as you approach data transformation and integration in cloud environments. Experience with data tools & systems such as PowerBI, Teradata, Databricks, SQL Server, BigQuery.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Knowledge and exposures to Azure SQL DataWarehouse, Databricks or other cloud or on premises MPP data warehousing systems (MS APS, Teradata, Snowflake) Ensures integration of the project logical data model into the enterprise conceptual data model.
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5+ years of work experience with DB skills like SQL, SnowFlake, Amazon Redshift, MongoDB, Apache Spark, Apache Airflow, AWS cloud and Amazon S3 experience, Oracle, Teradata. Good experience in Apache Spark or Talend Administration Center or AWS Lambda, MongoDB, Informatica, SQL Server Integration Services, etc.
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Knowledge and exposures to Azure SQL Data Warehouse, Databricks or other cloud or on premises MPP data warehousing systems (SAP HANA, Teradata, Snowflake). Works with other team members and business stakeholders on complex projects and tasks to drive development of business analytics requirements and synthesize these into data integration and enterprise data access requirements that communicate a coherent message.
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Strong development experience in Spark, Py-Spark, Shell scripting, Teradata, Hive and Hadoop. Spark, Py-Spark, Shell scripting, Teradata, Hive and Hadoop. Strong experience in writing complex and effective SQLs (using Teradata SQL, Hive SQL and Spark SQL) and Stored Procedures.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Knowledge of older storage platforms (MS SQL Server, Oracle, Teradata, ERP/SAP, etc.) Power BI DAX and SQL as mandatory Knowledge of Data Modeling Patterns and Designs. Title: Data Analyst (Power BI.
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Familiarity with continuous integration & delivery tools, e.g. Jira, Git, Jenkins, Bamboo. Establishing monitoring and alert systems for data flow interruptions or corruption. Itility digital consultants are experts in data, cloud, software, and IT infrastructure.
$100,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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5 years of experience must include 4 years of experience with each of the following: (1) debugging, analysis, and software documentation; (2) Python, JVM (Java, Scala), Apache Spark, and SQL; (3) Agile methodologies and DevOps environment; (4) DB2, Sybase, Netezza, Postgresql, Mysql, Redshift, Oracle, Teradata, SQL Server, and Presto; and (5) Data Integration Patterns and Tooling including ELT/ETL, EII, Replication, Event Streaming, and Virtualization to support batch and real-time data needs.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Utilize hands-on experience with data integration and transformation frameworks, tools, and methodologies, with a particular emphasis on Snowflake. Demonstrate proficiency in programming languages like Spark (with either Python or Scala), SQL, and possess hands-on experience with databases like SQL Server, Teradata, and Synapse.
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