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The ideal candidate will have expertise in cloud technologies, particularly Google BigQuery, dbt, and Looker along with working experience in onPrem systems such as Teradata, SAP, OR HANA. Communicates analytical findings, including through reports, briefings, presentations, and data visualization.
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MPP Data Warehouse Platforms: Azure Synapse (SQL DW), Amazon Redshift, Snowflake, Teradata, Azure Data Lake. The Senior Data Engineer will be part of the team to review, analyze, modify, and create ETLs, testing, debugging, integration and implementation processes.
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Insight Global is looking for a talented and experienced Data Engineer with strong implementation skills in AWS cloud, Teradata, Python, and expertise in health insurance data domain knowledge.
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Job Title: GCP & Teradata - Sr. Data Engineer. Experience in building high-performing data processing frameworks leveraging Google Cloud Platform and Teradata. Experience in performing ETL and data engineering work by leveraging multiple google cloud components using Dataflow, Data Proc, BigQuery.
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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Experience working with RDBMS s, Sql Server, Redshift, Snowflake, BigQuery, Teradata or Azure SQL -Data Warehouse Experience using Powershell and Python. 8 years of rich experience in AWS cloud data and analytics space with solid understanding of Data warehousing product RedShift, ETL product Matillion and SQL and 3+years with other ETL/Data integration tools and other Databases will be preferred.
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Our data engineering tech stack is primarily AWS running Spark/Scala within Databricks. Experience with at least one of the major DBMS products (we use Snowflake but we welcome candidates with experience in Redshift, SQL Server, Teradata.
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The Data Engineering Manager is responsible for managing, coaching and mentoring a team of data engineers that will build data pipelines and data warehouse solutions to support business analytics.
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Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora, DynamoDB, Cosmos, MongoDB, Cassandra. Develop reports using modern data visualization tools and best practices to surface valuable insights to end-users.
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Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata) This role provides you with a broad platform to build partnerships with business and risk counterparts, a vantage point to explore end-to-end data ecosystems and technologies, and ability to co-develop data solutions for GRM that drive the greatest value across the organization.
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Experience with multiple database technologies (Oracle, SQL server, Teradata, MongoDB, Cassandra, MarkLogic, DynamoDB, Amazon Aurora etc.) Experience with Big Data architectures, data lakes and big data ecosystem of tools (Hadoop, Spark, Hive, Storm, Cloudera, Hbase, HDFS, AWS stack etc.
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Exposure to at least two database platforms, such as Oracle, Teradata, Snowflake, AWS RDS/Redshift or MS SQL. Exposure to at least two integration platforms, such as Informatica, DataStage, Kafka, Oracle Data Integrator (ODI), etc.
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Understanding of large Data Warehouse of such as Snowflake, Teradata, Redshift or BigQuery. As a Lead Data Architect, you will be responsible for designing automated, highly available, and elegant solutions for Big Data platforms focusing on Snowflake, Starburst/Trino/Presto, AWS Data Services and related products and technologies.
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5+ years of experience designing, building, and supporting real-time and batch data pipeline and analytical solutions with Hadoop (Hive, Kafka, Spark, Spark Streaming, HBase) and Teradata, ETL tools like Informatica, Talend, Data Fusion, Python/Java, Oracle/Exadata.
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SKill: Big Data Architect, Cloudera Big Data Tool stack (Hive ,Impala, OoZie), Pyspark, Teradata, Shell Script, Unix programing, Hadoop. Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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teradata data engineer jobs Company: Ford Motor Company
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