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Minimum 5 Years of GCP experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc Minimum 2 years of experience in development using Data warehousing, Big Data Eco System Hive (Hql) & Oozie Scheduler, ETL IBM Data Stage, Informatica IICS with Teradata 1 Year experience of deploying google cloud services using Terraform.
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Experience designing and deploying large scale distributed data processing systems with few technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Teradata, Tableau, Qlik or Other.
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Minimum 2 years of experience in development using Data warehousing, Big Data Eco System Hive (Hql) & Oozie Scheduler, ETL IBM Data Stage, Informatica IICS with Teradata 1 Year experience of deploying google cloud services using Terraform.
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Design and build production data engineering solutions to deliver our pipeline patterns using Google Cloud Platform (GCP) services: o BigQuery, DataFlow (Apache Beam), Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Composer (Apache Airflow), Cloud SQL, Compute Engine, Cloud Functions, and App Engine.
$45 - $50 an hourFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Experience migrating Teradata to GCP - Experience working with Airflow for scheduling and orchestration of data pipelines. GCP Professional Data Engineer Certified. Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles.
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Minimum 2 years of experience in development using Data warehousing, Big Data Eco System Hive (Hql) & Oozie Scheduler, ETL IBM Data Stage, Informatica IICS with Teradata. Role: Google Cloud Platform Data Engineer.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Develop a comprehensive migration strategy for our data infrastructure and workloads to Google Cloud Platform Handle complex migrations from legacy Teradata warehousing solutions or on-prem Hadoop/Hive to Big Query in Google Cloud Platform Implement Cloud based solutions based on various Google Cloud Platform services and technologies such as BigQuery, Dataflow, Dataproc, Bigtable, Dataform, Data fusion, cloud spanner, Cloud SQL, Cloud functions and Cloud scheduler.
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GDIA Data Engineer Job Description A position is open for a data engineer in the GDI&A Customer 360. BigQuery, DataFlow (Apache Beam), Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Composer (Apache Airflow), Cloud SQL, Compute Engine, Cloud Functions, and App Engine.
$60 - $68 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are seeking a Data Engineer with expertise in developing data solutions on Google Cloud Platform (GCP). Proficiency in Airflow for data pipeline scheduling. As a Subject Matter Expert in Data Engineering, your focus will be on leveraging GCPs native services and integrated third-party technologies.
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A position is open for a data engineer. Minimum 5 Years of GCP experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc.
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A position is open for a data engineer in the GDI&A Customer 360. Design and build production data engineering solutions to deliver our pipeline patterns using Google Cloud Platform (GCP) services: BigQuery, DataFlow (Apache Beam), Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Composer (Apache Airflow), Cloud SQL, Compute Engine, Cloud Functions, and App Engine.
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Role: GCP Data Engineer. Minimum 2 Years of Experience in data engineering pipelines/ building data warehouse systems with ability to understand ETL principles and write complex sql queries.
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Develop a comprehensive migration strategy for our data infrastructure and workloads to GCP Handle complex migrations from legacy Teradata warehousing solutions or on-prem Hadoop/Hive to Big Query in GCP Implement Cloud based solutions based on various GCP services and technologies such as BigQuery, Dataflow, Dataproc, Bigtable, Dataform, Data fusion, cloud spanner, Cloud SQL, Cloud functions and Cloud scheduler.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Develop a comprehensive migration strategy for our data infrastructure, waving goodbye to legacy Teradata warehousing solutions and on-prem Hadoop/Hive, and saying hello to the enchanted land of Big Query in GCP.
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Proficiency in ETL (Extract, Transform, Load) processes across a variety of database technologies including RDBMS (e.g., MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (e.g., Google BigQuery, AWS Redshift, Teradata, Snowflake), and NoSQL databases (e.g., MongoDB, AWS DynamoDB, Cassandra), demonstrating an in-depth understanding of data storage, retrieval, and management practices.
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teradata data engineer jobs in Dearborn, MI
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