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Data Engineer with Python, Bigdata & Google Cloud Platform Technologies (Cloud Run, DataProc, BigQuery. Data Engineer with Python, Bigdata & Google Cloud Platform Technologies (Cloud Run, DataProc, BigQuery (Only W2 role & strictly no C2C Accepted) 3.13.
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Hands-on experience in GCP, Cloud Composer, BigQuery, and Looker. Experience with Big Data on GCP BigQuery, Pub/Sub, Dataproc, Dataflow. Strong experience in performance tuning of BigQuery SQL scripts.
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Keywords: Python, SQL, BigQuery, SQLDBM, Airflow, Data warehousing. Proficiency in Python, Airflow, SQL, BigQuery, and other relevant technologies and databases. Guide the team in utilizing key tools like BigQuery, SQLDBM, Airflow, etc.
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Proven experience in data engineering roles with a strong track record in designing, implementing, and maintaining Data Warehouses, particularly on the Google Cloud Platform and BigQuery. In this role, you will be responsible for designing, implementing, and maintaining a robust Data Warehouse on the Google Cloud Platform (GCP) with a primary focus on Google BigQuery.
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They are imminently seeking a Data Engineering Manager to join their team and manage data infrastructure design, development, and maintenance. Are you a Data Engineering Manager eager to leverage your expertise and experience for a meaningful cause.
$150,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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This role will primarily focus on Looker and BigQuery, and the ideal candidate will have a strong background in data engineering, SQL, and data modeling. 3-4 years of experience in data engineering and working with Looker and BigQuery.
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Hands on experience with GCP AI services including Vertex AI, BigQuery ML, Cloud AutoML, and TensorFlow. Lead the design and development of AI solutions that address specific business challenges, utilizing GCP AI services such as Vertex AI, BigQuery ML, Cloud AutoML, and TensorFlow.
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You will be utilizing data visualization using Google Data Studio and will be responsible for data engineering and architecture using BigQuery. Responsible for data engineering and architecture using BigQuery.
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Experience with Google Cloud Platform tools (BigQuery, Cloud Functions, Logging, Cloud IAM, Pub/Sub, Cloud Scheduler, Cloud Storage). The Senior Data Engineer will be responsible for creating and maintaining data pipelines between Google BigQuery and vended or UCR hosted sources in support of a campus wide data warehouse initiative.
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Active contributor to one or more infrastructure software such as Snowflake, CockroachDB, Oracle RDBMS, Google BigQuery, Spanner, Redshift, Aurora, Cosmos DB, MySQL, PostgreSQL, Hudi, Delta Lake, Iceberg, Ray, Spark, Flink, Kafka, Redis, ElasticSearch, etc.
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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery. Tech stack: BigQuery , any ETL tool (Informatica, Talend, DataStage), Dataflow, Dataproc.
Full-timeExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
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Minimum 8 years of experience designing, building, and operationalizing large-scale enterprise data solutions and applications using GCP data and analytics services alongside 3rd party tools (Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/Composer, BigTable, Cloud BigQuery, Cloud Pub/Sub, Cloud Storage, Cloud Functions, & Github.
$115,500ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Job Title - Data Scientist (Python, SQL, Spark, Databricks, BigQuery, MongoDB, Tableau, PowerBI, DataStudio) Demonstrated competency in using data-access technologies such as SQL, Spark, Databricks, BigQuery, MongoDB, etc.
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Familiarity with Big Data technologies (BigQuery, Hadoop, Spark, Cassandra etc.) Big Data technologies (BigQuery, Hadoop, Spark, Cassandra etc.) Develop, maintain and manage advanced reporting, analytics, dashboards and other BI solutions primarily in, but not limited to Oracle, Power BI, nice to have Tableau, Looker, MicroStrategy etc.
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Experience with GCP technologies such as BigQuery, GKE, GCS, DataFlow, Kubeflow, and/or VertexAI. Advanced working SQL knowledge and experience working with relational databases, as well as working familiarity with a variety of databases, preferably BigQuery, MySql, and MongoDB.
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