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Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar) Experience using developer-oriented data pipeline and workflow orchestration (e.g., Airflow (preferred), dbt, dagster or similar.
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Keywords : GCP, Google Cloud Platform, BigQuery, Composer, SQL, Python, Data Engineering, Data Pipelines. Experience working with GCP technologies like BigQuery, Composer, GCS, DataStream, Dataflows.
$130,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with SQL and cloud technologies like Snowflake, Google BigQuery, Databricks, presto etc., Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse.
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Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed. Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake, Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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Background in Data Engineering, 5+ years of experience building and maintaining scalable data infrastructure, including distributed processing solutions (e.g. Spark), cloud-based data lakes and warehouses (e.g. Databricks, Snowflake, BigQuery), workflow management (e.g. Airflow, Luigi), and data transformation tools (e.g. DBT.
$159,400 - $210,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with streaming / data processing technologies such as Beam, Spark, Kafka, Airflow, HBase, Presto. Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Dataproc/EMR, Cloud Function/Lambda, BigQuery/Athena, BigTable/Dynamo.
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Experience designing and developing big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others. Experience designing and developing big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others.
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Experience with an MFT tool (IBM Sterling File Gateway, Axway SecureTransport, Globalscape, or others). 5+ years experience designing and developing microservices using Java, SpringBoot, GCP SDKs, GKE/Kubernetes.
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Our back-end needs to be scalable, robust, and secure to handle large amounts of event data and analytical processing on the modern data stack (Snowflake/BigQuery/Redshift, Airflow etc. ( Preferred) Experience with Data Engineering tools: We use Beam (Scio) on top of Dataflow and BigQuery.
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Experience with Databricks and BigQuery preferred. 5+ years of experience with cloud data technologies including Snowflake, AWS, spark, Apache Airflow. Experience with Databricks and BigQuery preferred.
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Our Technological Stack includes Airflow, DBT, Python, Snowflake, AWS, GCP, Amplitude, Fivetran, and more. Experience with data warehouse solutions (like BigQuery/ Redshift/ Snowflake) Experience developing data pipelines with Airflow or equivalent code-based orchestration software.
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Airflow, Spark, dbt, Terraform, Tableau, MySQL, Elasticsearch. Notre environnement technique: Google Cloud Platform (BigQuery, GCS, Vertex AI, etc.) Vous avez déjà travaillé sur une solution Cloud Data Warehouse (BigQuery, Snowflake, Redshift, etc.
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Experience working with cloud-based data warehouses like Snowflake, Redshift, or BigQuery. Working with dbt, Snowflake, Airflow, Python, Stitch, and git, and we welcome new ideas. Experience with data transformation tooling (dbt is preferred), data pipeline services like Stitch and Fivetran, and orchestration tools like Airflow.
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Analytics Tools: Excel, Tableau, AWS, BigQuery, NoSQL,Hadoop, Spark, Airflow, Gurobi, JIRA, Stata, Git. Analytics Tools: Excel, Tableau, AWS, BigQuery, NoSQL,Hadoop, Spark, Airflow, Gurobi, JIRA, Stata, Git.
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