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Python, Snowflake, dbt, EC2. This job opportunity offers a hybrid work arrangement, and we are specifically seeking candidates who are comfortable with on-site attendance in our Bay Area office three times per week and are either currently residing in or near the Bay Area or willing to relocate for on-site work.
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As a Staff Site Reliability Engineer (SRE), you will be playing a pivotal role in ensuring the reliability, scalability, and performance of our cloud-based services. Minimum 12 years experience as a Site Reliability, DevOps, or Software Engineer with proficiency in one or more high-level languages (such as Python, GoLang, Ruby, Java, or JavaScript) required.
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Expert knowledge of multiple cloud data warehouses like Snowflake or BigQuery. Design how Airbyte should present data in destinations to meet warehousing best practices. It also requires them to be highly configurable to meet different warehousing and scaling needs.
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Site Reliability Engineer (Hybrid) Experience with any of the following: Data Architecture, Elastic Search, DBT, AirHow, Palantir Foundry, Data Quality tools, Collibra, MOM, Informatica, Spark, Snowflake, Teradata, SAP Business Warehouse, Business Objects Suite.
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The role requires high technical and functional competency in the business areas of demand management, supply management and inventory, fulfillment, warehousing, master data management, and asset work & lifecycle management.
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Work with a modern data engineering stack - some pieces of ours include Airbyte, Snowflake, and Metabase. You have in-depth experience working with data warehouses (preferably Snowflake) and relational databases (preferably Postgres.
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Similar Roles in the Marke t: Looks for Infra Cloud planner for Cloud service providers such as GCP, and within SaaS companies such as Databricks and Snowflake ; Demand Planner role for Compute infrastructure.
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About the team The Swish Analytics DevSecOps and Infrastructure team is looking for an experienced Site Reliability Engineer based in Europe who will support our enterprise infrastructure during non-US hours.
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Principal Site Reliability Engineer, Datastores (ThousandEyes) Location: Area of Interest Compensation Range 219700 USD - 323500 USD Job Type Professional Networking Job Id 1422674 Who We Are The name ThousandEyes was born from two big ideas: the power to see things not ordinarily possible and the ability to collect insights from a multitude of vantage points.
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Proficiency with data/visibility tools (Looker, Snowflake); a general understanding of warehousing systems (WMS/ERP/OM). Proficiency with data/visibility tools (Looker, Snowflake); a general understanding of warehousing systems (WMS/ERP/OM.
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Blending the art and science of ecommerce merchandising, you will apply functional working knowledge and sound understanding in navigating our product-to-site pipeline and offer your cross-functional partners a strategic view point on site execution, ensuring that the category navigation experience aligns to the design intent of the product, bringing key product initiatives alive on the sight through compelling story-telling.
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Our backend tech stack is based on GCP, Go, protobufs, BigQuery and MySQL. We have built our platform from the ground up to optimize for clean data sources, and we have made numerous investments into data warehousing, streaming analytics infrastructure and offline data cleanliness.
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Navan is looking for an IT Support Engineer to join the Navan IT Support Team for our San Francisco office. Focus on the customer: As an IT Support Engineer, you are expected to be knowledgeable of customers' business and requests and use the information to drive higher levels of service and customer satisfaction.
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Experience with data warehouses like BigQuery, Databricks, Snowflake, and Postgres. Design, develop, and own robust, scalable data processing and data integration pipelines using Python, dbt, Kafka, Airflow, PySpark, SparkSQL, and REST API endpoints to ingest data from various external data sources to Data Lake. Develop testing frameworks and monitoring to improve data quality, observability, pipeline reliability, and performance Orchestrate sophisticated data flow patterns across a variety of disparate tooling.
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G Snowflake, Redshift, Hive, SQL/NoSQL, columnar storage formats) and methodologies (e. g dimensional modeling, data marts, star/snowflake schemas) You've spent 4+ years as a data engineer building core datasets and supporting business verticals as needed.
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snowflake warehousing jobs Title: site reliability engineer in San Francisco, CA
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Recruitment strategies that are weird, but actually work
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