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Our tech stack includes Databricks, Snowflake, AWS, R, Python, SQL, and JMP. You are familiar with Spark for cloud-based computing (e.g., Sparklyr, PySpark) and working with data stored on AWS S3 and Snowflake.
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Designing, Developing, Testing, and Implementing custom-developed Data Pipeline solutions for clients using a cloud-native technical stack such as AWS, Azure, or GCP; Snowflake, or BigQuery; Tableau, PowerBI, or Looker.
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You will develop custom Snowflake SQL queries to access IDEXX diagnostic and medical data and apply scripted methods (R and Python) to conduct descriptive and statistical analysis. An innovation expert in every industry we serve, we follow our Purpose and Core Values to help pet owners worldwide keep their companion animals healthy and happy, to ensure safe drinking water for billions, and to help farmers protect livestock and poultry from disease.
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We are heavily dependent on Snowflake, Airflow, Fivetran, dbt , Tableau for our business intelligence and embrace AWS as a key partner across our engineering teams. Strong expertise in designing and building scalable data pipelines, ETL processes, and analytics solutions using AWS services (e.g., S3, Glue, Lambda) , ETL tools [ e.g., Qlik, Firetran, Informatica IICS] and Snowflake.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Significant professional experience in ETL / ELT using cloud-based databases at scale, such as MySQL, Postgres, BigQuery, Redshift, and/or Snowflake. Experience with the tools we use, like AWS (including Glue and Lambda), Redshift, Data Build Tool (DBT), Snowflake, and Docker - plus experience with tools we dont use, but should, and the wisdom to know when to recommend them.
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The successful candidate will have extensive (typically 10 years) of technical experience, along with a record of success in leading and facilitating technology transformations to cloud services such as Azure, AWS, and GCP. This person should also have proven experience working in an Agile Scrum environment with data engineering solutions like Snowflake, Databricks, and modern database solutions for cloud environments.
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Our core stack for this position consists of dbt, Snowflake, Python, Airflow, Docker, Qlik Replicate, Fivetran, and several AWS services. Advanced SQL skills (3+ years) and understanding of query optimization strategies in Snowflake.
$100 an hourExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 5+ years of data warehousing experience (Redshift or Snowflake.
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4+ years of data warehousing experience (Redshift or Snowflake) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of data warehousing experience (Redshift or Snowflake.
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Knowledge of tools like Tableau and Snowflake is a must. An innovation leader in every industry we serve, we follow our Purpose and Guiding Principles to help pet owners worldwide keep their companion animals healthy and happy, to ensure safe drinking water for billions, and to help farmers protect livestock and poultry from disease.
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Familiarity with cloud databases, such as CosmosDB and AWS, and cloud data warehouses and lakes, such as Snowflake. Familiarity with cloud databases, such as CosmosDB and AWS, and cloud data warehouses and lakes, such as Snowflake.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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As an integral part of our team, you will not only need to tackle operational challenges at every layer of the system infrastructure, but also set up essential tools like Spark, Databricks, Snowflake, Kubernetes, and Kafka for data science infrastructure.
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Expertise in data storage technologies such as relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), data warehouses (e.g., Snowflake, Redshift), and data lakes (e.g., Amazon S3, Azure Data Lake Storage.
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Improve scalability and performance of the platform through integration with big data frameworks (Databricks, Snowflake, etc. Our patented technology is based on over 11 years of research at the California Institute of Technology and NASA Jet Propulsion Laboratory.
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Data Warehousing Guru: Familiarity with data warehousing solutions like ClickHouse, Redshift, BigQuery, or Snowflake for efficient data storage and retrieval. Data Warehousing Guru: Familiarity with data warehousing solutions like ClickHouse, Redshift, BigQuery, or Snowflake for efficient data storage and retrieval.
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snowflake job in Portland, ME
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