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We are seeking a skilled Data Engineer with extensive experience in DBT, Snowflake, and Azure, along with proficiency in Python and SQL. The ideal candidate will have a strong understanding of data modeling principles and a proven track record of developing robust data pipelines and architectures.
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Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
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Experience with cloud data platforms like Databricks, Snowflake, AWS, GCP or AzureAdvanced level SQL for data transformations, queries & data modelingExpertise with Git or other commonly used version control systemsStrong background with advanced data languages like Python, R or SASMust be flexible and willing to work the demands of the department which may be subject to evenings, weekends, and holidays.
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We are seeking a highly skilled and experienced GCP (Google Cloud Platform) Data Engineer with more than 6 years of expertise to join our dynamic team. The GCP Data Engineer will play a pivotal role in designing, implementing, and optimizing data solutions on Google Cloud Platform.
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We are looking for a Lead Data Engineer to design, augment and elevate the metrics used to measure our consumer facing search, recommendations, promotions, and messaging experiences. You will leverage workflow scheduling applications and data ingestion infrastructure that powers the analytics and data science behind our flagship streaming applications - Disney+, Hulu, ESPN+, and Star.
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Experience with Data Engineering practices and tools (ETL, Snowflake, Spark). Bachelor's degree in computer science, Information Systems, Software, Electrical, or Electronics Engineer, or comparable field of study, and/or equivalent work experience.
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A healthcare client of ours in the Philadelphia Center City area is looking for a Data Engineer to join their Data Science team. Minimum of 3 years of experience as a Data Engineer or a similar role, with a strong background in data processing and data pipelines.
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You will be embedded with the Engineering teams that build these experiences and be a thought and data partner throughout the product development lifecycle to ensure the right metrics are designed and engineered for each initiative.
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We are seeking a highly experienced Azure Data Engineer with a focus on Databricks, having 12 to 15 years of expertise. The ideal candidate will lead the design and development of data and analytics projects in a global setting, demonstrating proficiency in Microsoft Azure, particularly in Databricks, ADLS, Blob Storage, Data Factory, SQL Server, and Warehouses.
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Partner with Lead Architect, Data Product Manager (Product Owner) and Lead Data Integration Engineer to create strategic solutions introducing new technologies. We are seeking a highly skilled and experienced lead data engineer to join our dynamic team.
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Topgolf is seeking a Data Engineer to help drive their mission for advanced insights by building best-in-class data. Experience with common data languages (e.g., Python, Scala) and data warehouses (e.g., Redshift, BigQuery, Snowflake, Databricks.
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Develops and maintains enterprise infrastructure by creating efficient, adoptable frameworks to be used across the organization for the data operations platforms in use like Databricks, EMR, AWS services, and 3rd party monitoring tools like Monte Carlo and Datadog.
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Micro-batch streaming and continuous streaming process in Databricks for high latency, low latency and ultra-low latency of data accordingly by using inbuilt Apache spark modules. Strong hands-on expertise in building Data engineering solutions using Java, Apache Spark and Scala.
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The Data Engineer is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, data architects, and data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
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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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Title: data engineer Company: Apco Holdings
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