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As a Data Engineering Team Lead at Dealer Tire, you will lead a highly skilled team of innovative data professionals who are responsible for designing and implementing our company and enterprise data lakes in Snowflake, datasets/data models in Power BI, and the ETL/ELT pipelines that feed our business and analytical systems.
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Undergraduate degree with 10+ years of Data Engineering experience with specific ETL Tools (e.g., DBT, Informatica, Data Stage, etc.) Bachelor of Engineering degree with 5-10+ years of Data Engineering experience with pertinent ETL tools (e.g., DBT, Informatica, Data Stage, etc.
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8+ years data engineering experience focused on Snowflake, Databricks, Kafka, AWS Glue, Airflow, and AWS services. Design and build data pipelines: Design, develop, and implement data pipelines using Kafka, Airflow, AWS Glue, Python, and Lambda functions to ingest, transform, and load data into Snowflake.
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Experience with cloud-based data warehousing platforms such as Synapse, AWS Redshift, Google BigQuery, or Snowflake. Mentor and train other data engineers on best practices for data engineering and Databricks usage.
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5+ years in a pivotal Software/Data Engineering role, with deep exposure to modern data stacks, particularly Snowflake, Airflow, dbt, and AWS data services. Lead architectural design sessions for the modern data stack, focusing on solutions that seamlessly integrate with our technology stack, which encompasses Snowflake, Airflow, dbt, Great Expectations, and AWS data services.
$145,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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Knowledge of Hyperscale SQL Server and Snowflake Data engineering best practices around data modelling, evaluation, deployment, and governance. 3+ years of Snowflake development experience in Data Engineering and architecting, building, and demonstrating data solutions.
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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, Snowflake, AWS. Center 3 (19075), United States of America, McLean, VirginiaSenior Manager, Data Engineering - Capital One Software (Remote Eligible.
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1- 3-year minimum professional experience in cloud data engineering and science and associated technologies utilizing cloud data platforms such as Databricks, AWS RedShift, and Snowflake.
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Cloud Data Tools: Snowflake, Databricks, Delta Lake. Supervises and coaches junior data engineering support personnel and provides guidance and direction to third party contract developers to deliver fast and reliable data for advanced analytics solutioning.
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This role demands a strong technology leader with a deep understanding of data engineering technologies and practices, including hands-on experience with leading platforms like Databricks and Snowflake, and a solid grasp of the Azure Databricks platform for scalable data analytics solutions.
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Data Engineering and Integration: Snowflake, DBT, HighTouch, AirByte, Postman. Using your software engineering expertise, you will lead the development of our clinical laboratory large-scale next generation DNA sequencing analysis pipelines.
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) Implementing ETL processes, moving data between systems including S3, Snowflake, Kafka, and Spark.
$130,000 - $220,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Data platform architecture, system design, and platform engineering of Azure cloud infrastructure, ADLS Gen2, ADF, Event Hub, Kafka, Databricks, SQL Server and Snowflake. automate export/import metadata to and from the Data Governance platform.
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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). 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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