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Must have hands on Snowflake, AWS and Airflow. 5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT.
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Hands-on experience working with modern cloud data lake house technologies e.g. Databricks (preferred) or Snowflake. You will also continue to contribute as a hands-on engineer.
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Minimum of 5 years of hands-on skills in Python, Apache Spark, Hive, Cassandra, Snowflake, Elastic, Lucene, DataBricks, Hadoop, Redshift, Scala, Java, or other relevant technologies in data engineering.
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Hands-on experience with Databricks and Snowflake for data engineering and analytics. NOTE: THIS POSITION IS TO JOIN AS W2 ONLY. Data Engineer with Databricks Location: Remote Duration: 6+ Months Daily Responsibilities: Design, develop, test, deploy, maintain, and improve software applications and services.
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As an Analyst with Kimley-Horn, you will benefit from hands-on experience, technical software and consulting trainings, and developmental programs geared towards growing Kimley-Horn’s future leaders.
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Hands on experience with Java, Spring Boot , Cloud ( Azure/GCP/AWS ), Kafka (or other messaging service), Memcached/Redis or any caching technologies, relational DBMS ( MySQL, Oracle etc.
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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. Hands on experience designing, building, and optimizing data pipelines, architecture for large scale data warehousing projects.
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Kimley-Horn is looking for Engineering graduates to join our Austin South, Texas (TX) office in 2025! Kimley-Horn provides ample opportunities to facilitate the best mentor relationships for you.
$101,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Kimley-Horn is looking for Engineering graduates to join our Seattle, Washington (WA) office in 2025! At Kimley-Horn, we do things differently. An ABET accredited engineering degree (Bachelors or Masters) by Summer 2025 in one of the following majors:Civil and/or Environmental EngineeringMechanical, Electrical, Biological, Biosystems, Chemical, or Agricultural EngineeringEngineering Technology.
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Must have six (6) years of experience with: Hands-on software development, data engineering, and systems architecture; Data Lake Infrastructure, Data Warehousing, and Data Analytics tools; Developing Enterprise Data Models; Data modeling, data warehousing, and building high-volume ETL/ELT pipelines; Building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
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Proficiency in modern data visualization and business intelligence tools (e.g., Tableau, Power BI, Looker), with hands-on experience in creating impactful, user-centric visualizations.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Required 10 Years Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL, Azure Synapse Required 5 Years Hands-on experience in SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL Required 10 Years Hands-on experience in Azure SQL Database, Azure SQL Datawarehouse Required 7 Years Hands-on experience in deploying and maintaining large-scale data processing pipelines.
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Hands-on experience with data monitoring and vendor operations, data collection, data-entry, data-monitoring, data-validation, discrepancy management, data-extraction, and IRB/regulatory requirements.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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hands on data engineering jobs Title: data engineer Company: Kimley Horn in CA, Australia
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