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Must be proficient in SQL and understand different data modeling techniques using Big Data frameworks such as Presto/Snowflake/Databricks. Experience in Cost optimization (AWS/Snowflake/Databricks) is a huge plus.
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Strong Experience with cloud-based data warehouses – e.g., Snowflake, Big Query, Synapse, RedShift, etc. In this capacity, the Data Engineer designs and develops systems for the maintenance of the business’s data warehouse, ETL processes, and business intelligence.
$83,000 - $138,200 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking an experienced Databricks Data Engineer to join our dynamic team. Certifications: Databricks Certified Data Engineer Associate certification. Proficiency in data engineering tools such as Databricks, Apache Spark, Delta Lake, MLflow, and SQL.
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5+ years in Data Warehousing, Big Data, or ETL development (preferably using AWS S3, Glue, Apache AirFlow) Experience designing, building, and maintaining data processing and transformation pipelines (AWS Glue, Apache AirFlow, dbt, Snowflake.
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SQL, Spark, Snowflake, Databricks, Big Data, AWS, and Scala or Python experience are highly preferred. As the team grows, we are looking for a savvy Senior Software Engineer to join the team and help build the next generation of Audience & Identity data platform that handles data at scale and uses state-of-the-art technologies to unlock the data's business value.
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Empresa global de capital privado especializada en outsourcing de innovación, dedicada a la prestación de servicios de desarrollo y diseño de software, modernización de aplicaciones, RPA, machine learning y Big Data, entre otros.
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As a Data Engineer , you will be part of a growth-hungry, acceleration-minded team of problem-solvers and product-builders. Big data pipeline engineering and optimization. Position Title: Data Engineer.
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Remote Biomedical Data Engineer/Scientist (24-20 RHB Biomedical Data Eng/Scientist) The contractor employee shall have demonstrated experience with data analytics and signal processing, preferably in the devices that measure human physiology and performance.
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Create, maintain and monitor data flows in Spark, Hive, SQL and Presto for consistency, accuracy and lag time. Presto - fast parallel data warehouse and data federation layer. Create different consumers for data in Kafka using Spark Streaming for near time aggregation.
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HackerOne is seeking a Staff Data Engineer, DataOne, to lead the discovery, architecture, and development of high-performance, scalable data products and solutions. As a Staff Data Engineer, you'll have the autonomy to lead challenging projects and foster collaboration across the company.
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Assist Operations with process control systems by troubleshooting and propose projects to improve performance, including instrumentation selection, data networks, Wonderware HMI's, PLC operations, instrumentation and other electrical systems and recommend cost effective solutions and repairs.
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Work with Snowflake and Databricks, leveraging their capabilities for working with big data and analytics. Develop high-scale software solutions to manage and leverage the big data that flows through our platform.
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Experience in optimizing data models and access patterns for modern warehouse and orchestration platforms such as Snowflake, Redshift, Databricks, Spark, DBT, Apache Airflow, and Prefect.
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As a Data Engineer at Kraken, you'll be at the forefront of transforming terabytes of data into actionable insights, enabling us to stay ahead in the ever-evolving cryptocurrency landscape.
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As a Senior Data Engineer at WorkWave, your role will be pivotal in supporting our AI/ML initiatives by assisting in the creation and optimization of the data architecture that powers our advanced analytics.
$110,000 - $140,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today
databricks big data engineer jobs Title: data engineer sr Company: Kroger in Pittsburgh, PA
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