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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Extensive experience with Android development with Java and Kotlin. The Lead Software Engineer will report to the Mgr-Technology. Strong understanding of Android OS, Android SDK, and hardware integration and configuration.
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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. You have a strong background in data quality management and are experienced with SaaS and/or digital sales metrics.
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12+ years experience as a Data Architect, Data Engineer, or similar role with a focus on data warehousing and marketing data analytics. Proficiency in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Snowflake, Cassandra, Aurora.
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Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage.
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Mobile App Developer - Flutter, Android & iOS. Knowledge of data science, machine learning, and artificial intelligence is required. Knowledge of data science, artificial intelligence, and/or machine learning is required.
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Apache Spark : Develop the de facto open source standard framework for big data. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.
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We value passionate, down to earth, “can do” people who enjoy fine-tuning small details, without losing sight of the big picture. We are seeking a highly skilled Full Stack Software Engineer with a strong emphasis on back-end development to join our team.
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At least one of the following: GCP Professional Machine Learning Engineer, AWS Certified Machine Learning Engineer. They must have knowledge and experience with "black box" AI capabilities for traditional tasks such as image and video recognition, speech to text, language translation and chatbots, along with a deep understanding of the intellectual property and data privacy issues inherent in using pre-trained generative AI platforms.
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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Our team masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations.
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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We work with external vendors on part selection and initial hardware bring-up, with a focus on customizing Android for Square's state-of-the-art security posture. Block takes pride in our product experience from manufacturing to end- customer experience, and this team works closely with partner teams throughout the hardware and software product lifecycle, from hardware manufacturing to the Android app teams.
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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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Under the direction of the City Engineer or designee, the Senior Civil Engineer supervises and participates in both the field and office work of engineers, inspectors, and technical personnel in connection with the design and construction of streets, sewers, and other public and private works as required.
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The Technical Program Manager will work with Apple and Android Engineering teams to deliver world-class features for SiriusXM and Pandora,. Pandora, a subsidiary of SiriusXM, is the largest ad-supported audio entertainment streaming service in the U.S. SiriusXM's subsidiaries Simplecast and AdsWizz make it a leader in podcast hosting, production, distribution, analytics and monetization.
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