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Hands-on experience with highly scalable and reliable data pipelines using Big Data (e.g., Airflow, DBT, Spark, Hive, Parquet/ORC, Protobuf/Thrift, etc. Report to the Engineering Manager of Banking - Data Engineering.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Our main technology stack currently includes Redshift, Spark, AWS Glue, Databricks, dbt, Airflow, Looker, and Jupyter Notebooks. 4+ years of professional experience as a data scientist in the SaaS industry.
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Strong experience with big data tools (Databricks, Spark etc. Atleast 4 years of experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, AWS, GCP, Data Bricks etc.
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Apache Spark, Airflow, Trino, Pinot, Flink, KafkaData Warehousing and Data Lake technologies such as Snowflake, Databricks, various table formats such as Iceberg or Delta Lake. You will report into the Senior Director of Engineering, Data Platform as part of our Data organization in Engineering.
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Understanding of distributed computing frameworks like Apache Spark and Flink. We are seeking a Senior Staff Data Engineer in our Ads Engineering team, crafting ground breaking mobile advertising technologies to build the next generation of our Ads Platform.
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Streaming data processing: Experience with streaming data processing platforms such as Apache Beam or Apache Flink. ML aptitude: Experience building product features with ML frameworks like Scikit-Learn, PyTorch, TensorFlow and big data tooling like Spark.
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Hands-on experience with AWS cloud services, including Databricks/Spark, Terraform, Docker containers, ECS, CloudFront, DynamoDB, S3, and Kinesis. Experience with Databricks/Spark, Terraform for AWS infrastructure setup, Docker containers, AWS ECS, CloudFront, DynamoDB, S3, AWS Kinesis, and implementing secure and scalable REST APIs in Java is essential.
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O Familiarity with big and real-time data governance and ML workflow orchestration (experience with Spark, Databricks, MLflow is a plus) Data Architect/ Engineering lead - ML.
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Experience in distributed data processing systems and framework (Hive, Redshift, Presto, Snowflake, Spark, etc). We're looking for experienced data scientists to work with our core product teams, who will take ownership of the team's data projects and serve as a strategic partner to Product, Engineering, Design, User Research, and Marketing.
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Lead end-to-end development of data tooling and frameworks, using modern technologies such as BigQuery, Apache Beam, Airflow, Dagster, dbt, Kubernetes, and Rust. Reporting to the Engineering Manager of Data Infrastructure, you will work on strategy that is foundational to the company and product.
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Knowledge of distributed computing technologies such as Apache Spark, Hadoop, or Dask, and experience with containerization and orchestration technologies such as Docker and Kubernetes. Data Processing and Feature Engineering: Develop pipelines and tools for data processing, feature engineering, and preprocessing to support machine learning model development.
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Our goal is to bridge the gap between biological data and cutting-edge technology by building modern data engineering software for the biotech industry. Experience working on bioinformatic data pipelines (e.g. Airflow, Nextflow, Snakemake.
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Strong programming skills in languages such as Python, Java, or Scala, and experience with data processing frameworks like Apache Spark or Apache Flink. Stay current with industry trends, tools, and technologies related to data engineering, analytics, and visualization, and recommend and implement improvements to our data infrastructure and processes.
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Bringing to bear a mixture of model development and software engineering skills, you will lead the development and deployment and of several of Twitch's core growth forecasting models, use data-driven methods to answer business questions, and deliver insights to deepen understanding of viewers and creators on Twitch.
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data engineering apache spark jobs Company: Rippling in San Francisco, Boynton-beach, Florida
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