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Experience with big data technologies (e.g. Apache Spark, Hadoop) and data processing frameworks. Design, develop, and maintain a robust, scalable, and secure data infrastructure like cloud infrastructure, data lake, observability, system integrations, Databricks workspaces.
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Deep experience with data pipelines (ETL/ELT, Spark, dbt, Airflow, Databricks, etc.) Deep experience with OLTP database design, build, run (SQL, normalization, query optimization, Databricks, etc.
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Experience with Informatica, Kafka, CDC, SQL, Irwin, Python, AWS (S3, Athena, Glue, Kinesis, Redshift), Spark, Scala, AI/ML, Modern data platforms, Snowflake, dbt, Fivetran and Airflow. Experience with Informatica, Kafka, CDC, SQL, Irwin, Python, AWS (S3, Athena, Glue, Kinesis, Redshift), Spark, Scala, AI/ML, Modern data platforms, Snowflake, dbt, Fivetran and Airflow.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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3+ years in data engineering with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT. Immediate need for a talented Senior Data Engineer (Must have team lead experience.
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Knowledge and proven use of contemporary data mining, cloud computing and data management tools including but not limited to Microsoft Azure, AWS Cloud, GoogleCloud, hadoop, HDFS, mapr and spark.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Follow checklists to ensure all important parts are examined, including belts, hoses, steering systems, spark plugs, brake and fuel systems, wheel bearings, and other potentially troublesome areas.
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Familiarity with additional transformation platforms like Apache Spark and Beam. Day to day you’ll be building modeling data to feed analytical reports and data science models, optimizing and creating new ETL pipelines, or building data models in Looker or Qlik Sense.
$152,500 - $205,500Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Based in NYC, Overtime is funded by top VC firms, industry leaders, and athletes, including Jeff Bezos, Drake, Spark Capital, Andreessen Horowitz, Greycroft Ventures, and Blue Pool Capital. They are key contributors to our game day operations and build lasting relationships with our fanbase to foster a safe, efficient, and fun experience for the Overtime Elite community at all of our events.
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O Azure Spark Notebooks (SCALA, Python, Spark SQL) Utilizes technologies to facilitate enterprise data pipelines, spark notebooks, dataflows, data lakes, SQL Serverless, and data warehouse processes and artifacts from internal and external application data sources.
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3+ years of experience in running, using and troubleshooting the ETL Cloudera Hadoop Ecosystem i.e. Hadoop FS, Hive, Impala, Spark, Kafka, Hue, Oozie, Yarn, Sqoop, Flume. Understand Hadoop, Spark, Python and other Eco Systems like Impala, Hive, Oozie, Pig etc., Autosys and UNIX Shell Scripting.
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Data engineering skills are a plus, such as Beam, Spark, Pandas, SQL, Kafka, GCP Dataflow, etc. Data engineering skills are a plus, such as Beam, Spark, Pandas, SQL, Kafka, GCP Dataflow, etc. Familiarity with task orchestration tools such as MLflow, Kubeflow, Airflow, Vertex AI, Azure ML, etc.
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Experience with Cloud Platforms, especially GCP and related skills: Docker, Kubernetes, edge computing. Develop end-to-end ML pipelines encompassing the ML lifecycle from data ingestion, data transformation, model training, model validation, model serving, and model evaluation over time.
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Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services.
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4+ years of experience with Python, R, Spark or SQL. You have passion and expertise in one or more of the following areas: risk analytics, data analytics, machine learning, SQL, Python, cloud security, network security, vulnerability management, data protection, threat intelligence & investigations, and identity & access management.
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Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark) is a plus. Experience in Looker/ Power BI/Qlik/ Tableau. Informatica/ Airflow / DBT/ Python experience.
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spark job Title: databricks in Atlanta, GA
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