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Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud). Sr. Data Engineer needed hybrid on-site for large well-established Food Manufacturer based in Los Angeles.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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4+ years of experience in big data and event streaming technologies: Spark, Kafka, etc. 2+ years of experience in cloud technologies: Azure (big plus), AWS, OpenStack, etc. The Full Stack Senior Engineer develops both front-end and back-end solutions.
$172,355 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Solution IT Inc. is looking for Senior Data Engineer for one of its Direct clients in Glendale, CA (Hybrid) We're looking for a Sr. Data Engineer to help us grow the impact of our team.
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Leverage machine learning, information retrieval and big data processing technologies to empower ranking, recommendation, and content experiences. Create comprehensive data management systems for scalable data collection, labeling, processing, and evaluation.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. For Senior Data Engineer (III.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Building and optimizing 'big data' data pipelines, architectures and data sets using AWS cloud services and SnowFlake. Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores using Hadoop, Spark, Kafka, etc.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with databases (e.g., MongoDB, CosmosDB) and big data tools (e.g., Hive, Hadoop, Hbase) and data visualization tools such as Matplotlib, Seaborn, or Plotly. Implement AI applications that comply with ethical guidelines and legal standards, particularly regarding data privacy and user consent.
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Improve scalability and performance of the platform through integration with big data frameworks (Databricks, Snowflake, etc. Experience with data visualization tools and packages like matplotlib, Plotly, Tableau, Qlik, etc.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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4 years of experience in Working with SQL, Databricks, Spark and/or other Big Data technologies. 2 years of experience in Experience working with large-scale data processing and storage using Azure Data Factory, Integration Runtime, Data Lake, Databricks, Spark, Azure ML, Snowflake, SAS Dataflux.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience working with big data platforms (Hadoop, Spark, Hive) and orchestration frameworks (Airflow) and analytic environments (Databricks, Sagemaker, Jupyter). As a Machine Learning Engineer and an early member of our small team, you will own a significant portion of our product and the company.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Skill sets needed: ETL/ELT, Python/SQL, Big Data, Docker, Gitlab, Airflow, Snowflake, Looker and PostgreSQL, AWS, S3. Experience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar.
ExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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2+ years of specialized experience in Service Reliability Engineering (SRE) or equivalent roles such as Technical Release Manager, Process Owner, Live Operations Engineer, or Network Administrator.
$163,600 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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This is a Site Reliability Engineer role, focusing on the data pipeline reliability for the Video Platform team in USDS. Data SREs monitor data and keep production batch and realtime processing jobs up and running with the highest level of availability, ensuring our users have the freshest, complete and correct data possible.
$237,500 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Strong experience with distributed data architectures and big data processing technologies (Spark, EMR, Hadoop, Hive) Discerning appreciation of best practices in designing data lakes/lake houses, mentoring junior members, peer review and recommendation.
$171,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Big Data Technologies: Proficiency in Databricks, Spark, PySpark, Scala, and SQL. Data Engineering Fundamentals: Expertise in ETL/ELT processes, data pipelines, data modeling, schema design, and data warehousing.
ExpandApply NowActive JobUpdated 7 days ago
big data engineer jobs in Glendale, CA
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