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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Collaborate with Engineering, Product, and Data Science team members, providing a voice in backend architectural design decisions. Postgres, Redis, Kafka, Redshift. Work across the engineering team to refactor existing systems and architect new features and solutions at scale.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Design and build a resilient and scalable data platform that efficiently handles diverse data sources to support business analytics, data science and ML engineering within the organization.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Proficiency in data engineering tools and technologies such as SQL, Python, Spark, Hadoop, Airflow, Apache Kafka, Presto, Apache Beam, DBT. 8+ of proven experience in data engineering, data warehousing, and ETL processes.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with real-time messaging and streaming architectures, platforms, and frameworks (PubSub/Kafka, Storm, Kinesis, Dataflow/Beam, Flink, Spark Streaming, etc) Bonus: Experience with Databricks / Spark in addition to using multiple Cloud services' data products and services.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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You will work in close collaboration with data science, platform engineering, and product teams to build ETL pipelines, MDM solutions, and access control mechanisms to enable effective governance of the data for product delivery.
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The ideal candidate will contribute significantly to platform development, leading several data engineering teams with diverse skillset while also being very hands-on coding and actively shaping the future of our data ecosystem.
RemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with one or more commercial or open-source technologies like Databricks, Informatica, Talend, Airflow, Kafka is essential. Experience building web-based reporting solutions with data visualization technologies like Power BI, Tableau etc.
$160,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Build and grow data engineering capabilities that deliver performance solutions that drive customer value and business outcomes. Accelerate building and improving capabilities centered around data engineering that focuses heavily on building foundational data assets, data engineering pipelines, data platform initiatives, and data product development.
$60,000 - $150,000 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. 10+ (for senior) 15+ (for principal) of proven experience in modern cloud data engineering, data architectures, data warehousing, and software engineering.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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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 are looking for a Sr. Data Engineer to execute our Data Strategy roadmap. 5+ years as a Data Engineer working on large scale ETL systems. Operate current data ingest services while building the next generation of ETL pipelines.
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Data streaming and stream processing: Apache Kafka, Kafka Streams or Apache Flink, Storm. Symphony is a global design and development software company headquartered in San Francisco with 650+ technologists located across engineering offices in Southeast Europe and Latin America, along with business development offices in the US and Western Europe, and a Remote hub engaging employees from Latin America to Africa and Asia. In the last 16 years, we have launched over 200 products for the world's leading startups, enterprises, and Fortune 500 companies.
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Experience with large-scale analytics and data warehouse systems such as Databricks, Amazon Redshift, Amazon EMR, and/or Hadoop. + In-depth knowledge of multiple data persistence technologies including relational databases like Oracle and Postgres; non-relational/NoSQL databases like DynamoDB and MongoDB; cloud storage like AWS S3 and GCP Object Storage; and traditional file systems.
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Experience collaborating with data scientists and data analyst on projects related to forecasting, dashboards, and reports. This role will be part of a new team accountable for building our critical data ecosystem.
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data engineering kafka jobs in Atlanta, GA
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