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Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake. 8+ years' experience in engineering data pipelines using big data technologies (Spark, Flink etc.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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We are seeking an experienced big data engineer to work on a variety of projects. The ideal candidate will have at least six years of data software engineering experience in a big data environment dealing with complex systems.
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The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer. Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query.
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Track record of thought leadership and innovation around Big Data. Solid understanding of Cloud Computing Technologies and related emerging technology (e.g. Amazon Web Services EC2, Elastic MapReduce, Azure, GCP) and considerations for scalable, distributed systems Knowledge of NoSQL platforms (e.g. key-value stores, graph databases, RDF triple stores.
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BS degree in Linguistic, Data, or Business Operations/Management related fields (E.g. Linguistics, Applied Linguistics, Computational Linguistics, Data Engineering, Data Science, etc.
$142,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ability to design cloud and on premise data solutions and provide guidance across storage, big data platform services, Big Data ecosystem, vendor SaaS integrations, RDBMS and NoSQL databases is a plus.
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Experience developing data models in Snowflake that are used for scalable Tableau dashboards and include user entitlements a big plus. Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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Graduate-level degree in computer science, engineering, or relevant work experience Preferred: Understanding of ML frameworks (sklearn, TensorFlow, PyTorch, etc) Experience working with big data platforms (Hadoop, Redshift, Snowflake, etc) Architecture, design patterns, production scaling/optimization Insurance industry experience Salary range: $132,500-$197,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No.
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How you’ll make an impact: In this role you will be a member of a team responsible for designing and developing a data ecosystem to promote an environment of data democratization and utilization across SiriusXM and Pandora.
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Experience with data integration platforms is a plus (e.g., Databricks) Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
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What You Will Do : Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
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Cyber Risk Data Privacy Solution Engineer/Senior Consul. Demonstrated experience in performing integrations with Marketing Platforms (e.g., Sales Force Marketing Cloud), Master Data Management (e.g., Informatica MDM) and middleware (MuleSoft, Kafka.
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Experience in media/digital strategy and ad tech/mar tech/ programmatic knowledge—with understanding in how data is matched and translated in different walled garden environments. Articulate fundamental data strategy principles to support audience planning (foundational, enrichment, activation layers), can identify data signals (sources and types), and meets regularly with data partners to familiarize themselves with offerings relevant to supporting customer strategies.
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big data jobs Title: data engineer Company: Amazon in New York, Lexington, Massachusetts
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