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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. The Data Capture team is seeking to grow their team of world class Software Engineers that share their charisma and enthusiasm for making a positive impact.
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Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python. Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query.
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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About The Role The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer. Preferred Qualifications Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query.
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Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across the Data organization. Maintain detailed documentation of your work and changes to support data quality and data governance requirements.
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Strong initiative to find ways to improve solutions, systems, and processes Must have skills: Azure Databricks Big Data concepts Data Lake concept Machine Learning concepts 1 or more certifications: Azure Data Engineer Associate Azure Cosmos DB Specialty Azure Administrator Associate Azure Data Scientist Associate Azure DevOps Engineer Expert Our benefits package includes: Comprehensive medical benefits Competitive pay 401(k) retirement plan.
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2+ years of data engineering experience developing large data pipelines. As a member of the Data Capture team you will establish the foundational set of core platform frameworks and pipelines which are a vital key to success – enabling dozens of engineering and analytical teams to unlock the power of data to drive key business decisions and provide engineering, analytics, and operational teams the critical information necessary to scale the largest streaming service.
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At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake. Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK, and Databricks/Spark.
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Proven experience with Big Data & ETL tools like Databricks, Hadoop, AWS Glue. As a Lead Software Engineer at JPMorgan Chase within Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.
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The Data Platforms Team, a segment under the Disney Entertainment & ESPN Technology (DEET) organization is looking for a Sr. Software Engineer to join our Big Data Applications team.
$191,100 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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C#, developer, matlab, php, software development engineer, software engineer. Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.
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As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.
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These applications leverage cloud computing, big data, data science, and modern software development methodologies and frameworks. 5 years of experience as Data Engineer, Developer, or related.
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Cloud Engineers set up, operate, develop, evolve, and maintain cloud-centric platform(s) including IoT, Customer Solution Delivery, Data Science Environments and Software Delivery, as well as satellite tools and environments (file storage, databases, tensorflow, data streaming, eventing, machine learning and big data frameworks, notebook technologies, and container orchestration tooling.
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databricks software engineer big data jobs Title: data engineer
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