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A prestigious company is looking for a Director, Software Engineering - QRM. This director will manage 6 people and will help develop software applications and solutions for the quantitative management platform.
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GEICO's Data Engineering team is seeking a highly skilled Senior Engineering Manager with expertise in Big Data technologies including Data Movement and Data Streaming, along with a passion for building high performance, low-latency distributed systems, platforms, and applications, preferably using Open Source Software (OSS) technologies.
$120,000 - $261,500 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Job Summary We are seeking a skilled Martech Software Engineer with expertise in marketing technology platforms such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python, and some experience in data engineering.
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Work closely with other data engineering teams to integrate schema registry and establish data lineage for all data domains. The mission of the Data Engineering team is to build a scalable data platform and pipelines that caters to a variety of domains across Chime.
$119,000 - $207,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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About the Role & Team The Big Data Infrastructure (BDI) team is seeking a Senior Software Engineer who will be an exceptional addition to our BDI team. And customize at least one of the above-mentioned systems at code level Preferred Qualifications: Experience in building in-house big data infrastructure Experience in developing and optimizing Hadoop-related components (e.g. HDFS, HBase, Yarn, Hive, Spark, Flink, Presto) Demonstrated ability with cloud infrastructure technologies, including Terraform, K8S, IAM, ELB, Ranger, KMS, etc.
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Who you are - AVP, Data Engineering. At least 5 years of combined hands-on professional experience with either traditional RDBMS (MSSQL, Oracle) or cloud-based data warehousing platforms (Snowflake, AzureSQL/Synapse, Redshift, BigQuery) including expertise with architectural elements such as keys, constraints, and clustering.
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Exposure to Business Process Analysis, Data Analysis, Finance, and Accounting, Excel and Macro Development, SAS or Other Reporting Tools, Data and Analytics, Microsoft Power Platform, SharePoint, RPA (Automation Anywhere big plus), Software Development, Project Management, Business Process Improvement/Engineering (BPI), Technical Support and Customer Service, Business Knowledge (Any Area) are all a big plus.
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5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
$268,000 - $414,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Title: Big Data Hadoop Engineer Location: Pleasanton, CA Duration: 12 months Compensation: $52/hr - $74/hr Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. ABOUT THE ROLE: The Big Data Engineer shall lead the Big Data Engineering team.
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Director, Software Engineering (Internal Products - Capacity Planning) Director, Software Engineering (multiple positions available) Director, Software Engineering.
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Design and build production data engineering solutions to deliver our pipeline patterns using Google Cloud Platform (GCP) services: BigQuery, DataFlow (Apache Beam), Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Composer (Apache Airflow), Cloud SQL, Compute Engine, Cloud Functions, and App Engine.
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Exposure to big data approaches: PySpark, Apache Spark, Azure Databricks, Azure SQL, Azure ML, Java. Acquire a solid understanding of the principles of data engineering, including data wrangling/transformation, tools or programming languages, and data visualization/BI technologies for the purposes of automating processes involving data manipulation.
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Research in Computational Data Science and Engineering includes: big data and computational statistics, AI and Machine Learning, internet of things, large and complex systems, intelligent transportation and infrastructure systems, remote sensing, autonomous vehicles, virtual and augmented reality, e-commerce, image and video processing, scientific and interactive visualization, high-performance computing, scalable algorithms, bioinformatics, and multi-scale multi-physics engineering systems.
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Five (5) years of experience must include: Informatica AXON; EDC; IDQ; Collibra; Implementing Data Quality frameworks, metadata management solution and data governance solutions; AWS, big data technologies, python and databases; Overseeing projects and programs with a focus on delivery; Data management; Data Governance strategy; Presentation Skills; Software Design and Architecture; Project/Program Management; Stakeholder Management.
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Bachelor’s or master’s degree in computer science, Software Engineering, Data Science or related field, or equivalent practical experience. Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
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big data software engineering jobs Title: principal software engineer Company: Twilio
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