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Familiarity with big data technologies and platforms (Dask, BigQuery, Kafka, Spark Structured Streaming). Big Data Technologies, experience in managing and analyzing large-scale datasets.
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Leverage Azure Databricks for big data processing, machine learning, and analytics workloads. 5-6 years of hands-on experience with Azure services, specifically Azure Databricks, Azure DevOps (ADO), Azure Data Factory, Azure Data Lake Storage Gen2 (ADLS Gen2), and SQL Server.
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Certifications such as Certified Information Systems Security Professional (CISSP), Certified Data Privacy Solutions Engineer (CDPSE), GIAC Machine Learning Engineer (GMLE) are highly desirable.
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Ensure data engineering standards align with industry best practices for data governance, data quality, and data security. Relevant certifications in data engineering or cloud technologies (e.g., Azure Data Engineer, AWS Certified Data Analytics.
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Contribute to the modernization of operational processes, legacy platforms by leveraging innovative technologies and optimizing workflows aligned with the target tech stack in the areas of Application/Digital/Data/Workflow engineering.
$242,900Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data & Analytics (Traditional EDW, BI, Big data, Data Engineering, Data Management, Data Modernization, Data Insights) Big Data-Hadoop, NoSQL, Hive, Apache Spark.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Design and deploy large-scale data applications using Cloud, Big Data, Azure Data Factory (ADF), Azure Data Bricks, Python, Spark, SQL and NoSQL solutions. Maintain a repository of reference architectures that can be used by engineering teams.
$223,200 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Design, develop, and maintain data pipelines using GCP services such as Dataflow, BigQuery, and Pub/Sub. Implement and manage data warehouse solutions using BigQuery, ensuring data is stored securely and efficiently.
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Expertise in Google Cloud Data Services: Big Query, Data Proc, PubSub, Cloud Functions, Cloud Storage, Dataflow, Composer. Build and facilitate machine learning across large scale systems and campaigns and ensure deployment and updates in partnership with data engineering.
$185,400 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Having experience in building big data pipelines using Azure Databricks using PySpark, Google DataProc using PySpark, Google DataFlow using Apache Beam is an additional advantage. Develop high performance and scalable solutions that extract, transform, and load big data.
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Hands-on experience in AWS Cloud services including building and implementing server and serverless data engineering, data science, and analytics infrastructure. Work on complex problems ranging from mathematical proofs to big data processes to fueling research with blockchain, financial, and gaming metrics.
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Requirements: Requires a Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Software Engineering or related field and 6 years of progressively responsible, post-baccalaureate experience as a Software Engineer, Applications Development Senior Programmer Analyst, ETL Developer, or related position involving Ab Initio ETL standards in Data warehouse applications.
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Define the Roadmap for the Platform Engineering function and its key pillars (SRE, Dev Ops, UX, DX, APIs, Data) We are looking for a Highly driven CTO who will be responsible for overseeing application SRE (Site Reliability Engineering), Testing Frameworks & Automation, DevOps & Cloud Enablement, Standard Platforms, User Experience Platforms & Developer Experience Platforms, of the company, driving our technology strategy, and ensuring the alignment of our tech capabilities with business goals.
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Provide various deep dive analysis on plant sensor data, weather, load, solar, wind and price data, which will be used to effectively operate, hedge and trade Luminant’s generation and load assets.
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big data engineering jobs Company: Tekintegral in Irving, Schuyler, Nebraska
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