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The Senior Big Data Software Engineer is responsible for the development of high performance, distributed computing tasks using Big Data technologies such as Hadoop, NoSQL, text mining and other distributed environment technologies.
$116,700 - $196,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of big data ecosystem such as Hadoop, Cloudera, Informatica Data Platform Azure DevOps and CI/CD experience would be helpful. Understanding of data services including ComosDB, Azure SQL Database, Data Lake, Databricks, Data Factory, Synapse, Snowflake and when to use each.
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Stay up-to-date with industry trends and best practices related to Spark, big data technologies, Python, and AWS services. Proven experience (10+ years) as a Spark Developer or in a similar role working with big data technologies.
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Oversee data transformation processes utilizing tools such as Alteryx, Talend, Databricks, SSIS, Informatica, SQL, Python, Spark, Scala, or R. Contribute to data visualization efforts using tools such as Tableau, Power BI, and Looker.
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Serve as the enterprise liaison between Business and technology to manage business definitions, data lineage (business and metadata), data taxonomies, ontology, and data quality rule definitions in a clearly defined and discoverable manner.
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Design and implement cloud-based solutions using Microsoft Fabric technology stack and Microsoft SQL Server, including Azure Synapse Data Engineering, Azure Data Factory, Synapse Data Science, Synapse Data Warehouse, Synapse Real-Time Analytics, Onelake, and Power BI, with a focus on data migration, movement, and transformation.
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Solid experience implementing data lineage, data quality and data observability for big data workflows. Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka.
$110,500 - $138,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Must have experience with Java,Scala,Big data,Hive,Spark and Microsoft Azure Synapse Cloud. Participate in design and implementation of the Data Lake, big data migration using Azure cloud as platform.
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Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices. Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices.
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Collaborate with client business and technology leadership to provide data strategy and architecture thought leadership (big picture thinking), Strong technical background with hands-on technical expertise and experience in leading the technical team across various technologies related to On-premises / Cloud Database Technologies including Snowflake, SQL Server, Oracle, SSIS, Informatica, MDM, ODS, Data warehouse, Python, Power BI, Qliksense, Tableau, SnapLogic, Azure/AWS Services and DevOps Toolsets.
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Experience with big data stack. Knowledge of AWS is a prerequisite Familiar with Spinnaker, Jenkins, Terraform and similar SDLC and Monitoring Tools (Cloud Watch, Data Dog, Dynatrace.
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Experience with cloud-based data offerings (Amazon AWS, Redshift, Snowflake, Google GCP, Microsoft Azure) Experience with ETL Tools (Informatica, DataStage, Data Build Tool, etc.) Compliance to Agile Jira SDLC controls, Service Now Change & Incident management, and Data Ops Gitlab CI/CD pipeline.
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Proficiency in SQL, and additional experience with data engineering tools and technologies (e.g., Apache Spark, AWS/GCP/Azure data services) is highly desirable. Develop and maintain robust data pipelines, ETL processes, and data models to support Power BI reporting and analysis.
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Experience utilizing graphical software (JMP, R, Python, or similar) and motivated in handling large data sets from high throughput fermentation platforms to make data-driven decisions. Perform Design of Experiments (DOEs) and data analysis with strong scientific and statistical rigor.
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Based in Plano, Texas TTS-US, a Toyota group company, has rapidly transformed itself into a technology and mobility establishment and a leading provider of IT security, including network security, endpoint security, cloud security, cloud workload, mobile security, data security, and security management in addition to threat intelligence, and cyberattack response services.
ExpandApply NowActive JobUpdated 7 days ago
big data jobs Title: project manager Company: Oracle in Plano, TX
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