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Be the spark that brightens days and ignite your career with TTEC's award-winning employment experience. Be the spark that brightens days and ignite your career with TTEC's award-winning employment experience.
Full-timeRemoteExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Strong programming skills in languages such as Python, Java, or Scala, with experience in data processing frameworks like Apache Spark or Apache Flink. Data Processing Frameworks: Lead the implementation and optimization of data processing frameworks and technologies, such as Apache Hadoop, Apache Spark, and Apache Flink, to enable efficient data processing and analysis.
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Configure and maintain systems including but not limited to Kubernetes (EKS and ArgoCD), Kafka, Spark, ElasticSearch/OpenSearch. Your expertise in Python, SageMaker, Spark, CI tools, SQL, Kafka, Kubernetes, and ArgoCD will be the driving force behind setting up fully automated CI/CD pipelines, solving operational challenges, and ensuring the optimal performance of complex systems.
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Stream Processing Master: Experience with batch and stream processing technologies like Apache Kafka and Spark to handle data pipelines of all sizes. Data Warehousing Guru: Familiarity with data warehousing solutions like ClickHouse, Redshift, BigQuery, or Snowflake for efficient data storage and retrieval.
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Experience working with big data tools (Spark/PySpark, MapReduce) and relational databases (e.g., PostgreSQL, SQL Server) and/or NoSQL on distributed platforms (e.g., HBase, Cassandra). Experience using COTS (Microsoft Power BI, Tableau) or library-based (D3, Chart, Plotly, React-vis, Rechart) frameworks for Data Visualization and Business Intelligence.
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Ability to be proactive, you will spark moments of delightful possibility for our customers. Working at SONIC, you ll spark moments of delightful possibility. Start with a Job, Spark a Career.
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Experience with data warehouse and big data technologies such as Azure Synapse Analytics, Azure Data Lake Storage, Spark, Kafka, Databricks, and Containers. Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services.
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Experience with Glue, EMR, or Spark. Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office - whatever makes you the happiest and most productive.
Work from homeExpandUpdated 24 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies such as Spark, Kafka, or similar. The Tech Lead - Data & Customer Interface will report directly to the VP of Operations. Utilize expertise in reporting tools such as Power BI, Tableau, and Salesforce to create insightful and actionable reports for stakeholders.
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Technologies such as Hadoop, Hive, Pig, Spark. OLAP (RedShift, Presto, Snowflake) or non-relational (MongoDB, DynamoDB) database technologies. Amazon Web Services (AWS) technologies, Microsoft Azure or Google Cloud Platform will be strongly considered.
RemoteExpandUpdated 21 days ago - UpvoteDownvoteShare Job
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Build automation for CI/CD and SaaS delivery on AWS, Snowflake and Databricks. Radian is a fintech servicing the mortgage and real estate services industry. Radian has also pledged to PwC's CEO Action for Diversity & Inclusion commitment.
RemoteExpandUpdated 11 days ago - UpvoteDownvoteShare Job
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Perform other duties as assignedQualifications and Education Requirements:Degree in Information Systems, Computer Science, Engineering, or related field, or the equivalent combination of education, training, and experienceWorking knowledge of message-oriented middleware/streaming data technologies such as Kafka, MQ, Azure Event Hub, Spark, Spark StreamingMust have strong programming skills / experience in C.
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Proficiency in Python, Spark, and SQL with experience developing NLP applications. The Machine Learning Engineer could have a background in technical selling complex solutions of mission-critical data systems (databases, data warehouses), big data systems, analytics, and/or machine learning - or 3 years of building and delivering Machine Learning solutions to internal customers.
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Experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) Experienced with visualization tools like SSRS, Excel, PowerBI, Tableau, Google Looker, Azure Synapse.
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Peer Specialists ignite the spark of hope that recovery is possiblewhile promoting skills for coping with and managing symptoms and encouraging the use of natural supports and enhancement of community living skills.
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spark job in Northport, AL
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