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Knowledge of big data technologies such as Apache Spark. Experience with Databricks for data engineering and analytics preferred. Familiarity with data visualization tools (e.g., Tableau, Power BI.
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Hands on experience with BigData and distributed computation systems (HDFS, Spark, Apache Flink, Databricks) Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development.
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The candidate will have hands on Spark experience in heavy data App/Dev environments (non-Big Data) and a deep understanding of GCP data related tools such as DataProc, Pub/Sub, Data Composer.
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Expert knowledge of Big Data and AWS concepts (Lambda, S3, EC2, EMR, Spark) The team uses a variety of tools, technologies, and languages to build software like Delta Lake, Hadoop, Kinetica, Solr, Spark, Kafka, Python, Java, Ruby, Scala, Airflow, Luigi, EMR, Databricks, etc.
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TekStream has an immediate opening for a Data Engineer with a strong background in Python and API integration for a remote long term contract. Strong proficiency in Python for data manipulation and analysis.
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Leverage a broad stack of technologies — Python, Conda, Flask, Dash, Hugging Face, LangChain, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
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Developing the machine learning Nuero Network Model for the purpose of future data migration and linking of Big Data. Previous experience in a past role building a Nuero Network Model for Big Data migration.
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Strong Exp in Machine learning - esp- LLMs 10 + yrs of exp in Big data engineering Strong exp in Java Scala and Spark Strong- Pyspark, Golang Exp in large scale data infrastructure, map reduce / hadoop, cloud native deploymentsExp in alerting, monitoring and remediation automation in large scale.
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Experience in implementing data pipelines for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Spark, Spark Streaming, etc. Automate data platform operations and manage the post-production system and processes.
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Must be knowledgeable of basic cloud infrastructure / platforms / services (AWS preferred) Experience with version control systems (e.g., Git) Must be highly experienced in API integration development.
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3+ years of experience with big data frameworks (Amazon EMR, Apache Spark) Work on public cloud infrastructure, Big data technologies, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Build big data platform using AWS Glue, Spark, Spark Streaming and other AWS services. Collaborate with and across Agile teams to design, develop, test, implement, and support big data platforms.
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Experience in Big Data technologies (e.g. Hadoop, Spark, Databricks, Snowflake) Experience building and optimizing 'big data' data pipelines, architectures, and data sets.
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Strong analytical and problem-solving skills. Applicants able to work on W2 basis preferred. What we're looking for.
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As a Phoenix Cloud Integrator, you'll use highly desirable technologies in multiple domains including Big Data (Hadoop, Spark, Kafka), Cloud Computing (Amazon Web Services, Azure, Google), and automation (Puppet, Ansible.
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