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Solid experience in building Big Data Pipelines (Batch and NRT) on Hadoop Ecosystem including HDFS, Hive, Spark, Scala, Sqoop, Kafka, NiFi, and real time streaming technologies and host of big data open source stack.
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Plant monitoring and care during vegetative and flowering phase: trimming and staking; big leafing and pruning; plant care, watering and feeding; plant monitoring and climate control; pest and disease control; inventory data input.
$19.25 an hourFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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5+ years in designing, solutioning the Snowflake, Databricks and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. What you’ll be responsible for:As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain.
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Domain expertise: programming languages, data analytics, machine learning (ML/AI), DevSecOps, Cloud, Big Data. Demonstrate expert-level knowledge/experience in Big data and Cloud technologies: Spark ML, Splunk, Elastic Search, Apache NiFi, AWS Glue, Cribl.io Logstream, and Hadoop.
$110,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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You likely have experience with a variety of architectures, patterns, and methodologies focused on Analytics Strategy, Data Governance & Master Data Management, Data Architecture(s), Distributed Systems, ETL, Big Data, IoT, Data Visualization and Analytics.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) Research and evaluate new technologies in the big data space to guide our continuous improvement.
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Experience designing and building highly available, distributed systems of data extraction, ingestion, normalization and processing of large data sets in real time as well as batch, that will be used across engineering teams using orchestration frameworks like Airflow, KubeFlow or other pipeline tools.
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Proficiency in at-least one of the following programming languages - Python, Scala or Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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As a tech lead specialized in data engineering, you are expected to code and contribute to the stack. Work with Privacy and Security team on data governance, risk and compliance initiatives.
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Apply additional big data, visualization, master data management, cloud computing, and other solutions in combination with data science, ML, and AI to increase value to clients.
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Our direct client is seeking a Big Data Engineer for a 6-month contract-to-hire opportunity with their Newark, NJ location. AWS Solutions Architect or AWS Big Data Certification preferred.
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Skill - Big Data, Spark, SQL, parkStreaming-Kafka-Python / Scala / Java. Experience in Big Data technologies including Spark, Scala and Kafka. Job Title: Big data Developer.
ExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Advanced analytical skills – Experience with data analysis and/or data mining, knowledge of SAS, SQL, MicroStrategy, Big Data or other analytics tools like R, Python, Tableau, Power BI.
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Experience working with big data technologies e.g., Snowflake, Redshift, Synapse, Postgres, Airflow, Kafka, Spark, Firsthand experience implementing data solutions leveraging Python, Spark SQL, Databricks Lakehouse Architecture, Kubernetes, Docker, preferred.
ExpandApply NowActive JobUpdated 14 days ago
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