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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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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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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.
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Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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Build high-performing clinical data processing frameworks leveraging Google Cloud Platform, GCP Shared Services like Google Healthcare API, Big Query, and HL7 FHIR store. 5+ years of hands-on experience working with "Big Data" technologies and experience with traditional RDBMS (e.g., Teradata, Oracle, DB2), SQL, HQL (Hive Query Language), Python, Unix Shell scripting, JSON, and XML.
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Minimum 2 years professional experience in applied wildlife biology+ Basic proficiency and experience with research techniques, including data management, basic statistical analysis, and report writing,+ Experience with wildlife field data collection, including Global Positioning System ( GPS ) and field navigation.
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Our Content Engineering team is seeking a highly hardworking Data Engineer with a strong technical background and passionate about diving deeper into Big Data to develop state of the art Data Solutions.
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Norfolk Southern Corporation is currently seeking a Big Data Engineer with an affinity for working with others to create successful solutions. 3+ years of Big Data tools like Hadoop, Spark, Spark SQL, Kafka, Sqoop, Hive, S3, HDFS.
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Minimum 4-year college degree with hands-on experience as a big data developer 5+ years with a proven record of multiple successful deliveries. You will be involved in holistic surveillance build out which will require excellent understanding and hands-on experience in big data (Hadoop - Cloudera stack) technologies like hive, spark, Kafka, Angular JS to architect, develop and support sophisticated analytics pipeline using Machine Learning algorithms.
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GCP Data Engineer (Standard) with skills Big Data, Kafka, Python, Scala, Apache Spark for location Poland. Sub Skill(s): Big Data. Primary Skill: Data Engineering.
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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Big Data Engineer.
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Minimum of 10 years of experience in big data, database and data warehouse architecture and delivery. Certified AWS Big Data Specialty (Nice to have) Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, AutoScaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
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Experience with big data and workflow management technologies like Hadoop, Spark, Redshift, Athena, Airflow, etc. Data platform: Hadoop, Hbase, OpenSearch, Kafka, Spark, Flink, Go, Java, SQL, Databricks, Snowflake, BigQuery.
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Building data processing pipelines to integrate large datasets from multiple sources and formats, in both streaming and batch mode; Designing and developing data pipelines from ingestion to consumption within big data architecture using Python, Java, SQL etc.
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big data jobs Title: senior developer Company: Pwc
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