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The ideal candidate will have deep experience with Java, Spring Boot/Spring, cloud platforms like GCP or AWS, and big data technologies including Apache Spark, Hadoop, Kafka, and Cassandra. Proven ability to work with big data tooling (Spark, Kafka, Hadoop, Cassandra.
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Experience with data ingest and analytics tools, including Data Factory, Databricks, Spark, Airflow, Power BI, Tableau. Experience with data ingest and analytics tools, including Data Factory, Databricks, Spark, Airflow, Power BI, Tableau.
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Experience with stream-processing systems: Kafka , Storm , Spark-Streaming , etc. Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow.
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Skills Required: Requires experience in the following: Agile SDLC; Application Architecture Disciplines; Jenkins; NodeJS; Spring; Java; Python; React; Shell Scripting; SQL; REST; Maven; Apache Ant; JSON; Apache Zookeeper; AWS Cloud Services; Oracle; Apache Spark; Splunk; GIT; Junit; Unit Testing; and User Acceptance Testing.
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Programming measurement, automation, data acquisition, and related software such as AutoCAD, SolidWorks, Labview, and Measurement Studio software is a plus. 2 + years of verifiable environmental technician experience.
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Hands-on experience with Spark streaming and batch framework. In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
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Terms and conditions apply #registered vet technician (RVT) #licensed veterinary technician (LVT) #veterinary technician specialists (VTS) #certified veterinary technician (CVT.
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Experience working with big data tools (e.g., Spark) and cloud platforms (AWS, GCP, or Azure). Strong programming skills in Python, with proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
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Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services.
$336,900 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Develop data pipelines / APIs using Python, SQL, potentially Spark and AWS, Azure or GCP Methods. 3+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Data Warehouse, Databricks, etc.
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Demonstrated programming skills with SAS, Spark, Python, R or equivalent languages. For example: Transaction Monitoring Systems, KYC/CDD, Sanctions and Wire screening Applications, Network Analysis, Entity Resolution & Identification and Segmentation utilities or Case Management solutions.
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Apache Spark, Kafka, Airflow, Kubernetes, Databricks, Snowflake. Apache Spark, Kafka, Airflow, Kubernetes, Databricks, Snowflake. Experience in Analytics Tools and Frameworks (such as Looker, Tableau or similar) is a huge plus.
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka.
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American Concrete Institute (ACI): Field Testing Grade I; Strength Testing Technician; Laboratory Technician - NICET: Construction Materials Testing (Asphalt, Concrete, Soils) - International Code Council (ICC): Special Inspector (Reinforced Concrete, Masonry, Soils) - DOT specific in the fields of Aggregate, Density, Asphalt, and Concrete.
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Experience Proven experience (5+ years) as a Senior Database Administrator, with a focus on Data Warehouse and Data Lake environments Technical Skills In-depth knowledge of database management systems such as Oracle, SQL Server, MySQL, or PostgreSQL. - Hands-on experience with big data technologies like Hadoop, Spark, and related ecosystems (e.g., Hive, HBase, Kafka.
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spark job Title: studio technician in Atlanta, GA
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