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Data Management: Snowflake, Databricks, Big Query. Data Transformation: DBT, Airflow, Talend, Alteryx. Business Intelligence: Qlik, Domo, PowerBI, Tableau (focus on admin, data pipelines, and light development.
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Rust or Python, Kubernetes configuration, Jenkins scripting Familiarity with Java Unsafe memory access model Big Data experience – prefer Hadoop with PIG or Hive; NoSQL, Mongo DB experience Tick Database and Market data/Complex Database streaming understanding; Complex Event Processor experience Experience with Chromium Engines, HTML5 and Angular or React Javascript libraries Rasool Shaik, Talent Acquisition Lead at PruTech Solutions, Inc.
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Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies such as Apache Hadoop, Spark, Kafka, and others. The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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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. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
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YOUR SKILLS AND EXPERTISEBachelor’s degree in computer science, data science or a related field with five (5) or more years of working as a data engineer, ETL developer and/or data warehouse DBA.STANDOUT QUALIFICATIONS:Experience with Cloud-based data services and solutions (Azure Synapse / Data Lake, AWS RedShift, Snowflake, GCP Big Query)Experience partnering with Analytics and Data Science teams in building out production grade GenAI/ML solutions.
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Key Roles and Responsibilities As a Sr. Big Data Software Engineer, you will:Produce batch and real time data pipelines for our network and NLP based use cases for our data scientists and other developersDevelop deep domain expertise and opportunities to expand your role into additional facets of data insights including modeling, extensive cloud-based environment architecting, and software development.
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Experience with big data tools and architectures, such as Cloudera Hadoop, HDFS, Hive, and Spark. THE ROLE:As a key member in the Advanced Data Analytics team, the Data Analyst will work with this and a cross-functional team to develop and execute the data analytics strategy and apply to Oshkosh Corporation products.
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Demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
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Great to haves: Experience with Databricks or S3 based data lakes Experience writing Python or Scala code Exposure to big data tools: Hadoop, Spark, Kafka, etc. As a Senior Data Engineer, you will help evolve our platform (Databricks) and our partner integrations (HubSpot, Iterable, Appcues, etc.
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Design scalable patterns and architecture to support both batch and real-time data products & platform using big data technologies such as Hadoop, SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies.
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We are looking for self-motivated hands-on Big Data Engineer- Spark/Scala Developer for state street's AML program. Experience with Public cloud technologies such as AWS, Databricks is big plus.
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Required Qualifications & Skills 3+ years of enterprise experience with data and platforms including: Provisioning/Data Capture, Big Data, Data Warehousing and Business Intelligence.
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big data jobs Title: functional consultant Company: Dice in Parkville, Maryland
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