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Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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Hands on experience with servers (Supermicro, EMC, DELL, HP) Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
$66,560 - $110,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You have hands on experience with data visualization and reporting tools such as Tableau, R Shiny, and/or Looker. You will be responsible for building out a holistic view of performance as well as a detailed analytics roadmap by leveraging analytics tools (i.e., SQL/Hive/Hadoop/Cloud, Adobe Analytics, VisualIQ, Tableau/ThoughtSpot/Looker, etc.
$96,000 - $186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of real-time data streaming and real-time analytics Knowledge of Microsoft suite of tools is desired (Power BI, Synapse suite of analytics tools, Azure Data Factory) Strong implementation skills and working knowledge of data structures, algorithms and big data tools (Spark, Hadoop, Python, SQL, NoSQL, Hive); Must have hands-on experience using Spark.
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Strong experience in data curation/aggregation/preparation using Azure Data lake, Azure Data Factory, DBT and distilling data into meaningful insights with hands-on expertise on Azure and Snowflake/Databricks.
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Hands-on experience with natural language processing techniques including Sentiment analysis, Word embeddings. Experience with Hadoop/Hive, Neo4J, Apache Spark, Kafka and MongoDB is a plus.
Full-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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Experience as a hands-on contributor or in leading a team to develop multiple advanced analytics solutions or design/implement large data engineering programs in areas such as price optimization, underwriting risk management, market mix effectiveness analysis, agency management, customer lifetime value, customer segmentation, claims analytics, contact center analytics, etc.
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Strong implementation skills and working knowledge of data structures, algorithms and big data tools (Spark, Hadoop, Python, SQL, NoSQL, Hive); Must have hands-on experience using Spark.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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A person who can handle all at once - Design/Build, Hands-on development, Co-ordination of development in distributed environment Very good at engaging Business stakeholders and apt at Business engagement and requirement discovery Good experience in SDLC, Agile, Continuous Integration Continuous Delivery, and change management (CICD ) - Jira, Bitbucket,Jenkins, Artifactory, Ansible.
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Must have hands-on expertise in Cloud Computing (Azure, AWS), Big Data Processing using Oracle, Hadoop/HBase/Kafka/Spark of Data Platforms. Have 20+ years of hands-on Data Architecture, Data Warehousing, Data Analytics, Machine Learning, preferably designing & delivering a highly scalable application, and/or support vendor platforms to service the business needs.
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Experience in leading QA activities in a fast-pace Agile development team, with hands-on experiences in analyzing requirements, converting requirements into meaningful test scenarios, and implementing effective test cases and harnesses accordingly.
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At least 5 years of experience in working as Data Architect for Enterprise DWH and BI project for both on prem and cloud with minimum of 3+ years of hands-on experience in working on Snowflake/Databricks for DWH Development as Architect.
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Strong hands on working experience on different Hadoop components. Cloud implementation experience with AWS EMR, Kinesis, AWS S3 Experience on Optimization of big data, Data Pipeline implementations and columnar data formatsProficiency in automation and continuous delivery methods.
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Hands-on experience with data engineering (databricks, spark, dataflow, etc. Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) focusing on developing software innovations in vehicles, with a mission to accelerate the digital transformation of vehicles globally.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Ability to build ETL pipelines to transform raw data into format suitable for analysis (hands on experience working with ETL tools like AWS Glue, Informatica etc.) Build ETL pipelines to collect, blend, transform raw data into suitable formats for analysis (hands on experience working with ETL tools like AWS Glue, Informatica etc.
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