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Minimum of 5 years of hands-on experience in AWS and Big Data technologies such as Java, Node.js, C#, Python, SQL, EC2, S3, Glue, Lambda, Spark/SparkSQL, Hive/MR, Pig, Oozie and streaming technologies such as Kafka, Kinesis, NiFI etc.
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Collaborate with IT and data science teams to leverage big data and artificial intelligence in pharmacovigilance. Oversee the collection, evaluation, and reporting of adverse event data from clinical trials and post-marketing sources.
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Experience with Google Cloud Services such as Streaming + Batch, Cloud Storage, Cloud Dataflow, Data Proc , DFunc, Big Query & Big Table. 6-8 years of Data Engineering experience working with both distributed architectures, ETL, EDW and Big Data technologies.
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Knowledge and proven use of contemporary data mining, cloud computing and data management tools including but not limited to Microsoft Azure, AWS Cloud, Google Cloud, hadoop, HDFS, mapr and spark.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Strong knowledge and experience with relational, non-relational and big data databases such as Oracle, MongoDB, PostgreSQL, MSSQL, DB2 z/OS, DB2LUW, Teradata, Hadoop, etc. Unique opportunity for the ideal candidate with 3+ years’ experience in and understanding of Database and Big Data environments with affinity for cybersecurity/vulnerability and risk management.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery. GCP Data Engineer.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Reporting and Dashboarding experience such as Google Looker or Google Data Studio. Senior application developer with 7+ years of experience to support application development of Time & Pay Data Analytics in Google Cloud Platform.
TemporaryExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Design, develop, and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, and Big Query. Job Title : Sr GCP Data Engineer.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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POC for building an embedding store leveraging autoencoders Build frameworks to fast-track model development to deployment lifecycles Modularize the entity-based feature engineering code base on Hadoop to leverage big data technologies such as Pyspark and Spark SQL.
$40 an hourPart-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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MarTech and big data knowledge is preferred in the digital space (DMP, digital identity solution, data clean room, CDP, etc.) The candidate will lead the synthesis of complex/big data to develop and execute actionable strategic and tactical digital initiatives and to identify marketing opportunities for measurable impact and profitable growth.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout, etc.) Data Visualization (e.g., Tableau, PowerBI, TIBCO-Spotfire, CliqView, SPSS, etc.) 4+ years of experience in data architecture, data management, data engineering, data science or data analytics.
$197,863 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Big Data Technologies: The data scientist has knowledge of big data technologies like Apache Hadoop, Apache Spark, or distributed computing frameworks. We are looking for someone with experience with AWS Client and AI tooling, along with distributed computing tools such as DataBricks, Comprehend, and SageMaker; data visualization.
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Experience with advanced Business intelligence (BI) tools and platforms (Tableau, Power BI, Google Cloud Platform, Big Query, Azure, SQL, Databricks) Ensure Data & Analytics product consistency following Mondelez standards and architectural guidance.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Applying knowledge and relevant work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development tools (tools: IICS/AWS Glue/Matillion/Abinitio SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse.
$202,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Data Migration experience from ECC or any legacy sources to the Target S/4 HANA or ECC target systems using Syniti ADMM tools. Accenture’s SAP practice, and we bring the New to life using design thinking, agile development methodologies, and the latest smart tech like IoT, automation, and AI. We even built myConcerto, a mix of SAP and Accenture that helps lead our clients to big wins.
$188,600 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago
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