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Hands-on experience with AWS big data analytics, Redshift, Kinesis, Lambda, Glue catalog, Athena, Airflow, Databricks, Python, Kafka, Spark and PySpark. Experience understanding of relational, structured/unstructured and semi-structured data with designing data lake, data governance, data lineage and data quality.
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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.
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Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; e web, service, data, and infrastructure) and insurance specific (i.e. Guidewire, EIS, Duck Creek, etc.
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Proven experience with Azure, Databricks and Hadoop distributed frameworks while handling large amount of big data using Spark and Hadoop Ecosystems. Strong understanding of databases and big data software technologies, specifically Azure and Databricks.
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Guide through your hands on experience leading large-scale global data lake/warehousing and analytics projects. Manage and Monitor the data quality of the content in the data architecture and platforms.
$196,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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This role will be part of a dedicated hybrid actuarial/data science team designing and delivering powerful analytical tools utilizing statistical modeling, machine learning, cloud computing, and big data platforms to enhance or overhaul core actuarial processes For Commercial Lines this team is responsible for all modeling that pertains to pricing, class plans, and profitability.
$170,040 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Data Analytics, Anti-Money Laundering Senior Consultant, you will have the opportunity to be on the forefront of helping clients meet the myriad challenges of financial crime issues.
$207,763 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Design, develop, and implement Master Data Management (MDM) solutions using Informatica MDM software primarily cloud migration. As Master Data Management (MDM) Informatica Expert you will be responsible for designing, implementing, and maintaining MDM solutions using Informatica MDM software.
$1,500,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Intermediate to Advanced skills in data analysis and data governance tools (e.g., SQL, SAS, TOAD, Python, Hadoop, Teradata, Databricks, Snowflake, Tableau, Collibra, Infosphere, Alation, etc.
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Experience using advanced analytics tools to combine large datasets and analyze them in big data environments, such as ADL, AWS, Snowflake, etc. Experience with setting up and maintaining your own IT and data systems, including Kubernetes, ZFS, Docker, engineering software license management, etc.
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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink). Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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We utilize a plethora of open source and industry accepted technologies for our big data problems such as Apache Spark, Apache Storm, Amazon Web services, and Apache Kafka. Collaborates with other peer organizations (e.g., Business Analyst, Data Modeler, QA, SRE, technical support, etc.
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Develop Master Data Management (MDM) solutions: Implement solutions across various master data domains within MassMutual, ensuring data consistency and reliability. You will design, build, and measure complex Informatica Power Center and MDM processes to master data for different Master Data domains in MassMutual.
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Experience and passion for Data Science - machine learning, deep learning, and NLP (LLM) Design, code, test and implement quantitative models, leveraging data science techniques, in machine/deep learning and NLP.
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Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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big data jobs Title: hadoop consultant in Farmington, CT
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