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Minimum of 10 years of experience in big data, database and data warehouse architecture and delivery. Big Data/analytics/information analysis/database management in the cloud.
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Experience with big data technologies (e.g., Databricks, Snowflake) and data visualization tools (e.g., Qlik Sense, D3. Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. + Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence.
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Key Responsibilities:Design, architect, and engineer big data solutionsDevelop a modern data analytics lake housePropose and standardize ELT, BI, AI, governance, and analyticsPublish enterprise ingress, development, transform, egress, consumption guidelinesInstrument monitoring, self-healing, and self-describing data pipelines to meet tier 1 OLAs/OpX: i.e., own operational outcomes.
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This position will serve as Project Director and lead analyst overseeing and coordinating the data elements needed to fulfil the requirements of a newly awarded Federal State Maternal Health Innovation Program Grant.
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Successful candidates will not only demonstrate advanced knowledge of AWS, Databricks, Snowflake, Python, Spark APIs and Event Driven patterns – but have tangible experience with similar efforts to modernize legacy data & analytics platforms from on-premise to cloud.
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4 + years implementing Big Data solutions Hadoop, Hive, Pig, Impala, Oozie, MapReduce, Apache Spark etc. Work with DBA and Data Modeler to design and implement changes for application engagements to facilitate the archive and purge of non-compliant data.
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Data Modernization - Data Engineer I (AWS, Databricks, Python) page is loaded. Data Modernization - Data Engineer I (AWS, Databricks, Python) Data Engineer I (AWS, Databricks, Python.
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SAP Finance Transformation & Enterprise Performance Management Senior Manager in the technology solutions team of Accenture Technology operates at the intersection of Strategy, Process, Data, and Technology.
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Analytics - Data Lake solutions, Big Data, Hadoop - MapReduce, Apache Spark. This role is ideal for someone who is tired of working on the same project or with the exact same technology for months or years without the possibility of future growth.
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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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Cloud Big Data skills, such as Azure, AWS, Snowflake. Must have advanced level SQL programming and Data Visualization skills (Tableau, Power BI, Spotfire, D3. Deep knowledge of Life Sciences Research and Early Discovery (R&ED ) data & analytics in Target Screening, Lead Optimization, Vaccines, Lab - Dry & Wet, Instrumentation, LIMS, CMC and other relevant areas.
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Ability to find ways to use available data sources to answer questions and solve problems. Tailors communication of analysis, project results, and other business initiatives to audience.
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Formulate clear, data-driven business cases, write feature specifications, manage project execution and sequencing, and communicate regular updates to stakeholders. Experience with data governance tools (e.g., data catalogs, active metadata management platforms, master data management, and data lineage.
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big data jobs Title: data project in Hartford, CT
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