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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
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Active Google Cloud Data Engineer Certification Hands on in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Python, Pyspark, Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & Github.
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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Hands-on experience building and delivering Enterprise Data SolutionsExtensive market knowledge and experience with cutting edge Data, Analytics, Data Science, ML and AI technologiesExtensive professional experience with ETL, BI & Data AnalyticsExtensive professional experience with Big Data systems, data pipelines and data processingDeep expertise in Data Architecture, Data Modeling, and task estimations.
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Planet Technology Enterprise is an internationally recognized IT Consulting Services firm established in 2003 with a specialty in Workday, SAP, Cloud Solutions & Big Data. We understand the marketplace and pride ourselves on serving IT candidates as individuals, not commodities.
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Lead the architecture and design of data pipelines, data models, and ETL processes within Snowflake, Databricks and DBT Labs. The Senior Data Architect with Snowflake experience is a specialized role responsible for designing and implementing data solutions on Azure cloud platform, particularly leveraging Snowflake and DBT Labs. This role involves collaborating with clients and internal teams to architect, deploy, and optimize data solutions that meet business requirements while ensuring scalability, security, and performance.
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Experience with GCP tools such as BigQuery, Cloud SQL, Python, Cloud Composer/Airflow, Cloud Storage, and Dataflow/Data Fusion. A key responsibility is migrating historical data from Teradata to the new GCP system and developing data pipelines to streamline data loading into BigQuery.
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Oracle Cloud Infrastructure Certified Architect Professional, Oracle Cloud Infrastructure HPC and Big Data Solutions Associate. Google Cloud Architect, Cloud Developer, Data Engineer, Network Engineer, etc.
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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight:Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Bachelor's degree in Business Administration, Computer Science, Mathematics, Engineering, Accounting, or a closely related field and three years of progressively responsible related experience in natural gas utility operations, gas measurement, transmission, and distribution; or.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Work with the Database Engineer and Developer to carry out the development of the data warehouse based on the requirements using PostgreSQL, SQL Server Integration Services, SQL Server Management Studio, Snowflake, Python, PySpark, Azure Data Factory and Azure Data Bricks.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Must be enrolled in an accredited college or university and be pursuing a Bachelors or Masters degree in Information Systems, Data Engineering, Data Analytics, Computer Science or other IT-related degree; or, a minor in Information Systems with a major in Accounting, Finance, Statistics or Mathematics.
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big data science jobs Company: Denodo in Dallas, TX
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