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Apply familiarity and skill with additional programming languages (e.g., Python, R), statistics, machine learning tools, data structure, data modeling, cloud computing, MS Azure, and Databricks to expand and enhance surveillance data value.
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Strong programming knowledge of SQL, Python, R, Java, Scala or equivalent. The Sr. Data Engineer will design, build and operate high performance data centric solutions utilizing the comprehensive big data capabilities for the company's data platform environment.
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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. 5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT.
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Skills Required: Requires experience in the following: Agile SDLC; Application Architecture Disciplines; Jenkins; NodeJS; Spring; Java; Python; React; Shell Scripting; SQL; REST; Maven; Apache Ant; JSON; Apache Zookeeper; AWS Cloud Services; Oracle; Apache Spark; Splunk; GIT; Junit; Unit Testing; and User Acceptance Testing.
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Enterprise Data Analytics team is looking for a contracting resource with proficiency in Python programming, SQL, Big Query, Vertex AI, Kubeflow, TensorFlow, Google Cloud Storage, Kubernetes, Pub/Sub, Dataflow and other related tools within the Google Cloud Platform ecosystem.
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Expertise in architecting, designing, and building end to end data platforms in the GCP environment using BigQuery and other services while adhering to best practices guidelines such as open standards, cost, performance, time to market and minimize vendor lock.
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Must be well versed in the automation, scripting, monitoring, including use of tools from the major cloud platforms, including but not limited to OpenShift Cloud Formation, Terraform, Ansible, Shell, Python.
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You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture.
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Python, and/or MATLABTask / team leadership experienceStrong math skills and ability to learn complex engineering conceptsFamiliarity with Linux and open-source toolsAbility to clearly communicate technical ideas Hours per Week40 hours per weekU.S. Citizenship RequirementsDue to our research contracts with the US federal government, candidates for this position are required to be US Citizens.
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Experience of programming languages extensively used in Data Science applications (e.g., R, Python, Pyspark, Scala, Java, etc.) Experience designing Data Warehouse/Data Lake, Cloud Based Technologies (AWS – Data Migration Service, Glue, S3, EC2, Lambda, Step Functions, Document DB, RedShift / Spectrum.
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Proficiency in tools and technologies: BigQuery, Cloud Functions, Cloud Run, Dataform, Dataflow, Dataproc, SQL, Python, Airflow, PubSub. Experience with Microservices architectures - Kubernetes, Docker.
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E Kotlin, Scala) as well as Python development experience. Experience in Natural Language Processing, Machine Learning Ops and data pipelines. This role will be part of the product development team, building analytic services using models built by data science teams.
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Familiarity with Oracle and non-Oracle technical integration tools and platforms, including Oracle SOA and OIC, modern REST APIs, file transfer protocols, and real-time data streaming. Data Migration: Lead the migration strategy from Oracle E-Business Suite to Oracle Fusion Cloud ERP, ensuring alignment with business goals and technical feasibility.
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Strong proficiency in data visualization tools (e.g., Tableau, Power BI, and others) Expert in SQL development for both data modeling and ad hoc querying Experience in data modeling and supporting tooling such as dbt or sqlmesh Experience using cloud-native data warehouse solutions such as Snowflake or Databricks Experience managing a team of analysts, with a demonstrated ability to lead and develop talent.
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Analyzes and evaluates data fields of GCIC/NCIC records in department. Inquiries against confidential criminal justice data bases for compliance with the Rules of the GCIC Council, federal and state laws and operational procedures.
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data python r jobs Company: Aptask in Atlanta, KY, Canada
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