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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. Experience with stream-processing systems: Kafka , Storm , Spark-Streaming , etc.
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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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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EOSID specializes in the complete optical imaging and remote sensing chain, from the analysis, design, development, integration, test and evaluation of imaging and sensing systems, to the processing, exploitation, and visualization of data and imagery.
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Participate in on-call rotation and triage production incidents, lead RCAs, and implement preventive actions As a engineer with Retail, Site Reliability Engineering team, you will be at the forefront of Cloud and Big Data technology.
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Other technical skills needed could include Python, Docker, Kubernetes/EKS, Argo CD, GitHub Actions, IaC: Terraform, Cloud Formation, Helm, Splunk, Dynatrace. The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Solid experience implementing data lineage, data quality and data observability for big data workflows.
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Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Proven data architecture experience on a large scale Azure Data Lake platformExperience onboarding and managing multiple data pipelines of high complexity and processing millions of records per dayExperience working simultaneously with multiple data sources, entities submitting data daily to the datalake and deliver Technical Assistance to ensure successful operations.
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Experience with supporting moderate to high level Windows Linux system administration duties associated with the DevSecOps environment including: Hyper-V, Anaconda / Python packages, Gitlab, kubernetes (Rancher), Docker/Podman, Artifactory, X-ray,Neuvector, applications updates and upgrades, application hardening, general troubleshooting and other assigned duties.
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Experience in Natural Language Processing, Machine Learning Ops and data pipelines. Experience with Data processing, feature engineering and model evaluation techniques. e Kotlin, Scala) as well as Python development experience.
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Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
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4 years of Experience with supporting Windows Linux System administration duties w/DevSecOps, Hyper-V, Anacoda, Python, Gitlab, Docker. Experience with supporting moderate to high level Linux system administration duties associated with various types of IT systems and enterprise applications not limited to Splunk, Nessus, Anaconda / Python packages, updates and upgrades, system hardening, general troubleshooting.
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