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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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Note: This home based data entry role is designed for earning additional income and should not be viewed as a full-time position. Home Based Data Entry. - Engage in work-from-home surveys/studies by adhering to specific instructions.
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Hands on experience with ETL/ELT tools like ADF, Informatica , Talend etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon redshift , Snowflake , Google Big Query etc. Job Title- Lead Azure Data Engineer/ Architect [Strong hands on with SQL, Pyspark, Databricks & Azure cloud.
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Work closely with Marketing teams to understand their data needs and translate business requirements into technical specifications. Proficiency in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Snowflake, Cassandra, Aurora.
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Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python). As a Data Scientist on the Square Loans team, you will partner with cross functional stakeholders like Product, Credit Policy, Engineering, and Operations to shape and execute strategies that expand credit eligibility, enhance loan gross profit, and improve cohesive banking user experience on a global scale.
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This degree prepares students for entry-‐ and mid-‐level roles in analytics, such as data analyst, data specialist, database analyst, program analyst, research analyst, or research associate.
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The ideal candidate will be equal parts responsible for driving initiatives at deep technical level and ensuring robust operational rigor to achieve stability and scale in our data environments.
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As a Site Reliability Engineer, you will be part of the Data & Analytics Services (DAS) Team and work with application development and QA teams, DevOps teams as well as our National IT teams architecting, building, and managing the systems that support the Federal Reserve System application suite both on-prem and in the Cloud.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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As a part of our Corporate Engineering division, our vision is to spearhead technology and data-led solutions and experiences to drive growth & innovation at scale. Demonstrate at least 5 years of experience in designing and constructing ETL/ELT processes, managing data solutions within an SLdriven environment.
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Position summary : Under the direction of the Financial Services Operations Manager, the Accounting Specialist is responsible for providing specialized and routine accounting support in the areas of time entry, data maintenance, task uploads and month-end tasks.
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Assists with the data entry requirements to create G514 commitments in FFMS (or other approved DHS/MGMT/FPS database); assists with data entry requirements for creating obligations for certification.
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Consulting, Staffing & Staff Augmentation, Managed Services, design thinking, big data, employee engagement, executive hires, digital engineering services, talent development, R&D Labs, Cloud Computing, DataOps, DevOps, RPA, digital transformation, and AIOps.
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CI/CD orchestration (Jenkins, CircleCI, or TravisCI)ETL, data modeling, cloud-based data storage, processingGCP Data Services (Dataflow, BigQuery, Dataproc)Workflow and data pipeline orchestration (Airflow, Oozie, Jenkins, etc)Container orchestration technologies (Kubernetes, OpenStack, Docker swarm, etc)Open source software involvementMonitoring/Logging with technologies like Splunk, ElasticSearch, Logstash/Fluentd, Stackdriver, Time-series databases like InfluxDB etc.
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Proficient data analysis skills and understanding of statistics; ability to convey data clearly and generate insights with data-mining software (e.g. Tableau, Spotfire, or custom data analysis tools.
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data entry jobs Title: work at home data entry operator in San Francisco, CA
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