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Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (e.g. Parquet, Avro, Protocol Buffers.
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Familiarity with big data technologies, such as Amazon Redshift, Google BigQuery or Snowflake. Knowledge of machine learning algorithms and data analysis techniques for optimizing ad targeting and performance.
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Experience with Snowflake/Big Query, Google Dataproc/Databricks or any big data frameworks on Spark. Establish strong software engineering principles for development in Python on the Azure/Google Cloud Platform.
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
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Stay up-to-date with industry best practices and technologies in analytics and data engineering. Develop and maintain robust, scalable, and efficient data pipelines using Snowflake, SQL, Tableau, and DBT.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Understand various technological solution for building Canonical Data Model (CDM) and big data solution including pros and cons associated with it. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients.
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5+ years in Data Analyst position or otherwise in projects involving big data. Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology.
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Demonstrated ability to drive business-oriented and innovative solutions using data science, feature engineering and machine learning. 3+ years of experience leading/building advanced analytics and big data solutions, large-scale data modelling, Ability to engage with executive/VP level stakeholders from the client’s team to translate business problems into high-level analytics solution approach Excellent ability to identify sources of value from data analytics across core business domains (such as marketing, risk, and operations) and to define paths to realizing that value.
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Research and project experience in complex travel behavior models, traffic flow theory, origin and destination trip patterns, big data analysis, forecasting future year travel and developing traffic projections defines this role.
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At Cognizant Digital Engineering, a small cross functional team comprised of a Product Manager, an Architect, Full-Stack Developers, UI/UX designers and Big Data analysts builds higher quality software faster siloed individuals working independently.
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Expertise and experience in delivering large-scale systems using big data technologies including but not limited to: Enterprise scale Kafka, Splunk, Prometheus/Loki/Grafana stack, ELK stack and other Time Series databases.
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Completed Apache Spark Programming with Databricks, Data Engineering with. Experience in Spark and/or Hadoop, Flink, Presto, and other popular big data engines. Completed Data Engineering Professional certification & required classes.
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Experience with cloud-based analytics platforms and big data technologies such as Snowflake, GCP, DBT, FiveTran, Dataiku, etc. Teragonia develops Analytics Engineering and AI solutions exclusively for private equity portfolio companies, supported by a team of technologists, data scientists, and business experts with first-hand private equity experience as investors, operators, and M&A advisors.
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The ideal candidate will have a robust understanding of big data processing, experience with Apache Spark, and a proven track record in Python programming. We are seeking an experienced Python Developer with a strong background in PySpark to join our data engineering team.
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