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Experience with working on big data processing platforms like Apache Spark, building ETL code using Apache pyspark. The ideal candidate will have a deep understanding of data integration, data quality and big data processing engines on Cloud Native and Cloud agnostic platforms.
$139,000 - $168,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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NucleusTeq is a digital and data transformation company that focuses on Big-Data, Cloud, Analytics (AI,ML), Blockchain, Automation & Mobility. Experience with any of the following technologies: Big-Data, Cloud, Analytics (AI,ML), Blockchain, Automation & Mobility.
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As a member of the Data Platform Engineering team, you own the core Big Data/ML platform, data ingestion, processing and serving, ETL/ELT pipelines, data governance and security compliances, data analytics and visualization tooling, data modeling and data warehouse that powers our Product, Engineering, Analytics, and Data Science teams for experimentation, operational excellence, and actionable insights, so as to fuel and accelerate business growth.
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Proficiency in SQL and experience with big data technologies (e.g., Hadoop, Spark). 3-5 years of relevant experience in a data engineering role. Bachelors degree in Data Analytics , Data Science, or Computer Science or other related program.
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Expert-level relevant hands-on engineering skills across a broad range of technologies, including deep expertise in the construction of enterprise-grade APIs and Services using state-of-the-art techniques (Java, Big Data Technologies, Apache Flink, Microservices, APIs, JSON, XML, REST etc.
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Usage of Azure Storage ranges drastically - from hot access such as disks, to millisecond access such as video streaming data, to cold data such as archival data, and to hyperscale access, big data, machine learning, and many more.
$112,000 - $238,600 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies such as Hadoop, Hive, or Presto and cloud platforms such as AWS, Azure, or Google Cloud. Drive innovation and integration of new technologies into organization-wide projects and activities in the big data space.
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Experience with big data technologies such as: Hadoop, Hive, Spark, EMR. As an Amazon Senior Data Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable.
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Must have for Onshore candidate- 2+ years hands on experience on Google Cloud Platform Cloud data implementation projects (Dataflow, DataProc, Cloud Composer, Big Query, Cloud Storage, GKE, Airflow, etc.
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Knowledge of big data technologies such as Hadoop, Spark, or Kafka is a plus. Enstall is currently seeking a highly skilled and experienced Senior Data Engineer to join our growing Analytics and Digital team.
$110,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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4+ years of experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) and data modeling concepts. Familiarity with data orchestration tools (e.g., Apache Airflow) and version control systems (e.g., Git.
$110,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience on big data technologies and tools (e.g., Hadoop, Spark). Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields or equivalent (minimum 12 years) work experience.
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