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Our client is currently seeking an experienced Data Engineer – Big Data individual for their Midtown office in Atlanta, GA. The successful candidate must have Big Data engineering experience and must demonstrate an affinity for working with others to create successful solutions.
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Building data ingestion pipelines is highly technical and requires advanced skills with computers and proficiency with Big Data tools and technologies such as SQL, Python/Scala, Spark, Spark Structured Streaming, Spark SQL, Kafka, Sqoop, Hive, Kudu, HBASE, Impala, S3, HDFS, or Cloud platforms such as AWS, Google Cloud Platform, Azure, etc.
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Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage.
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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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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
$147,500 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Tractian's Net Revenue Retention (NRR) is as big as Silicon Valley startups, such as Snowflake (158%) and Twilio (155%), which highlights the stickiness of our products. Premium Medical, Dental and Vision Coverage.
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1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred. The Data Engineer II will contribute to the Company's success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring subscriber movements and metrics.
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Proficiency in Databricks, Azure services (e.g., Azure Data Lake Storage, Azure Synapse Analytics), and Spark for big data processing and analytics. Stay up-to-date with emerging technologies and best practices in data engineering, cloud computing, and big data analytics.
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We are looking for a Staff Data Scientist to partner with our product managers, designers, software engineers and business leaders to drive adoption for two new products, real-time driving behavior tracking and GPT-4 powered chatbot.
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Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark) is a plus. Relevant certifications (e.g., Certified Data Management Professional, AWS Certified Solutions Architect) are preferred.
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A proven track record of administration, engineering, and operationalizing Databricks platform in a production mode at scale for Data Engineering, Data Science or MLOps use cases. As an AWS Databricks Administrator within this Data Services team, you will be putting your Databricks knowledge and experience to work as you collaborate with teams of Data Engineers, Infrastructure and Product Managers to build and maintain the new data infrastructure platform for all of Live Nation and Ticketmaster.
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Work with Big Data and transform complex datasets into more usable formats. Proficient in data science tools and programming languages such as Python, R, Scala, SQL, and SAS. Work with a variety of data science tools and programming languages such as SAS, Python, R, Scala, SQL.
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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.
$140,000 - $165,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate will have a strong background in cloud-based data processing systems, data warehousing, and big data technologies. Work closely with our data engineering team to ensure that our Databricks platform is optimized for performance, scalability, and reliability.
$100,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies such as Databricks, Spark, SparkR. The ideal candidate will be skilled in statistical analysis, machine learning, and leveraging Azure technologies in big data to drive significant business impact.
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big data jobs Title: registered dental hygienist in Georgia
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