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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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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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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.
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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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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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Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; e web, service, data, and infrastructure) and insurance specific (i.e. Guidewire, EIS, Duck Creek, etc.
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The ideal candidate is an ex-Big 4, highly motivated self-starter with prior experience in operational Internal Audits, Enterprise Risk Management, and SOX in the Fintech or Software industry who has superior written and oral communication skills, takes pride in the accuracy and timeliness of their work and is used to working as part of a remote team and collaborating with business partners in offshore locations such as India and Mexico.
$76,500 - $110,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will collaborate with the project team and Salesforce Technology Architects to understand requirements from business stakeholders, establish and deliver best practices, and maintain a high level of quality within the Data Cloud technology environment.
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Job Overview: The Data EPC (Electronic Parts Catalog) Pipeline Engineer will be responsible for designing, implementing, and maintaining data pipelines to manage and streamline the catalog data.
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2-4 years of experience in modern data technology stacks such as Google Big Query, Snowflake, Databricks, etc. Handle a variety of data sources such as Salesforce CRM, Pardot, Marketo, BigQuery, Google Analytics 360, Segment, Mixpanel, InfoMatch, Treasure Data CDP, among others.
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Proven experience (6+ years) [BB1] as a Product Owner/Product Manager, preferably in the data domain. As a Lead Data Product Manager, you will play a critical role in defining and executing the vision, strategy, and roadmap for Marketing data.
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Ability to perform management and Design of Data resources and catalogs using a combination of Informatica Axon & Enterprise Data Catalog. Experienced in cloud architecture, design, and hands on knowledge of core CRM application, data integration & mastery services such as SalesForce, MuleSoft, Informatica.
$117,300 - $195,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions from fraud detection to cancer research, to national intelligence.
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Hands on experience on Machine Learning, Artificial Intelligence, and/or Big Data. Experience with data visualization in Power BI, SSRS, or other comparable tools. Knowledge of data base management systems such as Oracle, SQL Server or MySQL.
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Solid experience implementing data lineage, data quality and data observability for big data workflows. Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka.
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big data jobs Title: data project manager in Atlanta, GA
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