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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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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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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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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.
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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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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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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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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.
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Experience working with Data Technologies like databricks, Redshift, Python, data warehouse, data lake, and data pipeline technologies. Strong understanding of data management concepts, data engineering, data governance, and related technologies.
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Experience in Big Data/Data Warehousing at scale- Including but not limited to Hadoop, Snowflake, Google BigQuery, Azure Data Lakes, Azure Synapse Analytics, Amazon Redshift, AWS EMR.
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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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The Legal Operations Lead Insights Analyst role is a full-time, professional track role whose primary responsibility is to identify, generate and communicate insights for the Legal Department through the blending, transformation, and critical evaluation of data through descriptive, diagnostic and limited predictive methods relying on Chick-fil-A’s established analytics tooling stack.
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Mercer Digital specializes in business and cloud consulting, with a goal of transforming our clients' businesses by leveraging expertise in big data, cloud computing, and enterprise services.
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big data jobs Title: data project Company: E Solutions in Atlanta, GA
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