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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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Client Corporation 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 platform certification (GCP/AWS/Azure/Snowflake) Implementation and tuning experience in the big data ecosystem such as Hadoop, Scala, Hive, Pig, Spark, HBase, HDFS, YARN, Sqoop, NiFi, Storm, Impala, Hawk, Flume, Kafka, Sqoop, etc.
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Working Knowledge of Jenkins, Azure DevOps, Ansible, Terraform, Packer, Git, ServiceNow a big plus. AWS DevOps certification or Azure DevOps certification. Experience in building / deploying cloud native applications – OpenShift, Azure Kubernetes Service (AKS.
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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. You have a strong background in data quality management and are experienced with SaaS and/or digital sales metrics.
$168,000 - $262,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our transportation client is looking for a Big Data Engineer - Spark/Databricks to join their team. Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka.
$65 - $70 an hourExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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AI Solution Architects are data and analytics professionals with at least 5 years of experience with knowledge of data lake architectures, data integration, and data governance, and at least 2 years of experience with cloud-based AI/ML technologies (such as tools from AWS, Azure, Google, and Databricks.
$126,587 - $207,300 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Azure Data Factory, Spark, SQL, Python, Databricks, Snowflake. Design, develop, and implement robust and scalable data solutions using Azure technologies, including Azure Data Factory, Azure SQL Data Warehouse, Azure Databricks, and/or Azure Synapse Analytics.
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Knowledge with design of data integrations using Rest APIs, streaming technologies, ETL, ELT and other Data Integration patterns utilizing tools such as SSIS, Databricks and Azure Data Factory.
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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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Architecture and Design: Architect robust and scalable data pipelines and analytics solutions on Azure Databricks, leveraging services such as Apache Spark, Delta Lake, and MLflow.
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Experience with big data technologies (e.g. Apache Spark, Hadoop) and data processing frameworks. Design, develop, and maintain a robust, scalable, and secure data infrastructure like cloud infrastructure, data lake, observability, system integrations, Databricks workspaces.
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Data Management: Snowflake, Databricks, Big Query. Data Transformation: DBT, Airflow, Talend, Alteryx. Business Intelligence: Qlik, Domo, PowerBI, Tableau (focus on admin, data pipelines, and light development.
$90,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Build and maintain reliable, automated, and scalable ETL pipelines on Azure data platforms, supporting critical business functions and analytics, with a strong focus on Azure Databricks and Azure Onelake.
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azure big data jobs Title: databricks in Atlanta, GA
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