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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc.
$120,000 - $162,500 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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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.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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Experience with workflow orchestration management engines such as Airflow, Dagster, DBT, etc Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc). What you'll bring to Circle: For Senior Data Engineer (III) 4+ years of professional data engineering experience.
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Develop and optimize big data processing using Spark and PySpark within the Databricks environment. You will be responsible for implementing and maintaining data solutions on AWS and Databricks platforms.
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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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14-16 Years of Data and Analytics experience with minimum 5+ years in one ore more of cloud platforms like Azure, AWS or Google Cloud Platform and Snowflake Cloud native data services.
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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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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks.
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Deep understanding of best practices and current trends in cloud providers, are comfortable working with multi-terabyte datasets, and skilled in high-scale data ingestion, transformation, and distributed processing; experience in understanding Apache Spark or Databricks is a plus.
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Hands-on expertise in data technologies with proficiency in technologies such as Spark, Airflow, Databricks, AWS services (SQS, Kinesis, etc.) , deploying via Terraform, Pulumi, or AWS Cloud Formation / CDK.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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1+ year of experience in data engineering using open-source technology stack along with cloud computing (AWS, Microsoft Azure, Google Cloud) 1+ year Experience working with Cloud Data Warehouse solutions (i.e., Snowflake, Synapse, Redshift.
$72,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hadoop/Big Data/Databricks Certifications. Manage Azure Data Factory, Azure Functions, Databricks, Key Vault, Azure Blob storage, and Azure DevOps. 2+ years of experience with Azure/AWS or GCP cloud.
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Job Schedulers – Airflow, Oozie or other ETL Scheduler Data Analytics – AWS Cloud Native Services Big data architecture – Python, Scala, Hadoop Bigdata, Hive, Pyspark etc.
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databricks big data engineer aws cloud jobs Title: data engineer Company: Costco Wholesale
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