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We are seeking a highly skilled and experienced Senior Data Engineer with a strong background in SQL, Python, and extensive hands-on experience with Azure Databricks and Azure Cloud services.
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Must have hands on Snowflake, AWS and Airflow. Lead Data Engineers will support other Data Engineers, Data Architects, and Data Analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
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Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines. Hands-on production environment experience with distributed processing systems such as Spark.
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Hands-on experience with data flow and pipeline frameworks such as Kafka, NiFi, Spark, Airflow, and Hadoop. Hands-on experience with one or more database technologies (e.g., PostgreSQL, Oracle, MySQL, SQL Server, DB2, MongoDB, Neo4j, Couchbase, Cassandra.
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5+ years of hands-on experience in data engineering/ETL using Databricks on AWS/Azure cloud infrastructure and functions. Hands on experience developing batch and streaming data pipelines.
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Must Have Skills: AI Tools AWS - Athena AWS - S Glue hands-on development of reporting applications msExcel RedShift SQL Tableau Desktop /Creator Nice To Have: AWS - Lambda AWS - SNS/SQS Tableau API Integration Responsibilities: Expertise to understand complex queries, proof test, and tweak for the intended use.
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Working experience with Continuous Integration & Continuous Deployment with hands-on expertise on Jenkins, Terraform, Splunk and Dynatrace. Design a scalable target state architecture for data processing-based on document content (Data types may include, but are not limited to: XML, HTML, DOC, PDF, XLS, JPEG, TIFF, and PPT) including PII/CII handling, policy-based hierarchy rules and Metadata tagging.
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3+ years of hands-on experience with AWS services like S3, EMR, Glue, EC2, ECS, IAM, Cloudformation, Athena, Lambda, and other AWS services. 5+ years of hands-on work in the field of software development.
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Our growing data teams are looking for a savvy Lead Data Engineer to join and help build and evolve the next generation of Audience & Identity data platform that handles data at scale and uses state-of-the-art technologies to unlock the data's business value.
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Hands on development with Amazon Web Services (AWS) services commonly used by our team including RDS, Lambda, S3, API Gateway, and SageMaker. Previous experience working or collaborating on Data Analytics or Data Science projects or initiatives.
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We have an immediate need for a contract Sr. Data Engineer to join a global mass media and entertainment conglomerate. Sr. Data Engineer (Local/Remote) Build tools and services to support data discovery, lineage, governance, and privacy.
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Hands-on production experience with orchestration systems such as Airflow. The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer.
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Required Skills Strong hands-on experience Informatica Enterprise Data Catalog, Axon and Data Engineering Integration. Experience working with Power Exchange DB2 on Zos, creating lineage with custom SQL or any other data integration engines.
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Hands-on experience implementing cloud-based data infrastructure and integration patterns using tools like Amazon API Gateway, S3, SQS, Airflow, Apache Kafka, Lambda, Snowflake, etc.
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This position may be filled by either a Data Center Engineer level or a Principal Data Center Engineer level based on the qualifications listed. Preferred Qualifications: VMware Certified Professional (VCP) certification Hands-on VMware virtualization and/or cloud experience Experience administrating of vSphere and vCF; experience with ESXi, vCenter, NSX and VDI Experience trouble shooting of VMware products in a production environment Experience administrating Container Technologies (e.g. Kubernetes, Docker) in an production environment Operating System Certification (Linux+, VMware Certified, etc.
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hands on data jobs Title: data engineer in Lahaina, Hawaii
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